How to Turn Your Data into a Product and a Revenue Stream
2026-07-06 · 12 min · 12 entities
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Link in episode "How to Turn Your Data into a Product and a Revenue Stream": https://amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC
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Link in episode "How to Turn Your Data into a Product and a Revenue Stream": https://amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC
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Link in episode "How to Turn Your Data into a Product and a Revenue Stream": https://amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC
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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
Support the show
Arun's book, Future Proof Your Business:
https://www.amazon.com/FUTURE-PROOF-YOUR-BUSINESS-Strategic-Framework-ebook/dp/B0H8MKQTKC