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Articles tagged with #data-science
Introduction In numerous blog posts, industry experts often emphasize "trust" as one of the most important success factors for a data team. And there’s a good reason they bring it up so often. For a data team to deliver value, stakeholders must trust...
Introduction As an instructor for data professionals, I often find myself in the awkward position of being asked questions that don’t have a clear answer. For example, an aspiring data scientist once asked me, “What’s the difference in day-to-day tas...
Introduction When I landed my first job in Data, I didn’t actively choose the type of team or their technical expertise. I was already an internal employee, and I simply trusted the people around me while having the confidence that I could succeed. I...
Introduction "Building things that really matter." Nice slogan, right? But if you work in data, you probably know that it’s not that simple. So many of us build dashboards, reports, or tools that get hyped at first… then, weeks later, we realize they...
Introduction I have spoken about it before, but I would like to write a post regarding the importance of building Data Products. Instead of simply delivering platforms, reports, or dashboards, we should focus on building Data Products. A Data Product...
Introduction In my experience across various industries, one of the most common and challenging issues I've encountered is the quality of requirements. Whether you're tasked with delivering a data pipeline, a data model, or a dashboard, poor requirem...
