Knowledge high quality: the catch-all time period for enterprise logic, reliability, validity, and consistency

Conversations about information high quality could be tough, particularly when the elephant within the room is an underperforming product.

Conditions the place these discussions play out usually embody dissatisfied stakeholders, annoyed product managers, and misunderstood engineers.

Acquainted phrases would possibly bounce off the partitions, together with:

• “repair the info”
• “discrepancy”
• “information validation”
• “belief”
• “information high quality”

However there’s a power at work stopping people from arriving at a standard understanding. Phrases are being spoken, but for some cause they aren’t touchdown. Studying between the traces of what every individual says, it’s clear a number of definitions of “information high quality” are at play.

The which 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 they usually finally exit the dialog with no clear decision.

That’s fairly the pickle, and it’s a standard theme in information merchandise.

The phrase “information high quality” is broadly used and might imply various things to completely different folks. 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 information merchandise (like dashboards) of their day-to-day operations. To them good information high quality means the data precisely displays the real-world processes they work together with. After 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 identified 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…