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LPL Financial's Cara Dailey on Data Enablement and Balancing Data Defense with Offense
6 april 2022 · 38 min
With every passing year, a new batch of data tools comes available, and a new crop of data professionals enters the job market. The Chief Data Officer has evolved into a position that acts both on the offensive and defensive sides of these changes. Our guest today, Cara Dailey, the EVP, and CDO at LPL Financial, has helped shape and define the role of data leaders in the C-suite as she’s moved through her career. Her experiences at companies like Nike, Bank of the West, and Silicon Valley Bank have led her to embody a spirit of data-enablement – rather than governance. She also begs the question, “Is all data created equal?” Tune in to find out on this episode of The Data Chief. Lees meer
Mentions:
InvestInData
Tom Davenport
Randy Bean - Fail Fast, Learn Faster
Simon Sinek - Start with Why
Monte Carlo
Barr Moses
Harvard Business Review
Key Takeaways
Great CDOs balance offense and defense. Primarily, the role of the CDO started with the idea that organizations needed someone focused on protecting the data, keeping it safe and secure. Now, as the world has evolved, so has the role. Modern data leaders need to also be able to impact their organization by bringing value through performance data analytics for clients, customers, and employees. Cara posits that it’s not enough to simply protect; you must also ask yourself what are you actively contributing?
Focus on data enablement. The best data executives can think of themselves as part of a data enablement forum, inviting a collaborative attitude in the increasingly important world of data governance. Make it such an integral part of the program you’re creating as the data leader. Think of yourself and your team as the data glue that holds the organization together.
Not all data is created equal. While data is a powerful tool for decision-making, it’s important to remember not all data needs to or even should be valued the same. In highly regulated environments, absolute accuracy may be required. But for internal us…
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Unilever’s Vandana Khanna and Deeksha Singh on Demystifying Data, Dreaming Bigger, and Inspiring Business Users with The Art of the Possible
23 maart 2022 · 49 min
If you look around your home, it’s very likely you have at least one item from the Unilever family of brands lying around. From the soap in your shower to the ice cream bars in your freezer, Unilever delivers everyday products that help people get more out of life. And they rely on data to ensure they’re doing so sustainably. Lees meer
Today’s guests are Unilever Director of Digital Finance Transformation, Vandana Khanna, and Director of Data and Analytics, Deeksha Singh. On this episode, the two leaders join Cindi to share exactly how they’re using data to impact everything from supply chain decisions to employee belonging. They also dive into how they are demystifying data at every level, eliminating manual reporting and data visualization work, and using data and AI to be a more sustainable company. All of this and more in today’s episode with Vandana Khanna and Deeksha Singh.
Get even more insights from data and analytics leaders like Vandana and Deeksha on The Data Chief.
Key Takeaways
Change starts with inspiration: When an organization is used to manually creating dashboard reports for every business question or visualizing data in Excel, it can be hard to break these habits and change behaviors at scale. The key is inspiring people with the art of the possible. Show users what good looks like and how technology can empower them to be faster and smarter, and the rest will follow.
Digital transformation goes hand in hand with opportunity: It’s common for business people to run for the hills when they hear the word “transformation.” As a leader, it’s important to communicate that there's nothing to fear. There is no transformation without people. You need both to move the needle, and often people’s roles become even more important because they’re needed to ensure the technology is working as it should.
You may never be bias-free, but you can be bias-aware: People and data are inherently biased, but thankfully bias awareness is growing in corporate culture. One of …
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Afterpay’s Nitish Mathew on Prioritizing Customer Needs, Balancing Governance and Freedom, and Giving Your Team Purpose
9 maart 2022 · 43 min
Nitish Mathew, the Global Head of Data Engineering and Governance at Afterpay, joins The Data Chief to discuss measuring the impact of analytics, the rise of the analytics engineer, the importance of taking risks, and much more. Lees meer
Tune in to learn:
Why you can't take a data center mindset to the cloud (6:30)
Why stakeholder satisfaction is the ultimate KPI (15:00)
Inspiring your team through purpose (19:10)
How to build a “walled garden” for business users (22:40)
The importance of taking risks and celebrating failures (30:40)
Get even more insights from data and analytics leaders like Nitish on The Data Chief.
Episode mentions:
Afterpay Blog
Netezza
Block
CashApp
Christian Idiodi
Five Dysfunctions of the Team
Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI
Risk: A User's Guide
INSPIRED: How to Create Tech Products Customers Love
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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Rakuten’s Takuya Kitagawa on Digital Twins, Getting a CEO to Love Data, and Moonshots
16 februari 2022 · 47 min
Whether you’ve passed your cursor over their logo on a streaming service, spotted it on the front of a Golden State Warriors jersey, or use their cash-back rebate system, the Rakuten brand is everywhere and actively expanding. Lees meer
Today’s guest, Takuya Kitagawa is the Managing Executive Officer & CDO at Rakuten. On this episode, Takuya joins Cindi to discuss how the company has found massive, international success across multiple industries by integrating data across lines of business to deliver better customer experiences. He also dives into the importance of data fluency at every level, and elaborates on how Rakuten is leveraging the concept of “digital twins” to better connect with customers. Stick around to hear all of this, plus exciting details regarding Rakuten latest moonshot projects.
Key Takeaways
Integrated data delivers better customer experiences: Rakuten has seen major success in offering enhanced services and experiences to customers around the world. Their secret? Integrating data across multiple lines of business, starting with customer login credentials. This approach makes using multiple services a seamless experience and builds customer loyalty.
You don’t have to reinvent the wheel: Before building a new technology from the ground up, see if anyone else has already done it. There’s so much you can learn, borrow, or buy from others. If you can learn to leverage the innovation that’s already happening around you, you’ll be in a better position to accelerate your own digital transformation.
Invest in data fluency at every level: It’s important that executives be just as data fluent as anyone else in your organization. For Rakuten, investing in data fluency at the highest levels of leadership manifests as quarterly AI bootcamps and mandatory data trainings.
Key Quotes
“We discovered when we acquired the credit card company, that it is much, much cheaper to send traffic from one internal service to the other than down going through of course adver…
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Etsy’s Chu-Cheng Hsieh on Using Data to Develop a Thriving Marketplace
2 februari 2022 · 44 min
As the world continues to fill with impersonal, factory-machined goods, so increases the desire to see and feel more human creativity in the items we use in our lives. Etsy, a community marketplace for creative goods, was designed to help people sell their unique and homemade items online. The company continues to innovate and transform the small-business world, leading by focusing on innovation in their technology. Lees meer
Today’s guest, Chu-Cheng Hsieh, is the first Chief Data Officer at Etsy. On this episode, Chu-Cheng Hsieh joins Cindi to discuss his unique perspective on helping build a data-driven organization from the ground up and how he’s fostered a culture of experimentation that has led to rapid growth and transformation within the company. He also dives into trends such as machine learning and data observability, and explains some of the most helpful mental frameworks he’s learned in his life and career.
Key Takeaways
Check human intuition with data: Your gut feeling might be right, but in today’s world it’s critical to remember the importance of being able to back up your thinking and your decisions with facts. Hsieh emphasizes the importance of trusting the data that’s in front of you, even if the answer goes against decades of personal experience.
Create a ‘regret minimization framework’: Popularized by Jeff Bezos, the ‘regret minimization framework’ is a way to help you more clearly define what career decisions you should make. It encourages the thinker to imagine being at the end of their life, looking back at what they’ve done, and asking themselves, “Is that really the life story I want to have?”
Invest in insights: Hsieh shares that “You don't want to judge your success based on just [the] outcome. You should judge your success based on the decision quality.” By investing in thoughtful decision-making, you can increase the probability of success, even when you don’t have all the facts or data.
Key Quotes
“I only have one life, so I can either bec…
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Using Data to Transform the Fan Experience in Football and Basketball: Insights from the Indianapolis Colts and Orlando Magic
19 januari 2022 · 51 min
There’s nothing like watching your favorite sports team live and in-person. The roar of the crowd. The smell of the concession stand. The suspense of the game clock winding down to its final seconds. But would you have guessed that behind every ticket purchase, box of cracker jacks, and Jumbotron moment, there are teams of data professionals working to make your fan experience even more seamless and engaging? Lees meer
Joining Cindi today to discuss the data and analytics powering our favorite sports events are Jay Riola, the SVP of Strategy & Innovation for the Orlando Magic, and Charlie Shin, the VP of Data Strategy and Analytics for the Indianapolis Colts.
With perspectives from both the NBA and the NFL, Jay and Charlie explore the evolution of mobile ticketing, challenges with identity management, the importance of building fan trust, and the most surprising insights they’ve ever discovered within their data.
Key Takeaways
Customers expect more for their data: When customers share their data, they expect something in return. Respecting their privacy and keeping their data safe are the bare minimum. They expect real, tangible value. As a business, your responsibility is to use this data to enhance their experience. Whether that be through custom offers, more relevant content recommendations, or more seamless purchasing experiences, what matters most is that you’re delivering on the expectation of value.
Collecting data is one thing, putting it together is another: While technologies like mobile payments and social media have made it easier for businesses to collect data, they’ve also added complexity to the process of building accurate customer profiles. To truly understand the person on the other side of the screen, you must have the right skills and infrastructure to bring all that data together.
Great data scientists need to be a triple threat: It is no longer enough to be very good at the technical components of your job and “so-so” at translating insights into …
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GM’s Iwao Fusillo on Recruiting Top Talent and Building a Successful Data Literacy Strategy
5 januari 2022 · 51 min
For years, businesses have prioritized academic background and domain expertise when searching for top talent, matching current skills to job reqs with little regard for candidate aptitude. But according to Iwao Fusillo, Chief Data and Analytics Officer at General Motors, this is an outdated strategy. Iwao has led and developed data and analytics teams across multiple verticals, including finance and sports. In his experience, the secret to building successful and diverse teams is assessing passion, too. Lees meer
Fusillo, a data and analytics veteran with prior stops in the NFL and American Express, now leads GM’s program for enterprise-wide analytics and data science. In this episode of the Data Chief, Iwao joins Cindi to discuss how data and analytics are fueling the future of General Motors, advice for structuring and scaling data teams, and how GM’s newly founded data and analytics academy is fostering data literacy across the organization.
Key Takeaways
Presentation is key: As data and analytics professionals, one of the most important skills you can develop is how to speak the language of the business. This means presenting data stories in a business-friendly way so that non-technical stakeholders start to build trust in data programs, not fear or confusion.
The best talent is both skilled and passionate: If you’re only evaluating candidates based on a bulleted list of current skills and past experience, you’re very likely missing out on great talent. Don’t discount a desire to learn and passion for your product or industry.
AI requires a hands-on approach: While AI and machine learning offer many opportunities for improved business operations, they can pose great risk if left unsupervised. Responsible use of these technologies means paying attention to data quality and acting quickly when biases are identified.
Key Quotes
“It's such a unique time to be in the automotive industry because automotive and tech are coming together. As I sit here today, as GM's Chie…
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ServiceNow’s Vijay Kotu on the Power of Micro-Decisions and Aligning Data Strategy to Business Strategy
22 december 2021 · 43 min
Every day we make decisions. Some are as simple as deciding when to leave for work in order to beat traffic or what to eat for breakfast. Others bear much greater importance, such as what new products to launch or what new markets to tackle. Analytics plays an important role in helping your business make these decisions in a smarter, more data-driven way. Lees meer
“The purpose of analytics is to help us make decisions, is to create decision-making capabilities across the company. The next step was to find out what those decisions are that we would need to make? When I say decisions, these are not like once in a quarter, boardroom decisions. I'm talking about everyday decisions that many of our colleagues make every single day.”
Vijay Kotu is the SVP of Data and Analytics for ServiceNow, a company that is helping enterprises manage digital workflows. In this episode of the Data Chief, Vijay discusses how he is building a high-growth “mathematical enterprise” where frontline workers are empowered to make smarter business decisions with data and AI. He also speaks about the impact of ecosystems, the need for businesses to have a holistic view of their data in order to create positive outcomes, and why being intentional about analytics use cases is absolutely essential.
Key Takeaways:
Don’t underestimate the impact of micro-decisions: We all want to be more data-driven, but don’t fall into the trap of thinking that data and analytics can only be applied to once-a-quarter, boardroom-level decisions. Enabling frontline employees to be more data-driven in their everyday work is a hugely powerful way to make a positive impact across your entire business.
Evaluate how data can improve workflows: The holy grail of analytics is converting insights to action. One of the most effective ways to do this is by automating workflows whenever and wherever possible. With automation, you help everyone in the business be more efficient without adding any extra work or manual decision-making…
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The Top Trends in 2022 for Data Leaders from DataRobot, Databricks, and Google
8 december 2021 · 1 uur 13 min
At the end of every year, you’re probably asking the same questions we are. What are the big changes coming next year? How do I stay ahead of them? And what’s separating real trends from the hype? Lees meer
To answer these questions, we are excited to bring together some of the top minds in the industry. In this special episode, we’ll pick their brains and dig into what you need to know to thrive in the year ahead.
You’ll hear from three incredible guests -- all of whom are building and shaping the future of data and analytics:
First, Ben Taylor, the Chief AI Evangelist at DataRobot
Then, the Global Field CTO of Databricks, Chris D’Agostino.
And finally, Bruno Aziza, the Head of Data & Analytics at Google Cloud.
Nothing is off the table. So whether you want to hear about augmented everything, dig into the debate around different cloud platforms, or learn why analytics has become more impactful than ever, this is the episode for you.
Key Takeaways
CDOs must deliver simplicity but contend with complexity: As the data ecosystem continues to introduce new innovation at an ever increasing rate, data leaders must grapple with all these new capabilities. At the same time, however, the rising need for access to this innovation from nontechnical, business professionals means CDOs must simultaneously deliver simple, intuitive experiences that empower the rest of the business
Is the data warehouse on the way out? D’Agostino makes a bold prediction that within 10 years, the traditional data warehouse won’t exist. That begs the question: what will replace it? The lakehouse, data mesh, and data fabric are all contenders, but require organizational changes, not just the introduction of new technologies, as Aziza points out.
Preventing bias within models: A consistent problem in the industry - one that we’ve touched on several times this year - is the potential for machine learning and AI to scale bias in unprecedented ways. As we enter 2022, it will become even more imperative th…
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What To Expect on The Data Chief
1 december 2021 · 2 min
We are back with more episodes! In the coming months, you’ll hear from executives and data leaders from companies like Databricks, Google, General Motors, Etsy, ServiceNow, and more. Our guests cover topics like cloud acceleration, ethical AI, data fluency, scaling data teams, the trends that matter as we enter 2022, and much more! Lees meer
You won’t want to miss these upcoming episodes, so be sure to subscribe to The Data Chief on Apple Podcasts or wherever you get your podcasts. Plus, you can dive deeper into these subjects at thedatachief.com where we host live events, share industry articles, and you can join a private slack community of like-minded Data Chief listeners.
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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Four Must Read Books for Data and Analytics Leaders with Randy Bean, John Thompson, Cole Nussbaumer Knaflic, and Doug Laney
25 augustus 2021 · 1 uur 12 min
As we wrap up Season 2 of the Data Chief Podcast, It’s time to once again thank all of our listeners for tuning in and sending Cindi your ideas, and to all of our awesome guests who willingly shared their time and insights along the way. Lees meer
This season The Data Chief shared stories such as Sol Rashidi, CAO Estèe Lauder Companies, about how she starts every day by reading for an hour. Or from Season one, Alberto Rey Villaverdo, Executive Director of Advanced Analytics at VirginMedia, about how he reads an hour or more every single day. It’s those stories that have inspired this special end-of-season episode.
In this podcast, Cindi is joined by four distinct authors with must-read books, two new that are new to bookshelves, and two that are time-tested. Be sure to check out the companion blog on thedatachief.com for other books Cindi recommends as well.
In this episode you’ll hear from
Randy Bean, author of Fail Fast, Learn Faster.
John Thompson on Building Analytics Teams
Cole Knussbaumer Knaflic on Storytelling with Data
Doug Laney on Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage
Key Takeaways
From Randy Bean, Developing a data culture is an ongoing process: Becoming data-driven or developing a data culture is not a destination, it's an ongoing process that never truly ends. In fact, the most sophisticated data companies are often the most worried about how they’re doing. This mindset of continued iteration and improvement is what fuels innovation. When you feel like you have it all figured out, think again.
From John Thompson, When building an analytics team, hybrid models deliver the best of both worlds: Although more complex than other organizational models, hybrid data teams allow you to meet the needs of your business in a faster, more scalable, and more effective way. How? At any given time, high-volume data professionals will be focused on repetitive tasks like data acquisition, data integration, fe…
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Investec’s Daniel Seymore on Change Management, Business Agility, and Developing Domain Expertise
11 augustus 2021 · 48 min
Is the role of a data scientist still a “sexy job” or has it lost a bit of its luster? And what’s more important for successful data leaders, deep data knowledge or business savvy? Lees meer
Daniel Seymore is the Head of Business Intelligence for Investec, a bank that is delivering out of the ordinary insights in the world of finance to help its customers create and manage wealth. One of Daniel’s career-guiding principles is to question the conventional, and on this episode of The Data Chief, he sheds light on some of these questions and shares how he is continuing to live by this principle to help Investec modernize its data capabilities.
Daniel and Cindi also discuss why the only constant in life is change, which means businesses must place a larger emphasis on upskilling workforces. Lastly, the two dive into why domain expertise might be the most important skill for any data leader.
Main Takeaways
Domain expertise matters: The hardest pivot for most technical professionals is moving away from day-to-day technical capabilities and into a leadership role. Data science is an important part of any company’s toolkit, but great leaders should understand the problems they’re solving on a business level and be able to relay it back in a way everyone can understand.
Fail quickly to learn and adapt: With any project, it’s good to have a plan but it’s also important to embrace the idea of failure. The faster you fail, the sooner you can learn and adapt your processes to succeed.
Change management is about partnerships: Gone are the days when employees sit back and take every direction from their boss at face value. Successful change managers recognize the individual value each employee can add to a project. They treat it as a partnership. And this is benefiting not just immediate teams, but the business as a whole.
About Daniel
Daniel Seymore joined Investec in 2016 and soon after got appointed to lead the Private Bank Business Intelligence team. Prior to Investec, Daniel wo…
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Mastercard’s JoAnn Stonier on Responsible AI and Applying Human-Centric Design Principles to Data Problems
28 juli 2021 · 50 min
JoAnn Stonier loves her role. After all, when you’re the Chief Data Officer for Mastercard, the opportunities to create real change are plentiful. But Stonier knows her work is about more than just data privacy and governance, it’s about aligning the company’s data strategy to business goals and impacting the organization in a positive way. And of course, making sure that all 725 million of Mastercard’s credit card holders are protected. Lees meer
With a career rooted in privacy, a degree in law, and a background in interior design, Stonier is not just a well-rounded CDO, she’s a visionary. On this episode of The Data Chief, JoAnn joins Cindi for an inside look at data’s impact on people, data ethics, and the importance of building trustworthy models.
Main Takeaways
The CDO is an enabler of the business: In Joann’s own words, “the role of the CDO is to engage the business in tomorrow’s business.” This means CDOs must consistently be aligned with the company's goals, and develop capabilities that lay track for future innovation. Great data governance, data management, and data quality are table stakes. The CDO must also have a sense for where the market is going and how the business can carve out new space for itself to deliver value to customers.
Data is about people: As a data leader, it’s easy to get caught up in the novelty and opportunity of innovation. But data is more than an anonymized collection of 0s and 1s, it’s about people and the tremendous impact it can have on their lives. As products and services are developed, it’s important to apply individually-centric design principles and evaluate how you might be affecting someone, for better or worse, on the other side.
Responsible AI starts with trustworthy data: Simply put, data is food for AI. In order to build ethical or responsible AI and machine learning algorithms, there must be improvement in data trust and quality. Oftentimes these algorithms are missing integral data points that neglect particular demogr…
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Estée Lauder’s Sol Rashidi on Treating Data as a Product, Turning Failures into Success, and the Unique Position of the CDO
14 juli 2021 · 46 min
Every data professional will gladly discuss their big wins — but what about their big losses? How have career hiccups molded them into the leaders they are today and put them on a path to transform entire industries? Lees meer
Sol Rashidi is the Chief Analytics Officer at the Estée Lauder Company. Throughout her personal and professional life, Sol has used moments of uncertainty as opportunities for growth. Today she is recognized as one of the top 50 most powerful women in tech. On this episode of The Data Chief, Sol joins Cindi for a candid conversation about how she uses challenging circumstances as fuel for further innovation, and how she turns failures into valuable learning moments. Sol also takes a deep dive into the unique position of the CDO as both a business and a tech partner, why data as a service for internal stakeholders is just as important as when designing consumer-facing data products, and why knowing your shelf life is one of the most valuable professional skills you can have.
Main Takeaways
Competition breeds innovation: When it comes to fostering innovation, having the right talent and a propensity for technology are both critical to success. But so is a healthy amount of competition. When your margins are locked, there’s no sense of urgency and it’s easy to slide into a state of complacency. On the other hand, industries with more competition tend to see higher levels of innovation because teams are motivated to push the envelope.
Data as a service for internal stakeholders: External facing data apps and operationalizing machine learning are great for data monetization, but applying a product mindset is a key tool for internal stakeholders as well. The reality is enterprises are hungry for insights and it’s important to develop tools with these constituents in mind. Data and insights must come to life for the organization so it can be used by anyone within the organization.
The scope of tech is always changing: Every new piece of technology is goi…
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Pilot Flying J’s Ameet Shetty on Cloud Data Infrastructure, Governance, Analytics Talent
30 juni 2021 · 31 min
Data governance. It’s a “dirty word” in business often associated with being told “no,” but from the perspective of the CDO it’s a crucial part of managing data quality and trust. How are employees being held accountable? Do people have the right access to insights? And is your own business’ data infrastructure and governance policies fostering innovation or stifling it? Lees meer
Ameet Shetty is Chief Data and Analytics Officer at Pilot Flying J, a company that serves more than 1.3 million consumers daily while operating more than 750 locations stateside. On this episode of The Data Chief, Ameet joins Cindi for a conversation on data governance and how to organize your analytics team. Ameet explains why governance gets a bad rap while also touching on the importance of balancing accountability with innovation, having the right technology foundation in place, and the most successful CDOs are natural connectors.
Main Takeaways
Lean on data as a driver for customer insights and intimacy: Data is key to creating unique personalized touchpoints for your customers. By allowing customers to willingly provide information across all the business touchpoints, this creates a chance to drive insights and move the organizations forward. Companies can use this information to create a stickier connection with the user by providing more personalized experiences in-store or across its apps, but this also gives the business a chance to enhance every touch point and provide a consistent user experience.
Building a holistic team pushes you forward: A single individual cannot pull the boat forward, but a team rowing together can get the boat to where it needs to go. When building teams, make sure you are taking a holistic approach and bringing in members from different fields of expertise and backgrounds to close the gap in areas where you are not as strong
Over-governing stifles innovation: The term governance is a dirty word for a lot of enterprises, but it’s more important to think abou…
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Credit Karma’s Ryan Graciano on Data Marts, Data Models, and Disrupting the Credit Landscape
16 juni 2021 · 40 min
No journey to the cloud is the same. While some will encounter similar obstacles, each journey has its own unique challenges. But what happens when a company born in the midst of a crisis and changing technology, has to innovate just as fast as the changing landscape to keep up? Lees meer
Ryan Graciano is the co-founder and CTO of Credit Karma, a company that is aligning technology and data to help bring transparency to the credit lending process. On this episode of The Data Chief, Ryan explains how Credit Karma survived early struggles such as the financial crisis of 2008. Ryan also touches on how Credit Karma navigated it’s journey to the cloud, stepping away from the comfort of on-premises data centers to the elasticity of the cloud, and the importance of grooming outside data sources to keep insights consistent. That and more on today’s episode with Ryan Graciano.
Main Takeaways
Explainable algorithms drive success: As third party datasets become more readily available, there is an evolving need for data professionals to understand where that data is coming from and how it will affect your models. While these datasets can make it easier for models to be spun up quickly, you must be able to account for how and why those algorithms are generating particular answers.
Clean data leads to reliable answers: Data analysts must spend time making sure the data they are using is not only clean, but reliable. When an analyst uses dirty or untrustworthy data, algorithms will have a tendency to run in an undefined manner, which will lead to high variance in answer quality and consistency.
Keep data fluency a priority: Even for organizations that believe they are data literate, the process of understanding data at an organizational level is an ongoing one. A best practice for maintaining data literacy is to create a standardized set of how data is recorded and reported internally. When practices like this are standardized, organizations can avoid issues like data bias.
About Rya…
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First Command’s Darren Pedroza on Being a Data Activist and Leading your Company Through Digital Transformation
2 juni 2021 · 51 min
The role of the Chief Data Officer is an evolving one. Today, data professionals are expected to be champions for their business – aligning data goals with business values – while also leading their company’s digital transformation. It’s a position best suited for visionaries, advocates, and change agents. Lees meer
Darren Pedroza is the Vice President of Enterprise Data and Analytics at First Command Financial Services, with a mission of helping military families reach their financial goals. In addition to being a data and analytics savant, a major part of his success in this role is his acute understanding of how to transform a data strategy to keep pace with changing times and business needs.
On this episode of The Data Chief, Darren explains how First Command transformed its data and cloud strategy to be more flexible, agile, and democratized. Darren also touches on a host of topics, including Databricks, what routinely leads to bad data, and leadership best practices.
Main Takeaways
Future-proof your cloud strategy: Your cloud data strategy shouldn’t end at scale. Focus on flexibility, agility, and democratization by adopting as many cloud-native tools as needed and consistently upskilling non-technical business users. Additionally, you want to be intentional about your build vs. buy strategies and make sure the vendors you partner with become allies.
Remember that good data doesn’t just happen: All data has a lifecycle, but there are two unique challenges that plague companies when it comes to their data collection: silos and poor user experiences. The best data collection applications are the ones that have a simple workflow, and a clear and pleasant user experience.
Align your team to your tech stack: When going through digital transformation it’s important to make sure that not only are you partnering with vendors that can integrate across multiple platforms, but also compliment the skillset of your team at hand.
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The Data Chief is presented by our friends…
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Kraft Heinz’s Serena Huang on Retaining Top Talent with People Analytics
19 mei 2021 · 42 min
In the age of data-driven decision making, an adage still bears true: People are a company's most valuable asset. No matter how technologically advanced and forward thinking your company is, it cannot operate without the individuals that make the organization go. So how are companies using data and analytics to not only make better decisions at the company level, but also improve the employee experience? And how are data and analytics predicting trends for the future of work that includes employee well-being and greater inclusivity? Lees meer
Serena Huang is the Global Head of People Analytics at the Kraft Heinz Company. On this episode of The Data Chief she shares insights into her work and why companies are turning to this important function to design more thoughtful employee experiences. Enjoy!
Main Takeaways
Start with the problem, not the data: When solving a problem, don’t start with your data. Instead, understand what solution you are trying to solve for and then design your experiments around that problem. Once that’s in place, you can start gathering directional data that will lead to a solution.
Share your progress and momentum: Transparency is key, so when you are conducting your analysis make sure the data you are collecting from employees not only benefits the company, but also the employee itself. If your employee feels as if the line of questioning does not benefit them, they are less likely to participate. Your data gathering process must be a two-way street that shows results both for the employees and the company.
Create value beyond the obvious: Data and analytics should always be on the lookout for new ways to bring value to the business. For Kraft Heinz, this meant measuring different scenarios such as exit interviews, engagement surveys, and understanding why employees left, to create a more holistic view of the employee experience.
About Serena
Dr. Serena Huang is currently the Global Head of People Analytics at the Kraft Heinz Company. Serena i…
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OpenTable’s Grant Parsamyan on How Data and Analytics is Helping the Restaurant Industry Rebound from COVID-19
5 mei 2021 · 47 min
The restaurant industry has been one of the hardest hit industries over the last year. Amid countless closures and reopenings, restaurants have overcome many obstacles in an effort to survive. Through these struggles, restaurant professionals have turned to data to optimize everything from takeout orders to new layouts, all the way to analyzing market recovery. Lees meer
Grant Parsamyan is the Senior Vice President for Data and Analytics at OpenTable, an online restaurant reservation service that is empowering restaurants of all sizes to operate more efficiently through the use of technology.
On this episode of The Data Chief, Grant dives into OpenTable’s State of the Industry site, designed to illustrate how COVID-19 has impacted restaurants through powerful data storytelling. Grant and Cindi also discuss the importance of data literacy, and picking the right analytics tools to match business use cases. Enjoy!
Main Takeaways
Measuring success and proving value: Measuring success or measuring value from data and analytics is a difficult proposition. A recent study suggests less than 14% of businesses go back to do an ROI study, so it’s incumbent on data professionals to continuously be capturing anecdotes of the businesses benefits to prove value over time. A best practice for measuring value is to set a baseline and make sure that you pick the right tool to advance your use case and then measure that baseline to provide the value of those investments to gain the credibility to advance your analytics.
Decline of the dashboard: The role of data professionals is becoming less about developing dashboards and more about creating tools that empower users to answer their own questions. Because data flows at such a quick pace, predetermined views and dashboards are often outdated as soon as they’re created.
Data sharing leads to quicker results: Data sharing is enabling customers to monetize data without the messiness of manual file transfers. By being able to share data from…
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Daily Harvest’s Brad Klingenberg on How Data-Driven Personalization is Driving Food Creation
21 april 2021 · 40 min
Data and the power it wields has made its way into every industry over the last decade. From entertainment to real estate, all the way to the fashion industry, companies leading their industries are using data to create uniquely personalized digital experiences. Lees meer
Brad Klingenberg is the Chief Algorithms Officer at Daily Harvest, the direct-to-consumer brand that helps stock your home with fresh, plant-based foods. Brad leads the data team and is charged with using data and algorithms to create meals Daily Harvest customers will enjoy and keep coming back for.
On this episode of The Data Chief, Brad and Cindi discuss the importance of aligning your customers’ wants with business value to create unique experiences, and how to go about sourcing data to get the desired outcomes. Brad also dives into his previous work at Stitch Fix, and provides insights on how to scale data teams and foster a data culture. Enjoy!
Main Takeaways
The personalization promise to customers: Customers aren’t giving you their data for free. They’re doing it so your business can get to know them in ways that make sense, and to use that information to create more personalized experiences for them. When the customer trusts what you’re going to use their information for, you have an opportunity - and obligation - to create a unique experience that is both beneficial for the customer and the business.
Tools to solve data bias: It’s quite easy for biases to be introduced into your algorithms through the data that is used. While there is an emerging set of tools to help diagnose and evaluate data bias, it’s a hard problem to solve, and one that requires getting to the root - the data itself. Everything starts with the data you have. Data teams need to put an emphasis on the diversity in their data to recognize gaps and biases.
Building a data-driven culture: Never before has it been more important for companies to champion a data-driven culture. Leaders need to lead by example in this shift. At…
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Opendoor’s Ian Wong on Disrupting the Real Estate Industry with Data-Driven Digital Transformation
7 april 2021 · 38 min
“Garbage in, garbage out.” It’s a philosophy every data leader is familiar with. Your algorithms and models are only as good as the data you put in them -- so how do you ensure the data you are leveraging is reliable and trustworthy? Lees meer
Joining Cindi today is Opendoor Co-founder and CTO, Ian Wong. Opendoor is on a mission to remove the guesswork from homebuying, and in this episode, Ian details how the company’s algorithms provide future homebuyers peace of mind about getting the best possible offer for their home. Ian explains how the team harnesses multiple data sources and uses machine learning to maintain a competitive advantage. Plus, Ian and Cindi discuss how to turn those valuable data insights into measurable business results.
All that and more on today’s episode with Opendoor’s Ian Wong.
Main Takeaways
Trust in the numbers: All great algorithms start with great data, but having a high fidelity of data is one of the key differentiators for any high-performing model. When you’re mixing first-party data with third-party data, be intentional about how you create strategic data models that fit your business.
Data scientists need to hone business skills: As a data professional, it’s not enough to have a breadth of technical skills, coding, algorithms, statistics, and mathematics -- you must also have a firm grasp of business needs with solid communication skills. Remember: your research is not helpful if it does not meet the immediate needs of the business. Being able to find that balance is an integral skill for any young data scientist looking to break into the field.
Fail fast and experiment: When it comes to machine learning, there's a lot of opportunity for failure. Launching a prototype quickly and iterating as you go is the name of the game. It shouldn’t take a quarter to make and deploy a new algorithm. The more time between inception and deployment, the less likely you will be able to use the insights gathered. Stay agile, move quickly, and follow th…
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ThoughtSpot’s Ajeet Singh on Designing Disruption for Analytics
10 maart 2021 · 48 min
Ajeet Singh is a risk taker. There’s no other way to describe someone who's done the things he has and accomplished so much in such a short amount of time. An immigrant, entrepreneur, and and most importantly a disruptor, Singh has constructed two multi-billion dollar entities from the ground up. Throughout his journey, he’s been guided by two principles: his out-of-the-box thinking and curiosity about how he can improve people’s lives. Lees meer
As a young entrepreneur working in Silicon Valley during the big data days, Singh noticed the data and analytics space was ripe for disruption. So he did something about it. First with Nutranix and now with ThoughtSpot, where he's working to solve some of the world's biggest problems by democratizing data for all. On this episode of The Data Chief, Singh, Co-founder and Executive Chairman at ThoughtSpot, dives into some of the biggest challenges facing CDOs in 2021, why organizations must empower their leadership teams to drive meaningful change, and how big tech can be utilized for good moving forward.
Main Takeaways:
- The cloud is here to stay: Large enterprises are increasingly moving their data to the cloud. The challenge now for CEOs and CDOs is not “if” they will adopt cloud but “when,” and how quickly they can get there while maintaining their current momentum.
- Empower your leaders to drive change: It’s easy to create new C-level positions, but real innovation and transformation starts with empowering your leadership with the required mandates and resources to empower their teams.
- Build your culture with intention: Every organization inherently has a culture and you must be deliberate about how you build that culture. Every department should reflect your core principles and create a space for individuals and teams to thrive.
About Ajeet
Ajeet Singh is the co-founder and Executive Chairman at ThoughtSpot, a company revolutionizing analytics with search and AI. Driven by his passion for creation, Ajeet has built two…
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ThoughtSpot’s Cindi Howson on Chief Data Officer Success Strategies
24 februari 2021 · 38 min
Much like a roller coaster, 2020 was full of many loops, twists, and turns. From accelerated digital transformations to expedited migrations to the cloud, you were asked to do it all— often with far less time and resources. Through it all, The Data Chief was right there with you, along for the unprecedented ride. Lees meer
From the beginning this podcast had a vision: To bring you learnings and best practices from the brightest minds in our industry to help you all become better data stewards. On this episode of The Data Chief, we look back at some of the key themes from season one, including the rise of the CDO, the intricacies of aligning your department’s goals with that of the businesses, and how you coped with accelerated timelines. While we relive these important conversations, we also discuss why culture and data fluency continue to be the biggest hurdles to becoming a truly data-driven business.
Main Takeaways
The Rise of the Data Chief: The role of the CDO now goes beyond getting your data house in order. You must become a true analytics leader and business partner by developing a deep understanding of how to properly build a team and nurture strategic partnerships.
Aligning with Your Business Values: Data is the lifeline of every organization but in order to achieve buy-in from your stakeholders, your data and analytic investments have to be aligned with the goals of your company. This means asking what projects are right for your team to pursue and which ones make the most sense for the overall direction of the organization.
Rapid Technical Innovation and the Shift to Cloud: How we store and manage our data is changing rapidly. Many companies are moving their data to the cloud and their vendors are often the ones helping drive this change.
Technology Reflects Culture: Technology and culture are two sides of the same coin. A culture of fear, protecting the status quo, and settling for “good enough” often engenders legacy tech saddled by inefficient processes.…
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Princeton University's Ruja Benjamin on Bias in Data and A.I.
3 februari 2021 · 40 min
Joining Cindi today is Ruha Benjamin, a professor of African American Studies at Princeton University and the founding director of the IDA B. WELLS Just Data Lab. She has studied the social dimensions of science, technology, and medicine for over 15 years and speaks widely on issues of innovation, equity, health, and justice in the U.S. and globally. Ruha is the author of Race After Technology: Abolitionist Tools for the New Jim Code and People's Science: Bodies and Rights on the Stem Cell Frontier, and the editor of Captivating Technology: Race, Carceral Technoscience, and Liberatory Imagination in Everyday Life. Lees meer
In this episode, Ruha and Cindi discuss how flawed data can have disastrous, real-world consequences for women and people of color. Ruha also describes a multidisciplinary approach to recognizing and refurbishing the processes for gathering and governing data.
Key Takeaways:
The least apparent bias is often the most dangerous. We can't prevent the consequences of bias or even take it seriously if we're not aware of it — or worse, choose to ignore its less obvious manifestations.
Widen the lens and don't settle for 'happy talk.' Diversity is not the status quo for most organizations, therefore it should make us uncomfortable. If it’s not, it may be a sign that you’re stopping the conversation short.
Focus on building the right team before you start building AI systems. Diversity needs to start from the groundwork that happens before the foundation is poured.
"Big me up." Surround yourself with role models and people who build you up rather than tear you down — and be a support system for them as well.
More About Ruha:
Ruha Benjamin is a professor of African American Studies at Princeton University and the founding director of the IDA B. WELLS Just Data Lab. She has studied the social dimensions of science, technology, and medicine for over fifteen years and speaks widely on issues of innovation, equity, health, and justice in the U.S. and globally.…
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Verizon's Radha Sankaran on Personalizing Customer Experiences and Improving Frontline Decision-Making with Data
20 januari 2021 · 49 min
Joining Cindi today is Radha Sankaran, the Executive Director of Advanced Analytics/AI and ML at Verizon. Radha is a technology executive with more than 24 years of hands-on leadership experience with a proven track record in fast-paced and quality-driven product delivery. She has led and managed high-performance teams in the telecom and wireless industry for 4G LTE, IoT, and 5G technologies. Lees meer
Today, Radha and Cindi discuss the benefits of personalizing customer experience - including why personalization is Verizon's number one priority moving forward. Radha also shares her strategies for empowering frontline decision makers with data in a way that helps rather than overwhelms, how to protect customers’ privacy while putting their data to best use, and what women in tech aspiring to excel in this field should know to succeed and break the glass ceiling.
Key Takeaways:
Get personal. Leverage data to view your customer’s journey from their perspective. Whether it’s email, SMS, chatbots, in store visits, or interacting with a call center, tie cross-channel experiences together seamlessly to create a positive and personalized experience.
But not too personal. Protecting customers’ data is at the core of everything Verizon does. When building personalized journeys, you have to find the balance between providing a valuable experience for your customer, while not overstepping their privacy in a way that feels invasive.
Empowering frontline employees with data. Compiling and sharing every data point with your team is not helpful. Rather than overwhelming frontline decision makers with mountains of data, distill need-to-know data in a way that’s easy to consume. For Radha, this means equipping her team with only the data needed to determine the next best actions (NBX) for serving customers.
Advice for girls and women in tech. “To all of those women and girls out there wanting to get into STEM, be bold. Don't let anything hold you back."
More About Radha:
Radha Sankar…
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Donald Farmer, Wayne Eckerson, and Tom Davenport on Data and Analytics Trends to Watch in 2021
13 januari 2021 · 58 min
This week we have a very special episode featuring insights from three data and analytics leaders on what to expect in 2021. You’ll hear from: Lees meer
Donald Farmer, a principal at TreeHive Strategy
Wayne Eckerson, the Founder and Principal Consultant at Eckerson Group
Tom Davenport, Distinguished Professor of Information Technology and Management at Babson College
They discuss everything from how to remain relevant in the rapidly evolving data and analytics industry, what technologies will have the biggest impact on our lives, and what the future of the workplace will look like and what those changes mean for your business. Enjoy the lightning rounds on Super Bowl predictions, snow, and best books to read!
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
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For full show notes and more, go to thedatachief.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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Citigroup's Chris Powers on Data Literacy
6 januari 2021 · 58 min
Joining Cindi today is Chris Powers, Senior Vice President and Global Product Manager of Business Data Analytics & Digital Innovations at Citigroup. Lees meer
On this episode, Chris and Cindi discuss data literacy as a thought process that is nurtured by a good old-fashioned willingness to take things apart and put them back together again, what common data sense is and how it can be taught to people without shaming them, and why "the five whys" are an invaluable technique for solving almost any problem.
They also examine the real -- and counterintuitive -- purpose of self-service analytics. Plus, Cindi and Chris explain why data's role as the new oil is only as good as knowing what engine can use it.
Key Takeaways:
If data is the new oil, you need to make sure it gets to the engine that can use it. Data, like oil, doesn't do anything on its own. In order for it to be of use, you need to have processes in place to contextualize that data and ensure it gets to the right experts and business decision-makers.
Business users often know what they want, but not how to reach it. Your job is to connect the dots between them and their goal, while challenging false assumptions that obscure the path to that goal. For this (and many other problems you'll encounter), the five whys can prove to be an indispensable technique.
The success of self-service analytics relies on data literacy. The "sink or swim" strategy will only drown prospective users faced with an overwhelming ocean of data they don't know how to process. The good news: anyone can learn the basics if they just start small.
Data literacy is a thought process, not a formula. Cultivate an inquisitive mind that seeks to understand how pieces fit together to make a functional whole. It will serve you and business users better than pointing to a graph that tells you something you both already know.
More About Chris:
Chris Powers has been at Citigroup for the last 24 years. In his current role working with client experienc…
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Nationwide's Jim Tyo on Data Governance Best Practices
2 december 2020 · 54 min
Joining Cindi today is Jim Tyo, CDO at investment management firm Invesco, and the former CDO at Nationwide, where he was responsible for overall strategic vision, planning, execution, and management of all activities related to the operation of the Enterprise Data Office (EDO). Lees meer
On this episode, Jim and Cindi discuss best practices and the evolution of data governance and information quality over the past decade, taking the 'digital twin' approach from the world of manufacturing and applying it to the world of data, the ethical nuances of navigating privacy laws and nontraditional inputs for complete datasets without introducing undue biases, advice for people aspiring to pursue a career in data, and much more.
Key Takeaways:
Strategies Jim has leveraged to properly balance data governance and information quality (for which his team has won awards), and how the conversation around data governance has changed during his decade in the field.
How the concept of the digital twin transitioned from the world of manufacturing to the world of data, and how organizations can use it to get an even more complete picture of their organization.
How Nationwide created an internal data marketplace for people to more easily find all the data available within the company.
The ethical considerations of navigating privacy laws and using nontraditional data inputs like fitness wearable devices and social media to ensure fair coverage without bias.
Why good teamwork is critical in analytics, a world where nobody knows everything.
About Jim
Jim Tyo is CDO at investment management firm Invesco, and the former CDO at Nationwide, where he was responsible for overall strategic vision, planning, execution, and management of all activities related to the operation of the Enterprise Data Office (EDO).
With more than a decade under his belt as a senior executive in the data field, Jim has envisioned, championed, and built data analytics organizations, processes, and technologies from …
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Federal Government's Suzette Kent on Federal Data Strategy and IT Modernization
11 november 2020 · 57 min
Joining Cindi today is Suzette Kent, the former US Federal Chief Information Officer. Suzette joined the Federal Government in 2018 from the financial services industry with two key goals: drive IT modernization and overcome the challenges in federal IT budgeting and funding alignment. Lees meer
On this episode, Suzette and Cindi discuss the creative friction between the public and private sector, the pros and cons of how the public and private sectors operate and what they can gain by collaborating with one another, and the challenges of avoiding minutiae and focusing on the big picture when working with massive datasets. Plus, Suzette shares the origin story of the federal data strategy and how she hopes it can be used to solve the problems we face today.
Key Takeaways & Discussion Points:
Creative friction happens when private and public sectors collaborate and each side benefits from the experience.
You can't drive change only from a technology side; people need to be involved in the process, and this requires adaptation to the pace necessary for the task at hand.
Why striking a balance between indexing details and focusing on outcomes can be particularly challenging when you're dealing with the overwhelming number of datasets available to the public sector, the laws that govern their use, and the sometimes conflicting purposes of multiple agencies within that structure.
How the federal data strategy came about, what it strives to accomplish, what private sector CDOs can learn about it at strategy.data.gov, and how they can utilize the resources available at resources.data.gov.
The outcome-driven approach to getting students truly interested in pursuing careers in data.
More About Suzette:
Suzette Kent served from 2018 to 2020 as US Federal Chief Information Officer, spearheading a wide range of technology and workforce initiatives. Her tenure was devoted to setting governmentwide standards while also giving agencies the freedom to tailor efforts in mission-appr…
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Ensemble Health Partners' Jon Osborn and Snowflake's Todd Crosslin on Cloud Innovation in Healthcare
28 oktober 2020 · 52 min
Joining Cindi today are two guests: Jon Osborn, Software Technology Executive and former SVP, Chief Technical and Data Officer at Ensemble Health Partners, and Todd Crosslin, the Global Head of Healthcare and Life Sciences at Snowflake. Lees meer
On this episode, Jon, Todd, and Cindi discuss how people in the healthcare chain of command can collaborate with one another more freely than ever before thanks to cloud innovations that make sensitive data safely and instantly available to all parties, why the countless benefits of moving to the cloud far outweigh the seemingly hefty upfront price tag (provided you adapt your strategy to fit your budget), and how a data chief can build a case to make these points evident to the stakeholders and higher-ups responsible for paying the bills.
Key Takeaways:
Experiment with internal and external stakeholders. The level of collaboration between people involved in the chain of providing healthcare is enhanced by the cloud in ways that have only recently become possible.
Choose based on value. The price tag for moving to the cloud is real, but the benefits are too substantial to pass up - and there are hacks to adapt your strategy to align with your budget.
Be brave. The ROI for innovation pays back with interest, but you need the courage to make a case for all your various stakeholders.
More About Jon:
Jon Osborn is a Software Technology Executive and the former SVP, Chief Technical and Data Officer at Ensemble Health Partners, with a proven ability at the executive level to build technical organizations, direct and manage technical projects and architecture, manage agile software development teams, and work with business owners to deliver value and modernize technology.
More About Todd:
Todd Crosslin is the Global Head of Healthcare and Life Sciences at Snowflake, with a history of success in start-up and high-growth/complex environments. He specializes in strategic business planning, agile lifecycle management, liaison and medi…
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Medibanks' Craig Rowlands on Saving Lives with Data Literacy
14 oktober 2020 · 1 uur
Today's guest is Craig Rowlands, the General Manager of Medibank. Craig is an ambitious leader with a proven track record for delivering major projects including data management, production, and business intelligence solutions. Lees meer
On this episode, Craig and Cindi discuss the life- and cost-saving benefits of leveraging data to improve decision making in healthcare, how moving from financial services to healthcare has given Craig a more holistic view of what's possible with data, why an individual should never stop learning and broadening their skills at any age, and establishing beneficial relationships with vendors that make you partners in each others' success.
Key Takeaways:
There's nothing like a life-changing event to demonstrate how data from the patient's perspective can be used. Craig demonstrated how he was able to research options for his own heart bypass surgery informed by the available data.
Always broaden your skills. In Craig's case, this has meant moving across industries -- from banking to the medical field -- to maximize his knowledge of what's being done versus what can be done with data.
Establish a two-way partnership with vendors. Ensure they understand the value of being a partner invested in the welfare of both sides rather than merely filling the traditional, transactional vendor role, and that you're invested in keeping that relationship ongoing as well.
Have a clear strategy when starting a new role. Look at the outcomes that you want and make sure that they align with your business goals.
More About Craig:
Craig Rowlands is the General Manager of Medibank. He is an ambitious leader with a proven track record for delivering major projects and managing data management, production, and business intelligence solutions, enabling optimal performance via leading-edge warehousing infrastructure, improved functionality, and best in class data quality controls and checks.
Leading a large, multi-site team that constantly exceeds business expe…
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Bernard Marr on A.I. Strategy and Change Management
30 september 2020 · 57 min
Joining Cindi today is Bernard Marr, internationally bestselling author, futurist, and keynote speaker. He advises and coaches many of the world’s best-known organizations and was voted by LinkedIn as one of the top five business influencers in the world and the number-one influencer in the UK. Lees meer
On this episode, Bernard and Cindi discuss why businesses should treat AI as a focused strategy rather than a resource-draining experiment, five ways to determine how to implement AI as a strategy that addresses the needs of your business, and overcoming a company culture's resistance to change. They also talk about how to ensure that AI augments rather than replaces humans and what it means to nowcast versus forecast in a post-pandemic world.
Key Takeaways:
Use AI as a strategy, not an experiment. AI should be applied strategically to the needs of your business, not treated as an experiment. Here, Bernard presents five lenses that will help you determine how AI can be focused appropriately.
Don't reinvent the wheel. Chances are pretty good there's an existing AI tool -- from Salesforce, Oracle, Amazon, Microsoft, IBM, etc. -- that will suit the needs of your company without having to invest the time, energy, and money to start from scratch.
Overcoming a company culture's resistance to change. What it takes to get the top levels of your organization aware of what AI is capable of doing for the business, and communicating to all levels that it's a tool for augmenting -- not replacing -- human staff.
More About Bernard:
Bernard Marr is a futurist, big data expert, storyteller, visionary, keynote speaker, and strategic business and technology advisor to companies and governments. He advises and coaches many of the world’s best-known organizations, helping them improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has …
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Vertafore's Chad Hawkinson on Cloud Data Security and Streamlining Workflows
16 september 2020 · 54 min
Joining Cindi today is Chad Hawkinson, the Chief Product and Data Officer at Vertafore, the leader in creating modern insurance technology. A seasoned data and analytics guru, Chad has seen first-hand the profound impact data-driven insights can have on customers’ success. Lees meer
On this episode, Chad and Cindi discuss how the cloud makes it safer to use sensitive data, when it was long-feared it might do just the opposite. They cover everything from alleviating client concerns about the use of this data and securing this data from cyberattacks, to the value of streamlining data collection into everyday workflows rather than making it an additional headache for the client to manage. Plus, Chad shares the three components responsible for the 38 percent failure rate of analytics investments in insurance and what can be done to fix them.
Key Discussion Points:
The cloud gives us more power over our data, not less. Qualified availability unlocks a level of control over that data that would be impossible on a purely local level.
Having a clear direction where data can be brought to bear. The three problems most responsible for a high failure rate in analytics investment and how to solve them.
The value of insights in context. Data is most useful when streamlined into the everyday workflow rather than existing as a number of separate processes that bring that workflow to a grinding halt.
More About Chad:
Chad Hawkinson is the Chief Product and Data Officer at Vertafore, the leader in creating modern insurance technology. A seasoned data and analytics guru, Chad has seen first-hand the profound impact data-driven insights can have on customers’ success. He brings deep experience with AI and ML technologies in the energy, aerospace, defense, automotive, and construction industries to help agencies and carriers discover new opportunities to drive dramatic business growth by leveraging insights previously hidden deep within their data.
Prior to Vertafore, Chad spent seven y…
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San Francisco County's Jason Lally on Clarity and Better Serving People with Data (pt. 1)
4 september 2020 · 28 min
This is Part 2 of our interview with Jason Lally, the Chief Data Officer for the City and County of San Francisco. Lees meer
[Listen to Part 1 here.]
In Part 1, Cindi and Jason talked about the kindness of data clarity and the power of a declarative mission statement. In this episode, Jason discusses making the government's data work for the people it serves, the key gateway to better communication, and how to turn problems into opportunities.
Key Takeaways:
Improving communication. Part of becoming a better communicator is just listening to what people don't understand and then figuring out a different way to explain it. And if you're trying to turn problems into opportunities, communicating one on one or in smaller groups allows everyone present to contribute to solving the problem which builds trust between them for the success of future efforts.
Making data work for the people: Government data has the power to transform the services citizens experience, and can improve numerous facets of the lives of citizens.
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
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For full show notes and more, go to thedatachief.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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San Francisco County's Jason Lally on Clarity and Better Serving People with Data (pt. 1)
2 september 2020 · 24 min
Joining Cindi today is Jason Lally, the Chief Data Officer for the City and County of San Francisco. On this episode, Jason and Cindi discuss the kindness of data clarity, why open data is just the tip of the iceberg, and the power of a declarative mission statement. Plus, they dive into Jason’s 10+ years of experience and unique career trajectory that brought him to his current role. Lees meer
This is Part 1 of our interview with Jason Lally. Stay tuned for Part 2 (releasing on Friday) where Jason discusses making the government's data work for the people it serves, the key gateway to better communication, and how to turn problems into opportunities.
Key Takeaways:
As Brené Brown would say: clarity is kindness. A declarative mission statement outlining your department's intentions can act as a powerful liaison between the work you're doing and the people you're serving.
Open data is really just the tip of the iceberg. This is what people in the outside world see; what they don't see is all the work that goes on underneath that data -- all the internal collaboration, getting the stakeholders on the same page, and the massive range of data sources that make it all possible.
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To be notified when Part 2 of this interview is available, be sure to subscribe in your podcast player.
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
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For full show notes and more, go to thedatachief.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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Alight Analytics' Michelle Jacobs on Data-Driven Marketing and Respecting Customer Privacy (pt. 2)
19 augustus 2020 · 29 min
This is Part 2 of Cindi's interview with Michelle Jacobs, President and co-founder of marketing measurement agency Alight Analytics. Lees meer
In Part 1, Michelle shared tips for keeping up with the rapid pace of change in the industry and explained in what ways data can transform marketing departments for the better. In this episode, Michelle and Cindi discuss how to bring more women into analytics, why messy data tends to be directionally accurate, and what Michelle predicts for the future of analytics.”
Key Discussion Points:
Avoid the Data Death March. Like single-use plastics, individually prepping massive amounts of data using yesterday's methods (like Excel and PowerPoint) for each and every meeting, presentation, and report is wasteful. The right technology can free up time and resources by centralizing this data and allowing it to be multi-purposed on-demand across all departments.
Form top-to-down best practices. Think about the question you want to answer first, then look for the data that can find that answer.
Data turns marketing from an expense into an investment. With the right data to trace factors that go into lead generation, clients can quantify exactly how their marketing dollars make a difference beyond black-and-white sales figures.
Messy data vs. clean data vs. no data. Data quality is good enough when it's directionally accurate.
Consolidation is your friend. If you're a marketer and you're looking to make educated decisions, get your marketing data in one place so that you can look at it holistically and understand how your entire ecosystem is performing.
More about Michelle:
Michelle Jacobs is the president and co-founder of Alight Analytics, and she’s on a personal mission to revolutionize how marketers use data.
Before co-founding Alight, Michelle drove marketing, advertising, and Web analytics strategies for leading companies such as H&R Block, American Century Investments, Saatchi & Saatchi, and Toyota. Michelle is a sought-after speak…
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Alight Analytics' Michelle Jacobs on Data-Driven Marketing and Respecting Customer Privacy (pt. 1)
19 augustus 2020 · 26 min
This is Part 1 of Cindi's interview with Michelle Jacobs, President and co-founder of marketing measurement agency Alight Analytics. Lees meer
On this episode, Michelle and Cindi discuss how data can turn marketing from a regretful expense to a worthwhile investment, the benefits of learning to ask the right questions of your data, and how to determine a customer's wants and needs without invading their privacy. Plus, they talk about how to flip the 80 percent of the time we spend preparing data with the 20 percent of the time we spend analyzing it, share tips for adapting to the rapid pace of change in technology, and much more.
Key Discussion Points:
Avoid the Data Death March. Like single-use plastics, individually prepping massive amounts of data using yesterday's methods (like Excel and PowerPoint) for each and every meeting, presentation, and report is wasteful. The right technology can free up time and resources by centralizing this data and allowing it to be multi-purposed on-demand across all departments.
Form top-to-down best practices. Think about the question you want to answer first, then look for the data that can find that answer.
Data turns marketing from an expense into an investment. With the right data to trace factors that go into lead generation, clients can quantify exactly how their marketing dollars make a difference beyond black-and-white sales figures.
Messy data vs. clean data vs. no data. Data quality is good enough when it's directionally accurate.
Consolidation is your friend. If you're a marketer and you're looking to make educated decisions, get your marketing data in one place so that you can look at it holistically and understand how your entire ecosystem is performing.
More about Michelle:
Michelle Jacobs is the president and co-founder of Alight Analytics, and she’s on a personal mission to revolutionize how marketers use data.
Before co-founding Alight, Michelle drove marketing, advertising, and Web analytics strategies for lead…
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Just Eat's Alberto Rey Villaverde on Machine Learning, A.I., and Bridging the Imagination Gap (pt. 2)
5 augustus 2020 · 23 min
This is Part 2 of Cindi's interview with Alberto Rey Villaverde, the Chief Data Officer at British online food order and delivery service Just Eat. Lees meer
Listen to Part 1 of their interview here.
On this episode, Alberto and Cindi discuss how machine learning allows data to speak for itself, why artificial intelligence is more effective when it's led with the guiding hand of a human than without, three components crucial to the success of data products and services, adjusting business practices and expectations during pandemics and economic downturns, the talent gap versus the imagination gap in the data industry from a European perspective, data lakes versus data warehouses, and much more.
Key Takeaways:
AI allows the data to speak for itself. Alberto's application of simple neural networking algorithms to massive sets of data efficiently and consistently optimized price points and saved his company money, justifying an expanded budget for AI adoption and development.
AI + humans is better than AI alone. AI augments human abilities, but it doesn't replace them. In unprecedented times (as we're experiencing on multiple fronts in 2020), algorithms especially rely on human imagination to fill in the blanks where there's no historical data to inform an outcome.
Three components crucial to the success of your data products and services. How Alberto sees access, model, and delivery fitting together to justify the cost of innovation necessary to implement new technologies and methodologies for handling data.
More about Alberto:
Alberto Rey Villaverde is the Chief Data Officer at British online food order and delivery service Just Eat. He is a pricing and revenue management professional with extensive experience within the data science field, particularly on BI and advanced analytics, data mining, machine learning techniques, and scenario modeling.
Alberto started his career in advanced analytics as a member of the pricing and revenue management team at easyJet, workin…
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Just Eat's Alberto Rey Villaverde on Machine Learning, A.I., and Bridging the Imagination Gap (pt. 1)
5 augustus 2020 · 30 min
This is Part 1 of Cindi's interview with Alberto Rey Villaverde, the Chief Data Officer at British online food order and delivery service Just Eat. Lees meer
On this episode, Alberto and Cindi discuss how machine learning allows data to speak for itself, why artificial intelligence is more effective when it's led with the guiding hand of a human than without, three components crucial to the success of data products and services, adjusting business practices and expectations during pandemics and economic downturns, the talent gap versus the imagination gap in the data industry from a European perspective, data lakes versus data warehouses, and much more.
Key Takeaways:
AI allows the data to speak for itself. Alberto's application of simple neural networking algorithms to massive sets of data efficiently and consistently optimized price points and saved his company money, justifying an expanded budget for AI adoption and development.
AI + humans is better than AI alone. AI augments human abilities, but it doesn't replace them. In unprecedented times (as we're experiencing on multiple fronts in 2020), algorithms especially rely on human imagination to fill in the blanks where there's no historical data to inform an outcome.
Three components crucial to the success of your data products and services. How Alberto sees access, model, and delivery fitting together to justify the cost of innovation necessary to implement new technologies and methodologies for handling data.
More about Alberto:
Alberto Rey Villaverde is the Chief Data Officer at British online food order and delivery service Just Eat. He is a pricing and revenue management professional with extensive experience within the data science field, particularly on BI and advanced analytics, data mining, machine learning techniques, and scenario modeling.
Alberto started his career in advanced analytics as a member of the pricing and revenue management team at easyJet, working in the development of one of the most adv…
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Moffitt Cancer Center's Dr. Dana Rollison on Accelerating Scientific Discovery with Data
22 juli 2020 · 50 min
Joining Cindi today is Dr. Dana Rollison, Vice President, Chief Data Officer, and Associate Center Director of Data Science at Moffitt Cancer Center. Dana has been with Moffitt for over 16 years in varying capacities since earning her PhD in Epidemiology from Johns Hopkins University in 2004. In this episode, she and Cindi discuss her work at Moffitt, how data is accelerating scientific discovery, and what leveraging data from the lab to the clinic looks like in practice. Lees meer
Key Discussion Points:
What makes Moffitt Cancer Center unique? Moffitt is the only National Cancer Institute-designated comprehensive cancer center in the state of Florida, and its level of data and analytics maturity leads in healthcare, a field that traditionally lags.
Moffitt's Total Cancer Care protocol seeks to enroll every one of the center's patients in a research study to find new prevention and treatment strategies through collection of unique data sets.
Trust matters. Dana's win/win approach to data collection earns trust from patients with privacy concerns. This helps her gather the most complete and useful set of information for doctors and researchers to arm themselves in the battle against cancer.
Data has a place in every department. Leveraging data to work in the best, practical interests of all departments and partners provides better integration for everything from clinical effectiveness to operational logistics.
More About Dana:
She was promoted to Associate Professor with tenure in 2010, and became a Senior Member in 2017. Her independent research focuses on the application of data science techniques to enhance cancer surveillance and etiologic studies of cutaneous viral infections, environmental exposures, and immune function.
Building upon her experience with linking Cancer Registry data to other administrative, research, and clinical data, Dr. Rollison began serving as Moffitt’s Vice President, Chief Data Officer (CDO) in 2010, setting an executive vision for Moffit…
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The Hartford's Sully McConnell on Data Infrastructure Innovation
8 juli 2020 · 35 min
Sully McConnell serves as the Chief Data Officer of The Hartford, where he has been since 2018. In this episode, Sully discusses the challenges he faced as a new data chief trying to innovate the infrastructure of an established company. He shares what worked, what hasn’t, and how he’s helped shift the team’s mindset so they can all make the changes needed to modernize the company. Lees meer
Key Discussion Points:
How an established company stays modern. The challenges a 21st-century data chief faces when trying to innovate and modernize the infrastructure of a 210-year-old insurance company that tends to err on the side of risk-aversion.
Countering one big reason transformation efforts fail. Tips for getting an entrenched team on board with the changes that need to be made in order to move forward.
Is the cost of cloud worth it? Weighing the cost of cloud versus the agility it brings, and the ethics of AI technology when it adds unintentional bias to the results.
More About Sully:
Sully McConnell serves as the Chief Data Officer of The Hartford, where he has been since 2018. He is an innovative technology executive and change agent with deep subject matter expertise in business intelligence, big data, and analytics domains.
Sully has an unusual blend of technical depth, a strong orientation towards customer and employee satisfaction, excellent motivational skills, and broad experience implementing and scaling agile delivery principles in large, complex organizations.
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
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For full show notes and more, go to thedatachief.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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Wunderman Thompson Data's Jacques van Niekerk on Culture, Innovation, and Diversity
1 juli 2020 · 53 min
Joining Cindi today is Jacques van Niekerk, the Global CEO of Wunderman Thompson Data. On this episode, Jacques and Cindi discuss why data is not the new oil, as many in the industry have proclaimed, but instead should be thought of as ‘the new oxygen’ for businesses. They also explore what it means to focus on your customers' terms over your own, how fostering a culture of curiosity inspires innovation and keeps you ahead of competition, and how encouraging diversity of thought within your organization can lead to unexplored and untapped markets. Lees meer
Key Takeaways:
Data is not the new oil -- it's oxygen. If you don't take your first-party customer data seriously, your organization runs the risk of asphyxiating before you're even aware of the danger.
Foster diversity of thought and a culture of curiosity. You never know what potential markets you're leaving untapped by excluding unexplored, overlooked, and neglected demographics you could otherwise be serving, or the new ways you can examine and expand upon existing data by viewing it through a new lens.
Want to stay personally relevant? Focus on your customers' terms, not yours, and you'll build experiences that generate a lifetime of loyalty.
More About Jacques
Jacques van Niekerk is the Global CEO of Wunderman Thompson Data, where he is responsible for leveraging his unique experience building global marketing, media, data, and technology businesses to develop and expand the agency’s vision for delivering comprehensive global data platforms, products, analytics, data sciences, and consulting solutions.
Prior to Wunderman Thompson, Jacques was the CEO of Wunderman Data. He has always been considered a pioneer in the digital marketing space, as one of the founders of Acceleration, the premier marketing technology consultancy that helps brands harness the power of marketing technology to maximize growth and enhance the consumer brand experience. Acceleration became part of WPP Digital in 2012 and Wunderman in 20…
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14 West's Grace Epperson on using data to improve customer experience
24 juni 2020 · 41 min
On this episode of The Data Chief, Cindi is joined by Grace Epperson, the Chief Analytics Officer at 14 West, an Agora Company. They discuss what Grace's learned in that role, and how her and her team’s mindsets have evolved over the years. Grace also shares her take on why a liberal arts education is valuable in technology industries, plus how data can help marketers create personalized and impactful customer experiences. Lees meer
Key Takeaways:
Include your customers in the design process. Changing the design process to be consultative, collaborative, and more of a conversation with the customer ensures that the end result meets their needs. Such a minor mindset shift can lead to exceptional results.
Critical thinking matters. In such a rapidly changing field as marketing, being able to intuitively bridge the gap between knowledge and expertise has become an even more valuable skill. With some simple tips, you can cultivate that type of thinking in your team.
How art complements technology. Approaching a career in tech with an education in the liberal arts is an asset, not a hindrance to success.
More About Grace
Grace Epperson is the Chief Analytics Officer at 14 West, an Agora Company. With over 20 years in data, analytics, marketing, and people leadership, she helps folks get value out of data that enable insights, stronger business decisions, and more powerful actions.
Over the years, Grace has held many marketing and operational leadership roles. Since 2011, she has had the privilege of leading 14 West's Business Intelligence team in working with 700+ users across 30+ publishing affiliates worldwide. Whether it's a conversation, an Excel report, a dashboard, an ad hoc question, a data feed, a predictive model, or a means of automated marketing activation, Grace and her team will be there to help affiliates leverage the value of their data.
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t…
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Schneider Electric's Gustavo Canton on optimizing human potential with AI and automation
10 juni 2020 · 56 min
Joining Cindi today is Gustavo Canton, VP of People Analytics at Schneider Electric. Gustavo has been with Schneider Electric for nearly three years, where he’s been a change agent driving innovation across Schneider’s growing data initiatives. In today's episode, Cindi and Gustavo discuss using automation to augment (not replace) humans, rebranding HR, scaling pandemic adaptation, the impact of staff well-being on performance, intuiting what customers really need, and team-building. Lees meer
Key Takeaways:
People aren't machines (and vice versa). Organize the structure so people are doing the work that only humans can do, and allow algorithms to take care of repetitive, mundane, report-driven tasks.
Monitor employee well-being and the impact on performance. We now have the technology to monitor and adjust the variables -- such as workplace air quality -- that contribute to (or detract from) staff well-being and overall performance.
Give the customer what they need (even if they don't know what that is). Only by initiating clear communication and establishing trust with our clients can we best understand and serve their needs -- because they're not always going to know what those needs are.
Leadership at all levels. No matter your role in an organization, you can have an impact. A graduate student made the case to Sam’s Club’s CFO on why they should have fuel stations, based on data.
More About Gustavo:
Nearing his third year at Schneider Electric, Gustavo Canton is the change agent responsible for developing and maturing the company's Global People Analytics and Metrics function. He also co-leads people analytics and data initiatives that sit across the talent lifecycle to help the company improve the way it works and ensure that HR is maximizing the value of data, predicting talent needs, and driving actionable insights.
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated.…
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Avnet's Max Chan on digital transformation and IT innovation
27 mei 2020 · 32 min
Today’s guest is Max Chan. Max is the CIO of Avnet where he is responsible for the delivery of all strategic business IT and digital transformation initiatives. Lees meer
Max sits down with Cindi to discuss Avnet’s long history, digital transformation and innovation in IT, and why the companies that leverage data to find valuable insights are miles ahead of the pack. Plus, Max shares some of the strategies he’s used to keep his team sharp in today’s fast-paced technology landscape.
Key Discussion Points:
A Little About Avnet. Avnet may not be a household name, but it’s a company that’s about to celebrate its 100th anniversary — and the technological components it distributes are in everything from your iPhone’s charging connector to various IoT devices.
From Collected Data to Insightful Data. How the technological leaps of the past five to eight years have allowed Avnet to truly leverage the wealth of data it has at its disposal.
Complimenting Your Internal Team with External Experts. The challenges faced when blending the hands-on experience of Avnet’s long-standing team with the technical savvy of external experts to utilize new tools in a way that’s best for business and morale.
More About Max:
Max Chan is the CIO of Avnet. Max and his team work closely with senior executives to translate business strategies to IT roadmaps and drive prioritization of these initiatives through a global governance process.
Max joined Avnet in 2013 as VP of IT for the Technology Solutions business in Asia Pacific. In this role, he led critical system implementations and enhancements, helping build Avnet’s Global Development Centers, while driving process improvement initiatives in the region. Max was later transferred to Phoenix, Arizona to take on global application and business relationship management roles, before being promoted to his current role in Dec 2018.
Prior to Avnet, Max held several IT leadership roles including; CIO, Asia at VF Corporation, and VP, IT building efficie…
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PwC's Scott Peck on data storytelling and creating a culture of leadership
13 mei 2020 · 46 min
Joining Cindi today is Scott Peck, the Senior Director of the Data & Analytics Center of Excellence at PricewaterhouseCoopers (PwC), where he’s worked for the past 13 years. In that time, he’s played a vital role in revolutionizing reporting systems, as well as helped revolutionize the role of the data analyst. Lees meer
In today’s episode, Cindi and Scott discuss what it means to be an ‘Analyst of the Future’, their thoughts on leadership, and why data storytelling is a must-have skill.
Key Takeaways:
Analyst of the Future. How Scott and his team transformed a report factory into proactive, business partners and analytics rock stars.
What is Your Customer Really Asking? Why design thinking and including every level of an organization in problem-solving is the key to finding answers to the questions that customers are really asking.
Creating a Culture of Leadership. How Scott empowers everyone on his team to be a leader and why he thinks cross-training employees in different skill sets is so important.
More About Scott:
Scott Peck is the Senior Director of the Data & Analytics Center of Excellence at PricewaterhouseCoopers (PwC) where he has a vision to build value for the company and its clients through analytics and innovation while promoting an environment where each team member acts as a confident, motivated, innovative leader essential to that vision.
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
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For full show notes and more, go to thedatachief.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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VMWare's Stephen Harris on navigating imperfect data
29 april 2020 · 44 min
Today’s guest is Stephen Harris, the CDO of VMware. Stephen has more than 20 years in the data, analytics, and professional services fields. Lees meer
He and Cindi discuss growth, diversity in tech, being a change agent within your organization, bias in AI, data for good, the talent gap, data fluency, and more!
Key Takeaways:
The importance of understanding the role of data and its potential impact when there is an absence of fact or misinterpretation of data.
How Stephen and his team at VMware are using data to navigate the current COVID-19 coronavirus crisis -- internally and externally.
What a flawed facial recognition demo tells us about AI and the risk of bias at scale.
More About Stephen:
Stephen Harris is the CDO and VP Head of Enterprise Data & Analytics of VMware, reporting directly to the company's CFO. His team takes a customer-centric approach to evolving VMware's data and analytic insight capabilities; these capabilities are anchored around four strategic pillars of execution to drive business outcomes.
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
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For full show notes and more, go to thedatachief.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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ThoughtSpot's Cindi Howson on the new role of the CDO
22 april 2020 · 31 min
Cindi Howson is the Chief Data Strategy Officer at ThoughtSpot and our host of The Data Chief. To kick off this new podcast, we wanted to switch the roles… today, Cindi is our guest! Lees meer
Tune in for a discussion between Cindi and Ian Faison, Executive Producer of The Data Chief, about culture, leadership, innovation, data for good, and what you can expect from future episodes of The Data Chief.
Key Takeaways:
How being an aspiring writer – but a lousy typist – got Cindi into technology.
The biggest changes Cindi has witnessed over the last 20 years.
Where the new role of CDO (Chief Data Officer) fits into the hierarchy among the CIO and CAO, the barriers someone in this position can expect to face, and the ways we can expect this role to evolve in the months and years to come.
More About Cindi:
Cindi Howson is the Chief Data Strategy Officer at ThoughtSpot, formerly a Gartner Research Vice President in Data and Analytics, and the Founder of BI Scorecard, an independent analyst firm focused on helping customers select BI tools and manage their BI portfolio and achieve more impact with data. She is also the author of several books, including Successful Business Intelligence: Unlock the Value of BI & Big Data and SAP BusinessObjects BI 4.0: The Complete Reference.
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
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For full show notes and more, go to thedatachief.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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About The Data & AI Chief
22 april 2020 · 2 min
Technology is transforming how we work, how we communicate, how we make decisions, and how we do business. And at the heart of it all is data and AI. Meet the world's top data and AI leaders bringing this revolution to life. Lees meer
In each episode of The Data & AI Chief, host Cindi Howson, Chief Data & AI Strategy Officer at ThoughtSpot, sits down with the leaders driving change at some of the most innovative companies in the world. They dig into real case studies, hard-won lessons, and the strategies, technologies, and cultures reshaping what it means to do business.
For more information, go to DataAndAIChief.com.
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The Data & AI Chief is brought to you by ThoughtSpot, the agentic analytics platform built for everyone to create personalized insights, drive decisions, and take action. Industry leaders like Lyft, Cisco, T-Mobile, Sephora, and Schneider Electric rely on ThoughtSpot to transform how their employees and customers take advantage of data to create better business outcomes. Learn more at thoughtspot.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.