Knowledge high quality: the catch-all time period for enterprise logic, reliability, validity, and consistency
Conversations about knowledge high quality could be troublesome, particularly when the elephant within the room is an underperforming product.
Conditions the place these discussions play out usually embody upset stakeholders, pissed off product managers, and misunderstood engineers.
Acquainted phrases would possibly bounce off the partitions, together with:
- “repair the info”
- “discrepancy”
- “knowledge validation”
- “belief”
- “knowledge high quality”
However there’s a pressure at work stopping people from arriving at a standard understanding. Phrases are being spoken, but for some motive they aren’t touchdown. Studying between the traces of what every individual says, it’s clear a number of definitions of “knowledge high quality” are at play.
The that means and implication behind the phrases is completely different for every individual. The validity of the workforce’s collective expertise and perspective is undermined as they proceed to speak previous one another. The clock retains ticking and so they ultimately exit the dialog and not using a clear decision.
That’s fairly the pickle, and it’s a standard theme in knowledge merchandise.
The phrase “knowledge high quality” is broadly used and might imply various things to completely different individuals. Let’s kick issues off with a subjective definition of this time period from the angle of the three archetypes launched above: stakeholders, product managers, and engineers.
Stakeholders: let’s assume these are much less technical individuals who work together with knowledge merchandise (like dashboards) of their day-to-day operations. To them good knowledge high quality means the knowledge precisely displays the real-world processes they work together with. Once they see a dashboard their first thought is to obtain/export the info to a spreadsheet to allow them to reconcile the numbers in opposition to different recognized portions they belief.
Product managers: the first concern right here is that the numbers in product x match the numbers in product y and inform a cohesive story. If the numbers match throughout…
