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There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Datapresentation! You want to show them all data stuff and how much you worked and how cool your technique was. Bring insane focus, and simplify. #3.
Custom reports allow you to deeply focus (by eliminating the rif-raf metrics and dimensions, they save time and show just what you want). Many custom reports are wrong because we mess up the fundamental data model in analytics. Key Metrics: Map Overlay Visualization. Your business is unique. Social Media Performance Analysis.
I love frameworks because they achieve the incredible in that they allow you to teach people how to think, rather than giving them a fish. " When I started to think about this latest framework, here's what I was trying to solve for: * We talk the customer centricity game, but we rarely walk it. Why build a framework?
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Like a vast majority on planet Earth, I love datavisualizations. There is something magical about taking an incredible amount of complexity and presenting it as simply as we possibly can with the goal of letting the cogently presented insight drive action. Datavisualized is data understood.
Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. Don't fragment data, don't forget higher order bits. The end result in all these cases is that data efforts come to naught.
I believe deeply in the value of making data accessible. In service of that belief, there are few things that bring me as much joy as visualizingdata (smart segmentation comes close). In this post I want to inspire you to think differently. I’ve curated sixteen extremely diverse visualization examples to do that.
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