To build or not to build

A practical decision guide for data management in the AI era

To build or not to build
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Published On 27th, Aug 2026 Content Copyright ©
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Classification

Five years ago, the organisations most likely to build data management in-house were smaller companies or those with highly specialised, narrow requirements. Today, the profile has changed materially. Some of the largest enterprises with the most sophisticated data functions are now seriously evaluating in-house builds.

This paper provides a practical decision framework. It acknowledges that building in-house can be the right choice in specific circumstances. It also demonstrates where the hidden costs, risks, and opportunity costs of building typically outweigh the benefits, particularly when AI velocity is high and time to value matters.

Research By

Bloor Research

Related Technologies

  1. AI
  2. Data Governance
  3. Data Quality
  4. Data Security
  5. Data Integration
  6. Information Governance and Data Security
  7. Trust in Data

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