Insights on data, AI and digital strategy

Causes of failure of corporate data projects: cloud infrastructure overcost, technical debt, lack of governance and data-driven strategy.

June 19, 2026
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Why Corporate Data Projects Fail and How to Avoid Infrastructure Overspend

Why Corporate Data Projects Fail, and How to Avoid It An analysis of the real causes that turn promising projects into costs with no return Summary Most corporate data projects don’t fail for technical reasons. They fail because the problem they’re trying to solve isn’t well defined, because the infrastructure…

Enterprise chatbots: how to integrate them with your data

Generative AI

Beñat Galdós

June 12, 2026
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Enterprise chatbots: how to integrate them with your data

How to integrate chatbots and agents with enterprise data The promise is simple and powerful: a chatbot that knows everything about your company, answers team questions in seconds, and reduces the load on support teams. The reality of building it is quite a bit more complex, but also more manageable…

Data Governance

Beñat Galdós

June 5, 2026
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Data Governance Tools: A Guide for CDOs

Data Governance Tools: A Guide for CDOs Who Need to Choose Wisely Technical Comparison of Current Stacks Summary: Choosing data governance tools is not about picking the platform with the most features, it’s about identifying which problem the organization needs to solve first: data discovery, quality, lineage, access control, regulatory…

Why Corporate Data Projects Fail and How to Avoid Infrastructure Overspend

Enterprise chatbots: how to integrate them with your data

Data Governance Tools: A Guide for CDOs

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