Are you ready to discover what drives data-fueled growth in today’s dynamic business landscape? In this episode of Predictable B2B Success, Zainulabedin Shah joins host Vinay Koshy for an eye-opening conversation on turning data insights into sustainable revenue and competitive advantage.

With over 18 years of experience modernizing analytics for powerhouse brands, leading billion-dollar portfolios, and scaling startups from zero to $70 million in revenue, Zainulabedin shares why he left the corporate comfort zone to found Zeed—and how he helps businesses of every size unlock the actual value hidden in their data.

You’ll get an inside look at the intersection of people, strategy, analytics, and AI. From uncovering overlooked call center revenue, to demystifying AI “fever,” to building scalable, people-centric data strategies, Zainulabedin offers stories and tactics you won’t want to miss. He dives into the misunderstood art of data governance, why humility in leadership is non-negotiable, and how to communicate complex insights to even the most skeptical stakeholders.

If you’re curious about how your organization can move beyond surface-level analytics and drive bottom-line results with data, this episode is packed with actionable wisdom and fresh perspectives. Tune in and get inspired to rethink your data-driven strategy!

Some areas we explore in this episode include:

• Zainulabedin Shah’s Career Path – Moving from corporate roles to entrepreneurship and his reasons for making the leap.
• Strengths in Relationships & Data Storytelling – Combining interpersonal skills with data analysis to create value.
• Aligning Business and Data Strategies – Why business goals must drive data and AI initiatives.
• Assessing Data Readiness – How companies can evaluate their ability to leverage data for growth.
• Pilots & Incremental Wins – Using pilot projects and agile approaches to build credibility and prove value.
• Champion Enablement – Finding and empowering internal advocates to drive data adoption.
• Common Challenges in Scaling Data Strategy – Issues like lack of strategy, inflexibility, and failing to pivot as needed.
• AI, Privacy & Bias – Addressing data privacy and bias with strategies like federated AI and diverse teams.
• Communicating Insights – Making complex data understandable and valuable for non-technical stakeholders.
• The Future of Data Strategy – Integrating data deeply into business strategy and preparing for ongoing change.
• And much, much more...