I work at a place where data quality is not on anyone’s radar. We have a reporting team in our group so we do our best where we can, but combining any datasets with other groups (like marketing & sales) is next to impossible as each team is silo’d and do things their own way - think free-form text fields to tag content…
How can I politely and succinctly say the above? Also, anyone else in a similar boat?
Implementation of AI requires strong unified data governance and data hygiene to produce company wide strategic solutions. The current company posture instead is focused on tactical level data collection and analysis which does not lend itself to consumption in relevant possible cross-department opportunities.
And if you want to tank it without overtly tanking it.
“We will need to establish a review and governance board to establish standard data structures and reporting that can be used to drive the initiative.
It will need to be cross team and cross specialty so we should start by establishing a group to identify those people so we can proceed”
A year later and you’ll be lucky if they’ve even picked out who can be part of the review process let alone agree on some convention and adjusting their tooling and processes to make that work.
