There actually is such a thing as “too much data”
Every tool touts having the best data or integration capabilities. In the end, you’ll find your org is overloaded with different datasets, definitions, and unclear connections.
I made the mistake of flippantly using the terms p-value and z-score as something that would not be surfaced to end-users’ dashboards and it derailed the conversation into “we should score things!”
🤦♂️
Chat GPT explained:
It’s like a politician. It will give you an answer but that does not mean it is true or even relevant. It is up to you to figure it out.
API is the new magic phrase.
-Let’s get the API for that
-This vendor has an API for us
-Just sync it with an API
As if there is no QA and that the data actually makes sense, conforms to attribution rules sets, and documentation is clear.