9_16 Short - More Clarity = Better Problem Solving

Like the virtuous cycle rather than the vicious cycle of pumping data and data and assets in business to confuse them. The more you pump in clarity, which means, like, less assets, basically, the better the question, the better inform the business is, and the better they're they're using you to ask questions. So a key idea here is back to the second tenet of solving business problems, is a large number of the ad hoc request the data team receive is not actually about solving problems. It's about understanding what's going on. So instantly, if you give clarity, you're dropping them out of the price you're getting, and you're getting a higher higher proportion of, I wanna solve this problem. Help me, please. And that's where the data team can then drive value. So the second tenant, solving business problems, as I said, this is probably not a surprising tenant to many, data people. They wanna solve business problems. They wanna get stuck in there. The big lift is understanding that the better you're clear of operational clarity perspective, the easier this is to be there is this is to do. And the second big leap is to recognize that either data team can do more to own the problem solve. Right? So rather than just, answering questions the business asks of you, where the the problem solve structuring is in some some stakeholder's head and you can't see it and they're not necessarily clear because they've got a million things to do, the more the data team can take ownership of the problem, structure it for the business, help them understand it again, clarity again, and then get to an answer and to facilitate the problem solving, the structuring of that problem, not just be the that they ask without much, without understanding why, that's a huge lift to the business.