diginomica enterprise data health research - the data is broken and everybody knows it

Earlier this week, diginomica and Maureen Blandford of Serendipitus published the Enterprise Data Health Study – independent qualitative research based on 18 frank conversations with senior enterprise practitioners who spoke under total anonymity. We invited our partners to respond on the record.

What follows are responses in full, verbatim and unedited, alongside some observations about what the pattern of engagement reveals. All contributors are diginomica partners; readers should weigh that context accordingly. What's important is not just what they said, but how closely it maps to what practitioners told us in private – and in one case, how much further it goes.

A tax that compounds

The finding that landed hardest with respondents was what the report calls the verification tax – the invisible organizational cost of rebuilding, reconciling and rechecking data before anyone will stake their reputation on it. Several respondents didn't just validate it, but extended it.

Raju Malhotra ...