Think of Your Data Like an App Store — Not a Help Desk

Data is everywhere, but access to it doesn’t always translate to value. Organizations have invested heavily in collecting data and deploying analytics platforms; however, for many teams, day-to-day reality still resembles a flood of ad hoc requests and delayed roadmaps. That’s where data productization comes in, not as a buzzword, but as a practical approach

What If Your Data Had a Storefront, Would Anyone Walk In?

Organizations today are sitting on more data than ever before, yet access to this data remains a persistent challenge. Teams often spend more time searching for data—or recreating what’s already available—because the path to existing assets is unclear. This isn’t a problem of infrastructure but a problem of experience. Data productization offers a new way

Curb Appeal, A Good Foundation, and Avoiding Expensive Makeovers in Your (Data) Lakehouse

Good foundation for data lakehouse

I love home improvement, DIY blogs, and a good ‘rags to riches’ renovation. This blog isn’t about that. This is about my other love, data, and the ways in which organizations can continue to use data structures to save time, money, and resources while elevating their employees to higher levels and more rewarding tasks. This


Where Will You Take AI with Data?

Deliver AI That Gets Adopted.

Build Data Products. At Scale.

Use Data Governance to Fuel AI.

Ensure Trusted, Explainable AI.

Launch a GenAI MVP. Prove Value.

Let’s Talk. No Pitch. Just Strategy.

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