Or: How perspective changes when you’re the one asking the questions Four years ago, I would have rolled my eyes at myself. Hard. Back then, on the data team, I had strong opinions about the right way to access data. Product managers who wanted to query the production database replica instead of using our carefully crafted data warehouse? They were wrong. They were bypassing all the work we’d done to clean, validate, and structure the data. They were missing the forest for the trees, aski...| Locally Optimistic
How a revolution comes together. Or doesn’t.| benn.substack.com
Executive Summary We want our work to be impactful and used by stakeholders; we keep hearing that developing data products is the answer. Here’s a step-by-step guide on how to get there. Successful data products help our collaborators decide how to improve the company’s health. To do so, before any development starts, we first need to have a shared understanding of the context around: why something needs to happen (e.g., our objective), what specifically needs to happen (e.g., our outcome...| Locally Optimistic
Mature data practitioners leverage their technical skills to maximize impact. Learn to work smarter, not harder.| Locally Optimistic
Last year, Emilie Schario and Taylor Murphy proposed this wonderful idea of “running your data team like a product team”. The key premise of the article was this: product teams have a lot of great practices that data teams would benefit from adopting. But somewhere along the way, we lost sight of this point and happily replaced it with strawmen. Let's discuss how to run your data team like a product team.| www.hyperquery.ai