The Data Chief

ThoughtSpot

٤٫٩ (٧٢)
التكنولوجيا
مرتان في الشهر

Meet the world’s top data and analytics leaders transforming how we do business. Hear case studies, industry insights, and personal lessons from the executives leading the data revolution. Join host Cindi Howson, Chief Data Strategy Officer at ThoughtSpot, every other Wednesday to meet the leaders and teams at the cutting edge.

١١ يونيو

How the Met Police Uses AI to Prevent Crime and Protect Communities

Step into the future of policing where data is a mission-critical asset. Cindi Howson talks with Aimee Smith, Director of Data at the Metropolitan Police, about the Met’s bold data transformation—from digitizing records dating back to 1829 to using AI and cloud tech for smarter, faster decisions. Hear how initiatives like the V100 program and real-time analytics help improve city safety. Key Moments: Genesis of the Met’s Data Strategy (03:35) - The Met's data strategy's origin is traced to former Commissioner Cressida Dick's leadership, who envisioned leveraging data to transform policing, leading to a program building data capabilities and broadening analytics use beyond traditional intelligence and performance applications. Mission with Data and AI (13:34): The Met's overarching mission to use data and AI for precise decision-making is articulated, acknowledging the complexity of policing's multiple goals: crime prevention, incident response, organized crime intervention, victim service, and custody safety. Infrastructure Evolution (15:18): The transformation of the Met's data infrastructure over 5 years, from 8 separate operational systems to an integrated one with cloud technology adoption, is described, enhancing analytics and data science capabilities. V100 Initiative (19:58): The V100 initiative, a data and analytics effort to reduce violence against women and girls by prioritizing individuals with a history of harm, is explained. Concert Security Powered by Analytics (27:50): The use of ThoughtSpot by frontline officers is illustrated with a sergeant's innovative application for analyzing crime data around events like the Taylor Swift Eras tour to improve policing plans. AI Agent Development (36:37): An innovative project to build an AI agent that assists frontline officers at crime scenes by providing real-time guidance is outlined, aiming to improve public protection and investigative outcomes. Key Quotes: “So if an officer wants to start being able to do their own searches, creating their own sort of planners, thinking about doing their own trend analysis essentially, of crime data, which is great, isn't it? I mean, that's just exactly how you want ThoughtSpot to be used. Every officer has access to that.” - Aimee Smith"I like to think of it as a utility belt—you know how cops wear their utility belt? Well, hanging on there is this ThoughtSpot tool. A sergeant invented a way to use it for planning major events, concerts, to make sure our presence is right. And now that's replicable by other people who want to do the same thing." - Aimee Smith"One of the 5 principles of our business strategy for London to keep it safe is to be more precise in the use of data for decision making. So it's a high-level principle of our strategy. That makes data and analytics much harder, because there aren't enough data specialists and too many data parts to point at all those missions in one go.” - Aimee SmithMentions Met Police’s V100 InitiativeMet Police Develops an Open Data Strategy with the Open Data InstituteMet Police’s Concert Preparation for Taylor Swift’s Eras Tour Cressida Dick Reflects on Public Trust in the Digital Age The Data Protection ActGuest Bio Aimee Smith's distinguished career in the Metropolitan Police Service (MPS) spans almost a quarter-century, truly a testament to her profound dedication to integrating robust data into the very core of police decision-making. She embarked on her journey in 2001 as an Intelligence Analyst, steadily rising through the ranks. By 2014, her leadership capabilities led her to head UK Policing’s largest Confidential Intelligence Unit. A pivotal "light-bulb moment" crystallized for her the critical importance of effective data management in driving operational outcomes, inspiring her to passionately spearhead the comprehensive MPS data transformation program. In a landmark achievement, Aimee was appointed as the first Director of Data for the MPS, where in 2019, she successfully established the inaugural Data Office within law enforcement, fundamentally reshaping how the service leverages its information. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

٤٥ من الدقائق
٢١ مايو

Why Hyatt is Investing in AI and Self-Service to Transform the Future of Hospitality

Embark on an insightful exploration of the hospitality sector, powered by data-driven analysis. Cindi Howson and Hyatt's data trailblazer, Ray Boyle (Vice President, Data and Analytics), are charting a course through Hyatt's data innovation. Witness how Hyatt's four-pillar data strategy is revolutionizing everything from employee empowerment to guest personalization and operational efficiency. Discover how Hyatt is democratizing data with self-service tools and pioneering an AI-powered frontier to redefine the very essence of hospitality! Key Moments: Data as an Asset (08:26): Ray emphasizes the importance of shifting the organizational mindset to view data not as a cost center, but as a critical asset. He discusses how data should be cared for, invested in, and stored like any other valuable asset, with the expectation of generating value for the business. Hyatt's Data Strategy Pillars (13:00): Ray outlines the four key pillars that form the foundation of Hyatt's data strategy. These pillars include cultivating people and building a data-driven culture, personalizing the guest and customer experience in a high-trust environment, operating with excellence by ensuring operational efficiency and information consistency, and growing with intent by integrating new businesses and data flows. Key Milestones in Hyatt's Data Transformation (16:42): Ray details the significant milestones in Hyatt's data transformation journey. These include clarifying the data strategy, establishing the data and AI operating model, building data governance capabilities, modernizing the data platform and infrastructure, expanding data assets, and releasing new services like personalization and forecasting. Data Democratization and Data Fluency (23:00): Ray explains Hyatt's strong emphasis on self-service analytics to empower users across the organization. He discusses the importance of data accessibility, trustworthiness, and usability, as well as the potential of generative AI to further democratize data access and insights. This includes building a data community to facilitate knowledge sharing and learning, as well as providing tooling and guidance to business organizations to effectively roll out analytics within their domains. AI's Impact and Collaboration (31:35): Ray explores the transformative impact of AI on businesses and its role in fostering tighter collaboration between business and technology teams. He discusses how AI is driving the need for reimagined workflows and how it's changing the way data is used and delivered across the organization.Key Quotes: “ThoughtSpot has been a key partner of ours on that journey. We just roll the data into the cloud, and we're working to publish our assets, sales, finance, loyalty, revenue, search, and marketing into that infrastructure so that there's just a growing base of information that everybody can use in the self-service context.” - Raymond Boyle"Velocity is something you build over time. It's how I think about the operating model around data, ensuring everyone plays their role and develops the necessary skills. To me, velocity increases as you establish the operating model and you have the business, technology, and data organizations, along with governance and security, all participating effectively. - Raymond Boyle"When you think about the business outcomes and how people are beginning to consider AI's potential in that transformation, I believe AI is becoming a more significant factor every quarter." - Raymond BoyleMentions The Four V’s of Big Data, Including VelocityDalva, By Jim HarrisonMinnesota Timberwolves’ SuccessGuest Bio Ray Boyle (current Vice President, Data and Analytics at Hyatt) has enjoyed a distinguished career spanning several industries and roles across consulting, software, analytics, and data leadership. His notable roles include leading strategic planning, research, and analytics for Walmart’s Sam’s Club division; serving as Vice President of Walmart Global Customer Insights and Analytics; Vice President of Walmart’s Global Data and Analytics Platform; Vice President leading FICO’s global retail and CPG practice; and Executive Vice President heading IRI’s Global Shopper Analytics and Services team. Since 2019, Ray has served as Vice President, Data and Analytics at Hyatt. Aligned with Hyatt’s purpose — to care for people so they can be their best — his ambition is to elevate and scale that care through data-driven decisions and automation that benefit guests, customers, owners, and colleagues. Guest Bio Ray Boyle (current Vice President, Data and Analytics at Hyatt) has enjoyed a distinguished career spanning several industries and roles across consulting, software, analytics, and data leadership. His notable roles include leading strategic planning, research, and analytics for Walmart’s Sam’s Club division; serving as Vice President of Walmart Global Customer Insights and Analytics; Vice President of Walmart’s Global Data and Analytics Platform; Vice President leading FICO’s global retail and CPG practice; and Executive Vice President heading IRI’s Global Shopper Analytics and Services team. Since 2019, Ray has served as Vice President, Data and Analytics at Hyatt. Aligned with Hyatt’s purpose — to care for people so they can be their best — his ambition is to elevate and scale that care through data-driven decisions and automation that benefit guests, customers, owners, and colleagues. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

٤١ من الدقائق
١٢ مايو

How Macquarie Bank Uses AI and Data to Enhance Customer Experience

Prepare to see banking in a new light! Cindi Howson and Macquarie Bank's data trailblazer, Ashwin Sinha (Chief Data Officer), go deep into the AI revolution transforming financial services. Discover how one of Australia's most dynamic financial institutions, Macquarie Bank, is wielding the disruptive force of generative AI, not just for efficiency, but to combat high-stakes threats like fraud. Plus, discover the remarkable evolution of the data analyst from report-generator to AI-powered strategic powerhouse! Key Moments: Drivers of Digital Transformation (04:36): Ashwin outlines the key factors driving a digital transformation and early cloud adoption, emphasizing customer obsession, improving turnaround times, and ensuring technology reliability. Leveraging Dual Cloud Providers (12:25): Ashwin discusses Macquarie Bank's use of AWS for infrastructure and core applications and Google Cloud (GCP) for its digital and data stack, including AI capabilities. The Power of Gen AI in Analytics (14:16): Ashwin explores the role of generative AI in enhancing productivity for data analysts, particularly through prompt engineering and tools like ThoughtSpot. Empowering Analysts Through Evolution (16:56): Ashwin details Macquarie Bank's successful strategy for evolving the data analyst role by proactively introducing self-service analytics, emphasizing upskilling, and enabling analysts to concentrate on higher-impact activitiesCombating Data Risk and Fraud Prevention (26:04): Ashwin discusses the increasing threat of scams and fraud and details Macquarie's two-pronged approach: educating customers and employing AI and machine learning to detect and prevent fraudulent activities. Importance of Prompt Engineering (32:57): Ashwin stresses the significance of prompt engineering as a general-purpose technology that can drive productivity across various business functions, not just within technical roles. Key Quotes: "There is always a big backlog in most organizations, which you cannot get done just because you do not have enough capacity. You cannot prioritize them. You cannot execute fast enough. And so, what prompt engineering and GenAI broadly does is take away the low-value tasks that you could just use AI and machine learning to do for you." - Ashwin Sinha"Prompt engineering—even though it has 'engineering' in it— I see that as a general-purpose technology. It's a bit like we've just got access to a super powerful search with a lot more analytical and reasoning capability. That's how I think of the usage of any of the foundational or large language models for, you know, the general population who are not in engineering or technical roles. Whether they're in business roles, sales and distribution, finance, marketing, or any of those functions, the use of prompt engineering just enables the next level of productivity for them. - Ashwin SinhaMentions Prompt Engineering in the Age of AIAI Agent GovernanceThoughtSpot Spotter: Your AI AnalystScuba Diving and the History of the Liberty Shipwreck in BaliThe Importance of Child Education in IndiaGuest Bio Ashwin Sinha is the Chief Data Officer and Executive Director at Macquarie Bank, where he oversees the strategy and execution of Data and AI. Before joining Macquarie in 2019, Ashwin was a Partner at KPMG, leading the Data business. He has also held various global software engineering, start-up, and consulting roles over the past 22 years, focusing on data and digital transformations. Outside work, Ashwin is passionate about child education and macroeconomics Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

٤١ من الدقائق
٢٣ أبريل

How SeaWorld Uses Data to Create Unforgettable Guest and Marine Life Experiences

Ever wondered how data powers the magic behind your favorite theme park experiences? Join Cindi Howson and Gavin Hupp, VP of Technology, Enterprise Architecture, Data and Martech, E-commerce and Analytics at United Parks and Resorts, as they explore the complex data ecosystem of a theme park, from e-commerce and guest experience to AI's role in shaping the future of entertainment. Key Moments: Theme Park Business Model (03:12): Theme parks are described as a mix of multiple businesses, including e-commerce for ticket sales, animal experiences, entertainment venues, culinary and restaurant services, and retail operations. This combination creates a complex ecosystem, similar to city planning, within a single physical location. Data Ecosystem Challenges (03:37): Gavin highlights the challenge of managing data within theme parks due to the variety of business areas. Each area generates unique data, leading to disparate and sometimes siloed data sets across different business applications. AI as an Innovation Driver (11:24): AI is viewed as a key driver of innovation within the theme park industry, capable of creating new products and services, such as augmented reality experiences, and enhancing personalization at scale. AI for Process Optimization (11:24): Beyond guest-facing innovation, AI is also seen as a tool to optimize business processes, streamline operations, reduce costs, and identify opportunities for revenue growth through personalization and increased efficiency. Data-Driven Decision-Making (17:30): United Parks and Resorts emphasizes the importance of guest feedback, collected through surveys and other means, and uses it to inform decision-making and guide the company's overall strategy. Agile Development Approach (28:50): Gavin explains how the company employs agile development principles, using "skateboards" as a metaphor for quickly delivering initial solutions and value while simultaneously iterating and building more comprehensive and scalable solutions ("scooters" and "factories").Key Quotes: "To become more data-driven, you have to break down silos. This requires making people aware of the silos, the challenges they create, and framing it as a data quality discussion. Getting business leaders to care about data quality isn't easy; they want end results and impact." - Gavin Hupp"There's product and service innovation, and business process innovation, where AI optimizes and streamlines operations, decreasing costs and increasing revenue through personalization." - Gavin Hupp“There's an agile concept, a principle where, at the end of the day, you need to get movement, you need to get going. And so you can use a skateboard to go from point A to point B.” - Gavin HuppMentions Gavin Hupp, Forbes ArticlePenguin Trek: Seaworld Roller CoasterConway’s Law4 Values of Agile DevelopmentScrumDiet & Eating Habits of Killer WhalesGuest Bio Gavin Hupp is currently the VP of Technology: Enterprise Architecture & Data, Martech, e-Commerce & Analytics at SeaWorld Parks & Entertainment (United Parks & Resorts). In addition, he is also a member of the Quartz CIO & CISO Advisory Board. Gavin’s expertise is helping shape the agenda to ensure it’s packed with actionable strategies and forward-thinking insights. Gavin Hupp has a strong background in technology, data, and marketing, with experience in various leadership roles in companies such as PetSmart, Denny's, and Transdev North America. Gavin has a strong educational background, with degrees from the Massachusetts Institute of Technology, Stanford University, and Western International University. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

٤٥ من الدقائق
٩ أبريل

How SharkNinja Drives Business Value: The Power of Data for All

How does SharkNinja use data to fuel its rapid growth and product innovation? Join Cindi Howson and Elpida Ormanidou, VP of Analytics and Insights at SharkNinja, as they dissect SharkNinja's data-driven culture, Elpida's journey in the data space across CPG and retail, and her insights on AI in the workplace. Key Moments: Data-Driven Culture (03:36): SharkNinja strongly emphasizes data in its culture, utilizing it to inform decision-making processes. The company is committed to using customer feedback gathered through data to drive the development and refinement of its product offerings. CEO's Data Focus for Customer-centric Innovation (05:43): SharkNinja's CEO demonstrates a notable dedication to data by actively engaging with it. This involvement includes closely reviewing customer feedback and using data insights to guide product discussions and challenge teams to improve. Data Ethics and Privacy (09:17): SharkNinja places a high priority on data ethics and privacy, emphasizing the importance of earning customer trust. Elpida shares how the company is committed to using customer data responsibly and has implemented strong controls to protect privacy. AI and the Future of Work (20:31): Elpida discusses the transformative impact of AI on the future of work, characterizing it as a revolution. She emphasizes the importance of proactively addressing the changes by reskilling and upskilling the workforce to adapt to new roles and technologies. Key Quotes: "Value gets created at the time of consumption. We create value for the business when data gets consumed, not when it gets connected, not when it gets processed, not when it gets synthesized, only when it's being used to drive decisions that create value for the company." - Elpida Ormanidou"Think of a company as a chain, where everything is interlinked to level up. Today's struggle is that while we have good AI applications, it's an art to connect them to create the next level of experience, particularly for customers. What works in a lab doesn't work the same in real life; there are so many different factors.” -Elpida Ormanidou"Where others have fear, I have hope and optimism that the more we automate and we remove mundane tasks from our day-to-day life or even our work life, the more we would be able to use our beautiful brains to reimagine and create new things that as a race will drive us forward for another 3,000 years." -Elpida OrmanidouMentions: SharkNinja Coolar: FrostVault TechnologySharkNinja HydrovacSurat: 100 Resilient Cities of the WorldMadam Curie: A Biography, By Eve CurieGuest Bio Elpida Ormanidou Elpida Ormanidou is the Vice President of Analytics & Insights at SharkNinja. She has extensive experience in data and analytics, having worked at companies like Walmart and Starbucks. At SharkNinja, she leads the data strategy and is passionate about fostering a data-driven culture. Elpida is a strong advocate for ethical data practices and responsible AI implementation. She is a recognized voice in the data and analytics community, frequently speaking at industry events and mentoring young professionals. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

٤١ من الدقائق
١٩ مارس

Data-Driven Personalization: Sephora's Winning Strategy

How is Sephora using data to create personalized experiences that customers love? Join Cindi Howson and Manbir Paul, VP of Engineering, Data Insights & MarTech at Sephora, as they explore the role of data and AI in understanding customer needs, predicting preferences, and delivering impactful moments. Key Moments: Micro-Moments that Matter (3:30): Sephora leverages data to create impactful moments for customers, like sending a timely reminder to a traveler about their moisturizer.Modern Data & AI Stack (5:00): Manbir discusses Sephora’s best-of-breed data and AI stack, spanning cloud data platform, BI solution, cataloging, and machine learning democratization.The Power of the Semantic Layer (7:30): The semantic layer is crucial for enabling meaningful data discovery and governance. Sephora's investment in ThoughtSpot was driven by the need to enhance their semantic layer and drive intelligence in their BI space.Collaborative Data Governance (10:00): Sephora fosters a collaborative approach to data governance, with data stewards playing a key role. They identify individuals who are subject matter experts in their areas and are passionate about data to help drive governance and enrichment.Unlearning and Relearning (16:30): The challenge of keeping up with the evolving data landscape requires unlearning old practices and embracing new ones. Manbir highlights the importance of giving individuals the opportunity to look at the changing landscape from a new lens and empowering them to drive transformation.The Importance of Continuous Learning (20:30): Manbir acknowledges the challenge of balancing learning with delivering results, but stresses the importance of continuous learning in a rapidly evolving field. She notes that individuals are often willing to go above and beyond if there is a learning opportunity.Building High-Performing Teams (22:30): Manbir discusses the nuances of creating a high-performing, nimble team that can adapt to change and drive innovation. He mentions the importance of understanding the nuances that are important in transforming a team into a high-performing one.Key Quotes: "The intimate details, we always talk about getting closer to our clients. We want to experience our clients. I feel the intimate details that data gives you, getting your clients so close to you, is a very different lens to look at data from. It is a gift of feedback that the clients give to you or your consumers give to you in terms of data.” - Manbir Paul"Democratizing these technologies is key to our tech stack. We have a multi-cloud strategy to capture the best tools. Tools, plus our BI investment, help us. ThoughtSpot was chosen for meaningful data insights, reaching clients where they interact with data and enhancing our BI intelligence." - Manbir Paul"We want to make sure that there are tools that help us enable scaled implementations in driving personalization, and that's where our Databricks platform enables us doing that." - Manbir PaulMentions Farmacy: Honey Halo Ultra-Hydrating Ceramide MoisturizerThe Geek Way by Andrew McAfeeGuest Bio Manbir Paul Manbir Paul is VP of Engineering, Data Insights & MarTech at Sephora. Prior to this, he served as global head of ML engineering at Levi Strauss & Co. As a proactive, results-driven technology leader specializing in the retail industry, Manbir's expertise lies not just in understanding the industry's complexities, but also in harnessing the transformative power of Data and AI. With a passion deeply rooted in technological innovation, his most recent endeavors have involved leading in the realms of Data and AI to develop, scale, and implement solutions that amplify business growth Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

٣٩ من الدقائق
٥ مارس

Bridging the Gender Gap in Data & AI with Databricks & Women in Data UK

Join host Cindi Howson as she dives into the critical topic of diversity and inclusion in the data and AI space with Roisin McCarthy, founder of Women in Data UK, and Robin Sutara, Field CDO at Databricks. They discuss the challenges of recruiting and retaining diverse talent, the importance of male allies, and the role of AI in creating a more inclusive workforce Key Moments: The Power of Community: Building a Network for Women in Data: Roisin McCarthy shares the story behind founding Women in Data, inspired by her mother's advice to "put up or shut up." She highlights the organization's growth to 80,000 members in 120 countries and emphasizes the importance of male allies in achieving gender representation. (2:41) From Apache Helicopters to Chief Data Officer: A Non-Traditional Journey: Robin Sutara shares her unique career path, starting with repairing Apache helicopters in the US Army and eventually becoming a CDO. She discusses the challenges she faced as a woman in tech and the importance of fixing systemic issues to achieve equity. (6:19) The Talent Crunch: Addressing the Data Skills Gap: The conversation shifts to the shortage of qualified individuals in data and technology. Roisin McCarthy highlights the need for organizations to rethink their recruitment strategies and remove unnecessary barriers to entry. (11:31) Closing the Pay Gap: A Shared Responsibility: Roisin and Robin discuss the persistent pay gap in the data industry and the risk of it widening further. They emphasize the importance of both individual and systemic action to achieve pay parity. (20:46) Generative AI: A Double-Edged Sword for Recruiting: Roisin McCarthy shares a cautionary tale about the potential for bias in AI-generated job descriptions. She stresses the importance of human oversight and highlights Women in Data's work to develop technology that removes bias from job descriptions. (46:30) The Future of Data and AI: Embracing Innovation and Inclusion: Robin Sutara expresses excitement about the potential of AI to simplify complex tasks and unlock the power of data. She emphasizes the importance of leveraging technology to innovate and create a more equitable and inclusive data workforce. (49:22)Key Quotes: "We simply do not have enough people coming into the industry. Regardless of gender, let's take that away. We do not have enough qualified individuals coming into the workplace in data and technology." - Roisin McCarthy "We can't affect the change that this mission is so focused on reaching if we don't have everybody at the table." - Roisin McCarthy "Hire talent that's not currently in the ecosystem, bring in people with a different perspective or a different experience or a different capability. You can teach them technology, right?" - Robin Sutara "If I start 20% behind my male cohorts, doesn't matter how much you reward on meritocracy, I will never catch up." - Robin Sutara "GenAI tech is there for so many things as to Robin's point to really take some of the heavy lifting out. But when we're looking to build inclusive teams, diverse, inclusive teams, I think that we just need a bit of a sense check and ensuring that we've got the human in the loop." - Roisin McCarthy Mentions Women in Data PodcastDatabricks BlogGuest Bios Roisin McCarthy As a result of her own efforts, over two thousand people have moved into more satisfying roles and dozens of teams put together. Furthermore, she has managed a successful team of professional recruiters which, over the years, has placed thousands more. Today, she runs the successful recruitment firm, Datatech Analytics, and is the co-founder of the ground-breaking initiative, Women in Data UK. Over the past 19 years, McCarthy has been responsible for building some of the UK’s most cutting-edge data teams and has facilitated some of the most influential and successful careers in this sector, building relationships, influence and firm friendships along the way. McCarthy is seen as a thought-leader and an authority on careers, team development and talent acquisition in the field. Her unrivalled network of contacts, commitment to the data and analytics community and her unwavering passion for building strong, skilled teams is what makes her so unique. Robin Sutara From repairing Apache helicopters near the Korean DMZ to the corporate battlefield, Robin has demonstrated success in navigating the high stress, and sometimes combative, complexities of data-led transformations. She has consulted with hundreds of organisations on data strategy, data culture, and building diverse data teams. Robin has had an eclectic career path in technical and business functions with more than two decades in tech companies, including Microsoft and Databricks. She also has achieved multiple academic accomplishments from her juris doctorate to a masters in law to engineering leadership. From her first technical role as an entry-level consumer support engineer to her current role in the C-Suite, Robin supports creating an inclusive workplace and is the current chair of Women in Data North America Committee. She was also recognized in 2023 as a Top 20 Women in Data and Tech, as well as DataIQ 100 Most Influential. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

٥٤ من الدقائق
١٩ فبراير

Why a Federated Data Team is Crucial for Business Value, with Dow

Join host Cindi Howson alongside Chris Bruman, Chief Data and Analytics Officer at Dow, and Dan Futter, Chief Commercial Officer at Dow, as they explore how data-driven innovation is reshaping business and customer experiences. From the hub-and-spoke model for data management to the power of real-time insights, they discuss the role of data literacy, leadership, and AI-driven decision-making in driving success. Don’t miss this conversation on the future of AI, data strategy, and innovation. Discover the innovations that inspire Chris Bruman and Dan Futter, how data has shaped their careers, and which tech leaders they admire most. Key Moments: Revolutionizing Data: The Hub-and-Spoke Model: The Dow team highlights the shift to digital, while Cindi Howson reflects on IT’s evolution. They explain Dow’s decentralized hub-and-spoke model, balancing governance with agility for faster insights, accuracy, and career growth. (9:04)Why Data & Business Literacy Matter: Our guests stress understanding business needs, defining clear roles within the hub-and-spoke model, and supporting skill development. This approach simplifies processes, builds confidence in analytics, and drives value for Dow. (18:02)The Integrated Data Hub: A Game-Changer: Dow’s data hub slashes data science time from months to a day. Prioritizing quality over speed prevents tech debt, ensuring strong governance. Now the go-to source for innovation, it plays a crucial role in Dow’s data strategy. (28:03)Balancing Competing Demands in Industry: Our knowledgeable leaders in the industry underscore the importance of prioritizing data projects for impact. Decentralization eases bottlenecks, but demand remains high. Dow now requires senior sponsorship to ensure measurable value and optimize resources. (36:06)Key Quotes: "Too often, we wait until the project's done to figure out how to get the value and who’s going to sponsor it. We have to flip that around and secure senior sponsorship before we even start." – Chris Bruman"If I talk data mesh to my business clients, there’s going to be a blank stare, right? So we use hub and spoke—it’s more visual and makes a lot more sense. At the end of the day, it's really about decentralization." – Chris Bruman"Instead of just showing a data sheet or marketing collateral and making the customer hunt for insights, we now surface specific text, data, and even language customization—getting them straight to the front door, not just the right street." – Dan Futter"It’s not just about finding data—it’s about ensuring its integrity. Where is that data? How does it get created? Which processes generate it? How do we train people so that, from the start, it stays high-integrity?" – Dan FutterMentions What is a data mesh?SpaceXIn Our Time PodcastWalking the Dog PodcastGuest Bios: Chris Bruman Chris Bruman is the Chief Data and Analytics Officer at Dow, a multinational company with operations in 31 countries that serves customers in a wide range of markets. Dan Futter Dan Futter is the Chief Commercial Officer for Dow. Through his leadership in Customer Experience and Marketing/Sales disciplines, Dow is on track to become the most customer-centric material science company in the world. He was the program lead for the design, development, and launch of the company’s groundbreaking Dow.com e-commerce platform and is passionate about the role digital technology plays in transforming customer journeys. Dan serves on the Executive Committee and is Chair of the Medals Committee of the Society of Chemical Industry America. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

٥١ من الدقائق

مشاهدة الكل (١١٦)

٤٫٩

من ٥

‫٧٢ من التقييمات‬

Excellent guests

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n(joy)

Thoroughly enjoy the discussions, insights, trials & tribulations, failures, and successes. Informative and entertaining 🤓 #DataFest
Great data podcast

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PPTNinja

The guests on this show are always top-notch. Cindi does a great job of asking insightful questions. Definitely consider adding this podcast to your playlist if you’re interested in learning more about data and analytics!
Empowering, insightful and actionable! 🙌

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obacker19

Whether you’re well established as someone innovating in the data and compliance ecosystem, or just getting started as a catalyst for change - this is a must-listen podcast for you! Cindi does an incredible job leading conversations that cover a huge breadth of topics related to the ins and outs of navigating an ever changing world of bits - from leaders who’ve actually walked the path. Highly recommend listening and subscribing!
Best Data Strategy podcast in a clear way!

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rbrito71

This podcast is very interesting and focuses on data. It is hosted by Cindi Howson who is well known and respected in the BI/Data industry for years. She is very fun to listen to and her guests are real world leaders that share their knowledge on a very clear and interesting way! Two thumbs up and recommended.

Meet the world’s top data and analytics leaders transforming how we do business. Hear case studies, industry insights, and personal lessons from the executives leading the data revolution. Join host Cindi Howson, Chief Data Strategy Officer at ThoughtSpot, every other Wednesday to meet the leaders and teams at the cutting edge.