Deconstructing Data

BDEX
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Want to understand marketing data on a deeper level? Tune into Deconstructing Data to learn from BDEX and outside experts on how to use first-party data, target your marketing, and make your advertising as effective as possible.

  1. 6小时前

    Scaling Creative Agencies with Profit-Focused Models

    Profitability is one of the biggest challenges creative and digital agencies face as they grow. Many scale revenue but struggle to maintain healthy margins, predictable financial models, and operational discipline. On this episode of Deconstructing Data, Jessie and David welcome Jody Grunden, Partner and Virtual CFO Practice Leader at Anders CPAs + Advisors, to discuss how agencies can build financial structures that support both growth and long-term profitability. Jody has spent more than two decades helping creative and digital agencies strengthen their financial foundations. As the co-founder of Summit CPA Group, now Anders Virtual CFO, he helped pioneer subscription-based billing in the accounting industry and built one of North America’s first fully distributed Virtual CFO practices. Through his work, he has developed frameworks that help agencies align financial strategy with operational decision-making and sustainable growth. Jody is also the author of Digital Dollars and Cents and Building the Virtual CFO Firm in the Cloud, and has been recognized by CPA.com as one of the most innovative practitioners in the accounting profession. His work focuses on helping agency leaders move beyond reactive financial management and toward clearer, data-driven financial planning. In this conversation, the discussion will explore how agencies can structure their financial models to support growth, how subscription pricing has influenced modern accounting practices, and what operational frameworks agencies can adopt to scale while maintaining profitability. Topics include: 1. A Profit-Focused Maturity Model for Agencies 2. How Subscription Pricing Changed Accounting Models 3. How Creative Agencies Can Scale Profitably 4. Tech Stack Join us for this discussion to learn how financial strategy, pricing models, and operational frameworks can help creative agencies build stronger, more profitable businesses.

    42 分钟

  2. 4月17日

    Data Foundations and Hybrid Teams in Modern Marketing

    AI is generating more insights than ever. Turning those insights into something structured, usable, and actionable remains the challenge. As organizations explore trends, experiment with AI, and build new systems, the question becomes how to move beyond scattered signals and create knowledge that actually supports decision-making. On this episode of Deconstructing Data, Jessie Lizak and David Finkelstein are joined by Piers Fawkes, Founder of PSFK and Fodda, to explore how trends, data, and knowledge systems intersect in the age of AI. Piers has spent over two decades helping global brands identify emerging patterns and translate them into strategy. His work now focuses on building structured knowledge systems that allow both humans and AI to better understand, organize, and act on complex information. In this conversation, we’ll explore: 1. Artificial Intelligence Trends in Startups 2. Knowledge Graphs in Data and AI Systems 3. Using Data for Trends Research 4. Tech Stack From weak signals to structured data, this episode examines how organizations can better capture, organize, and apply knowledge in an increasingly AI-driven environment. Join us as we break down how trends, data, and knowledge systems are shaping how companies think, plan, and build for the future.

    37 分钟

  3. 3月30日

    Preparing Enterprise Data for Reliable AI Systems

    AI systems are only as reliable as the data behind them. Disconnected tools, inconsistent data, and fragmented signals continue to slow down decision-making across organizations. As more companies adopt AI, the challenge is not just implementation; it is ensuring the data feeding those systems is clean, structured, and usable. On this episode of Deconstructing Data, Jessie Lizak and David Finkelstein are joined by Eugina Jordan, CEO and Co-founder of YOUnifiedAI to explore what it takes to prepare enterprise data for reliable AI systems. Eugina brings a unique perspective shaped by decades of experience in building and scaling businesses, leading go-to-market strategies, and driving innovation across industries. With over 24 patents and a background in creating and launching new market categories, she focuses on solving one of the most persistent challenges in business: connecting fragmented data to enable faster, more informed decisions. In this conversation, we’ll explore: 1. Data Consistency and Cleansing for Reliable AI Systems 2. Structured vs Unstructured Data Strategies for Enterprise AI 3. Activating Intent Signals from Fragmented Data 4. Tech Stack From improving data quality to making sense of disconnected systems, this episode looks at how organizations can build stronger data foundations to support AI-driven decision-making. Join us as we break down how data consistency, structure, and signal activation play a role in making AI systems more reliable and actionable.

    44 分钟

  4. 3月30日

    Predictable Innovation Through Smarter Consumer Data

    Product innovation fails more often from misread signals than from bad ideas. On this episode of Deconstructing Data, we’re joined by Guy White, CEO of Catalyx, an international innovation consultancy helping global brands turn consumer data into predictable market success. For more than 14 years, Guy has led a global team of insights and innovation specialists working with many of the world’s leading consumer brands. Catalyx has generated billions in incremental value by helping companies secure and sustain product-market fit through structured, data-driven innovation frameworks. In this conversation, we’ll explore: 1. Unlocking Hidden Consumer Desires Through Data 2. Making Product Innovation More Predictable with Data 3. Data vs. Insights: Understanding the Difference 4. Tech Stack From capturing authentic human insight at scale to separating raw data from true strategic insight, this episode dives into how smarter consumer data reduces risk, strengthens product launches, and drives long-term growth. If you care about turning customer signals into successful innovation, this is a conversation you won’t want to miss.

    41 分钟

  5. 3月16日

    How Data and Delivery Are Reshaping Retail

    Customer expectations for next-day and same-day delivery continue to rise, while brands face growing pressure to deliver seamless, personalized experiences across every channel. Behind both of these trends lies the same challenge: strong operational systems and high-quality data. On this episode of Deconstructing Data, Jessie and David are joined by Martin Balaam, CEO and Co-Founder of Pimberly, and Keith Gorney, Head of Global Supply Chain Services at Pivotree, to explore how supply chain innovation and product data strategy are shaping the future of retail and e-commerce. Martin brings deep expertise in product information management and digital asset systems that power accurate product data across digital commerce channels. Keith contributes more than two decades of experience leading large-scale supply chain transformation and omni-channel fulfillment strategies for global retailers. Together, they’ll unpack how faster delivery models, stronger product data foundations, and smarter retail infrastructure are transforming both customer experience and operational performance. Topics include: 1. Fast Delivery Models: Transforming Supply Chain Operations 2. Product Data Foundations: Powering Effective Advertising 3. Next-Day Delivery: Shaping Retail Expectations 4. Product Data Quality: Enabling Personalized Customer Experiences From fulfillment networks to product data ecosystems, this conversation explores how retailers can combine operational speed with data accuracy to compete in today’s increasingly demanding market.

    45 分钟

  6. 3月16日

    Preparing Enterprise Data for the AI Era

    AI promises instant answers. Most organizations are still stuck on a more fundamental problem: their data isn't ready for it. Information is scattered across systems, locked inside dashboards, or sitting in databases that only a handful of people know how to query. The gap isn't really about access, it's about making data usable by the people who need it, not just the ones who can extract it. In this episode of Deconstructing Data, Jessie Lizak and David Finkelstein sit down with Connor Folley, Co-Founder and CEO of Alkemi.ai, to dig into how organizations can close that gap. Connor built Alkemi.ai to let companies securely connect their databases and query them through natural conversation, directly through Alkemi's interface or inside tools like Slack. No waiting on reports, no wrestling with SQL. Just questions, answered in seconds. The conversation covers: 1. Making Existing Data Usable for AI 2. Secure Self-Serve Data Access for Organizations 3. The Role of Data Analysts in the AI Era 4. Tech Stack From getting enterprise data AI-ready to navigating the tension between accessibility and security, this episode gets into how companies can stop leaving value buried in their own systems and start turning it into faster, smarter decisions.

    41 分钟

  7. 2月27日

    Driving Product Success with Unified Data Systems

    When product data breaks down, so does the business. Disconnected tools. Siloed teams. Inaccurate data. These are just a few of the reasons product launches miss the mark, before they even hit the market. On this episode of Deconstructing Data, David Finkelstein & Jessie Lizak are joined by Tom Shoemaker, VP of Product Marketing at Propel Software, to explore how a unified product data strategy fuels smarter decisions, stronger collaboration, and faster time to revenue. We’ll cover: 1. Product Commercialization Success: Accurate Data Matters 2. Enterprise Collaboration Through Product Data 3. Bridging the Product Data Gap: Design to Marketing 4. Tech Stack Tom brings deep experience leading product marketing, sales, and R&D teams, and he knows what it takes to connect the dots between engineering, marketing, and market success. If your teams build great products but struggle to launch them with impact, don’t miss this one.

    43 分钟

  8. 2月20日

    Super Bowl Advertising Through the Lens of Data

    The Super Bowl is more than a game. It is one of the largest cultural stages in the world for brands. Every ad carries signals about representation, values, and identity. The question is not just who made the best commercial. It is what those messages reveal about culture, audiences, and the brands behind them. On this episode of Deconstructing Data, Jessie Lizak and David Finkelstein are joined by Latha Sarathy, CEO & Founder of SALIENT HQ & Chief Research Officer at Videotape.ai, a research leader with more than 30 years of experience across media, market insights, and multicultural audience measurement. Latha has led research teams at organizations including Telemundo, CBS, Univision, and The Walt Disney Company, and now advises brands through a purpose-driven, data-led approach that blends human intelligence with advanced analytics. In this conversation, we explore: 1. Gender Representation in Super Bowl Ads 2. Audience Values and Brand Alignment 3. Measuring Cultural Impact Through Data 4. Tech Stack From understanding how representation shapes perception to examining how brands align with shifting audience values, this episode breaks down how cultural impact can be measured, interpreted, and acted on using rigorous research and data strategy. For leaders looking to connect brand storytelling with audience insight, this discussion offers a data-driven perspective on one of advertising’s biggest stages.

    36 分钟
查看全部 181 集

关于

Want to understand marketing data on a deeper level? Tune into Deconstructing Data to learn from BDEX and outside experts on how to use first-party data, target your marketing, and make your advertising as effective as possible.

信息

  • 创作者
    BDEX
  • 活跃年份
    2022年 - 2026年
  • 单集
    181
  • 分级
    儿童适宜
  • 版权
    © BDEX
  • 节目网站
    Deconstructing Data