Episode Description
If your organization burned to the ground tomorrow and you could save one thing, what would you save? The most strategic leaders always give the same answer: the data. Everything else can be rebuilt — the data is irreplaceable. So why do most organizations treat it like a filing cabinet?
In this episode of What Comes Next, former Microsoft Data & AI executive and Tipsora founder Arunansu (Arun) Pattanayak makes the case that the most valuable thing you can do with your data isn't analyzing it better — it's productizing it. With the global data monetization market projected to exceed $700 billion by the end of the decade, the organizations that treat data as a business are building competitive moats no one can copy.
You'll learn:
- The critical difference between data analytics and data as a business — and why so few companies make the leap
- The three patterns that keep organizations from monetizing their data: they don't see it, they overestimate the regulatory risk, and they lack a framework
- The three types of data products: insight products (think Bloomberg terminals and credit bureau reports), benchmark products, and platform products (the AWS model)
- The five-step data productization blueprint: data inventory, value mapping, compliance architecture, product design, and go-to-market
- Why governance for monetized data is different from internal data governance — re-identification risk, contractual obligations, and multi-geography regulation
- Your one action this week: the whiteboard exercise that starts everything
If you lead data strategy, product, or P&L in any data-rich organization — especially financial services, healthcare, retail, or logistics — this episode is your starting blueprint.
Next episode: AI and the future of work — the strategic version, not the fear version.
data monetization, data products, data as a business, data strategy, data governance, enterprise AI, data productization, revenue from data, chief data officer, data compliance, agentic AI, competitive advantage, digital transformation