To build or not to build in house: A practical decision guide for data management in the AI era

Access this independent report from Bloor Research to better understand if building your own data management capability in-house is the right choice for your business, and where a purpose-built platform delivers more value, faster.

A balanced framework for the build vs. buy decision

Enterprises are seriously reconsidering building their own data management in-house, driven by agentic and generative AI that makes it feel more achievable than ever. Bloor Research set out to test whether that’s the right call.

The report dives into:

• Total cost of ownership and long-term predictability, beyond the initial build
• Time to production value and the cost of delay to AI initiatives
• Where building in-house genuinely makes sense, and where it doesn’t
• A practical framework across staffing, scalability, compliance, and AI readiness

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This paper reflects Bloor Research’s independent analytical perspective. Ataccama sponsored the research and contributed practical insight from customer and prospect conversations. The analysis and conclusions are Bloor’s own.