How to help stakeholders own and maintain their own data assets

Who owns and maintains these data assets, be it the product metric tree or the overall North Star data? Naturally and should it be a more technical biased organization, but curious to understand the headcount resources that you allocate to designing, building, and maintaining these from ingestion to data warehouse through to count. Does that make sense? Adam, maybe I just pointed at you a bit, like, maintaining all these different, metrics across the company wide and then individual departments. Sure. Yeah. So, I think, you know, in terms of ownership, what's really nice is that we can give ownership out to, you know, the true metric owners. So, you know, it's no coincidence that we've got David and Andy here. They're both our kind of gold-star success stories from data in terms of, you know, Andy turning up on saying saying, look: here's the product metrics tree I made with the, with the warehouse models and the dbt models. And David, you know, shortly after joining as we've recounted, you know, saying here's the metrics catalog. Here's where it made. And, you know, being able to turn this out themselves. In terms of, like, our structures, data team, we're three people, you know, within a fifty, sixty person business. So, fairly lean, and we do kind of span that role of, you know, taking people from triage to the engineering of the models all the way up to then helping them analyze the results of those models and put them in context. So I think that helps. But, yeah, as much as possible, we try to put the onus of responsibility and and making sure that people really understand how those metrics are made because they're taken all the way through that process, end to end, on the, yeah, the the department, leaders or, you know, whoever is responsible for those.