Like me, I’m sure you are working on complex challenges when it comes to data. Multi-petabyte data warehouses. Multi-touch, cross-channel attribution analysis. Media mix modeling. Predictive analytics. Human-centric analysis. Oh, and let’s not forget the application of machine learning to every facet of your work. It is genuinely fun to work on these opportunities. They’re difficult, and every step forward offers a renewed sense of excitement and inspiration. Despite the joy in these high-level, forward-thinking initiatives, I’ve disciplined myself not to let the unsexy fundamentals go overlooked. I’m particularly vigilant about avoiding friction in the core systems that facilitate the…
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Analysts, honestly, make the world go round when it comes to any successful business – yes, data is that important. As you might expect from any role, they also make a handful of important mistakes. I’ve written about the biggest mistake web analysts make. Today’s post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports!