The question that needs to be asked is when everyone can create their own dashboard, are they all looking at the same information and in the same way so that they can be aligned?

One of the biggest issues I've seen in this kind of environment is that there are 50 dashboards, created by different people, and the data presented on them hasn't been validated to ensure that the data is correct and pulling from the same location. It's not clear that the data can be trusted and it's not clear what the authoritative source of truth is.

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aurareturn 18 hours ago | parent [-]

I don't think most people are that naive.

IE. They know what they're looking for. They know when the data is right or wrong because they've seen it from other places here and there over time.

When they're not sure and the risk of getting it wrong is costly, they'll find the data analyst to verify.

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thepryz 15 hours ago | parent [-]

All I can say is that my experience suggests they are that naive because in a fast paced environment, there are often people pulling data without the context to validate it and the push to move faster and faster means proper validation isn't happening. Often it's only discovered after someone who does understand begins looking, asking questions and the errors become known and by then, it's too late.

I've seen it firsthand, multiple time and while anecdotes aren't data, conversations I've had with peers at other companies suggest they have similar experiences.

	▲	ethbr1 12 hours ago \| parent [-]
		I'd second that. My experiences, across multiple companies, are that data validity risks are drastically increased by someone not diligent & knowledgeable about implementation details. Furthermore, that persona is also often incapable of self-checking and recognizing errors in their presented data, because they don't know how it was generated in the first place.