Why and How to Prioritize Transparency In Data Modernization Projects
Editor’s note: Updated July 2026 to reflect current industry context
Transparency In Data Modernization Projects
When businesses hire consultants to help implement an AI or data modernization project, their main goal is to achieve whatever outcomes they hope to realize via the project.
But that doesn’t mean a good consultant simply completes the project and delivers the results. On the contrary, successful AI and data system modernization projects involve extensive transparency and reporting between consultants and customers.
And I’m not talking here about periodic check ins or updates. I mean establishing a systematic approach to keeping customers informed at all stages of the project – and being open with them when challenges arise, as they inevitably will.
Allow me to explain, drawing on my experience helping manage complex AI and data science projects for Indicium, a data modernization consultancy.
Why data projects require transparency
When my team begins an...
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