The Data Chief

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. 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 TakeawaysMeasuring 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 Because data flows at such a quick pace, predetermined views and dashboards are often outdated as soon as they’re created.Data sharing leads to quicker results: Data sharing is enabling customers to monetize data without the messiness of manual file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 one platform to another, data professionals are not constrained by time and volume.About GrantGrant Parsamyan serves as the Vice President - Data Engineering and Analytics of OpenTable. Grant started at OpenTable in March of 2017. Grant currently resides in the Greater Los Angeles area.--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. -- For full show notes and more, go to thedatachief.com.  Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

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.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 TakeawaysThe 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 the same time, data functions have a special role to play in helping companies reason with uncertainty, understand measurement and experimentation.About BradBrad Klingenberg is the Chief Algorithms Officer at Daily Harvest, the direct-to-consumer brand that helps you stock your home with clean, delicious food built on real fruit + vegetables and ready in minutes. Brad leads the data team and is charged with using data and algorithms to tailor the Daily Harvest experience to individual food values and taste preferences through the co-creation of food and digital personalization.Prior to Daily Harvest, Brad was the Chief Algorithm Officer at Stitch Fix, where he oversaw a team of more than 140 data scientists and engineers. As the leader of the Algorithms team, Brad was responsible for developing and improving the core algorithmic capabilities that leverage data to power Stitch Fix.Brad has also served as an advisor/consultant for Candidate Labs, Udacity, Opendoor.com, and Netflix. He currently lives in Boulder, CO with his family and holds a PhD from Stanford University, as well as a Bachelor of Science - Master of Science dual degree from University of Colorado at Boulder.--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. -- For full show notes and more, go to thedatachief.com. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

“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? 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 TakeawaysTrust 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 the data.About IanIan Wong is the co-founder and Chief Technology Officer of Opendoor, where he is responsible for the development of product and technology. Ian is building a team of engineers, data scientists, product managers and designers to modernize the real estate industry. He was previously pursuing his PhD in electrical engineering at Stanford when he left to join Square as their first data scientist. At Square, Ian developed tools and algorithms to handle risk. He has earned Masters degrees in electrical engineering and statistics from Stanford University. As a mission-driven real estate marketplace that radically simplifies home buying and selling, Opendoor has been used by over 85,000 customers in more than 25 metros nationwide.--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.

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.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 AjeetAjeet 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 multi-billion dollar technology companies from the ground up - ThoughtSpot and Nutanix. Prior to starting ThoughtSpot, he was a co-founder and Chief Products Officer at Nutanix, the leader in the enterprise cloud industry and largest tech IPO of 2016. Prior to Nutanix, Ajeet learned the ropes of enterprise technology startups as the Senior Director of Product Management at Aster Data, later acquired by Teradata for $300M. Ajeet has also held business and technical roles at Oracle, where he was part of the team that first launched Oracle Database to the Amazon EC2 cloud. Ajeet holds an MBA from the Indian Institute of Management, Calcutta, and a Bachelor of Science in Chemical Engineering from the Indian Institute of Technology, Kanpur, where he graduated at the top of his class.--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.

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. 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 TakeawaysThe 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. At the other end of the spectrum, organizations who are embracing cloud and augmented analytics are empowering new decision makers at the speed business demands.Assessing your Data Fluency: Investing in data fluency and partnering with business stakeholders to build these skills across your organization is part of your mandate as a Data Chief. As an industry, we need to flip the emphasis from technical training to using data in a business context.About CindiCindi Howson is an analytics and BI expert with 20-plus years’ experience and a flair for bridging business needs with technology. Cindi was previously a Gartner Vice President in data and analytics, lead author of the Analytics and BI Magic Quadrant, data and analytics maturity model, as well as research in data and AI for good, NLP/BI Search, and augmented analytics. She introduced the BI bake-offs and innovation panels at Gartner events globally and is a popular keynote speaker. Prior to this, she was the founder of BI Scorecard, a resource for in-depth product reviews based on exclusive hands-on testing, a contributor to Information Week, and 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. She served as The Data Warehousing Institute (TDWI) faculty member for more than a decade. Prior to founding BI Scorecard, Howson was a manager at Deloitte & Touche and a BI standards leader for Dow Chemical. She has an MBA from Rice University and a BA from the University of Maryland.--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. -- For full show notes and more, go to thedatachief.com. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

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.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.Ruha's second book, Race After Technology: Abolitionist Tools for the New Jim Code, examines the relationship between machine bias and systemic racism, analyzing specific cases of “discriminatory design,” and offering tools for a socially-conscious approach to tech development. She is also the editor of Captivating Technology.Ruha also recommends the workbook, Advancing Racial Literacy in Tech.--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. -- For full show notes and more, go to thedatachief.com. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

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.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 Sankaran is the Executive Director of Advanced Analytics/AI and ML at Verizon. She's a technology executive with 24+ years of hands-on leadership experience and a proven track record in fast-paced and quality-driven product delivery, leading and managing high-performance teams in the telecom and wireless industry for 4G LTE, IoT, and 5G technologies. Radha has a strong foundation of strategic thinking, operational excellence, people, and culture development, all anchored in integrity.  She has spent 12.5 years with Verizon and currently serves as the Exec Director of the Systems of Insights portfolio leading Advanced Analytics and AI-Driven Customer Experience Strategy and Development within the Customer Experience Organization for the Consumer Verizon Business. Before assuming her current position, she was the Executive Director spearheading omnichannel customer experience for all wireless assisted channels in addition to the overarching responsibilities for strategy, architecture, development, analytics, and quality assurance in Verizon IT resulting in annual revenues of $5B to $8B.Prior to Verizon, Radha spent 13 years at AT&T/Lucent/Avaya until 2007, where she did some pioneering work in the field of HDTV and Synchronous Optical Network (SONET) and CRM technologies. In her last responsibility at Avaya, she was in a technology architect role for implementing the Sales Module in SAP as well as Avaya's multimedia contact center application integrated into Siebel's service management module.Radha holds a Master's degree in Electrical Engineering from SUNY, Stony Brook.--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. -- For full show notes and more, go to thedatachief.com. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

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:Donald Farmer, a principal at TreeHive StrategyWayne Eckerson, the Founder and Principal Consultant at Eckerson GroupTom 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! --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. -- For full show notes and more, go to thedatachief.com. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Joining Cindi today is Chris Powers, Senior Vice President and Global Product Manager of Business Data Analytics & Digital Innovations at Citigroup.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 experience data, he focuses on providing the tools and insights to interpret the data so people can be empowered to make the best decisions for their clients. But for him, it is not just about the data. People tell stories with their data, and to do that effectively, they need to be able to understand what their data is telling them. Chris works to create a community of people that can effectively work and communicate with their data in order to build a data-driven culture. He doesn’t just do this inside Citi.Chris is one of the founding members of the Tampa ThoughtSpot user group and is also a 2020 Qlik Data Luminary, creator, and co-organizer of the Tampa Qlik Meetup group. Since his childhood, he has had quite the journey to get where he is today. Learning how to overcome his own data anxiety, navigating through a rollercoaster of education decisions, and putting his sometimes exhausting questioning of "But why?” to good use. He spent more than 10 years in customer service before finally joining Citi. Now Chris uses the unique experiences from his journey to help people with common data sense.--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. -- For full show notes and more, go to thedatachief.com. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

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).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 JimJim 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 concept to design in implementation and through execution. His vision has created significant culture changes while shifting information delivery methodologies — including innovative agile execution approaches — ensuring appropriate controls and governance focused on a data-driven experience and empowering business outcomes.--The Data Chief is brought to you by ThoughtSpot. For more on how the most successful data leaders are driving value in their organizations, join Cindi and the ThoughtSpot team at Beyond 2020, the leading data & analytics event of the year. Go to www.thoughtspot.com/beyond2020 for more information.-- For full show notes and more, go to thedatachief.com. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.