Predictive analytics should not be part of your initial BI system deployment. When you have finished building the BI system workflows and data warehouse, you have established the foundations for predictive analytics. Predictive analytics uses machine learning and artificial intelligence (ML/AI) applied to historical data...
One challenge in building analytical models involves separating signal from noise. Signal describes the patterns we consider “real” in the sense that we believe they reflect a true relationship between the factors we’re analyzing. For instance, if our data indicates that a person’s height is...
Predictive analytics is more than just dragging and dropping tools in to your workflow. Predictive analytics drive business critical decisions and help us analyze real-world problems like customer churn, recommendations and targeted marketing campaigns. Alteryx simplifies the process of training predictive models but you want to...
Consultant Alex Lentz and Alteryx Ace Michael Treadwell join Ben to talk about what predictive analytics is and philosophies and techniques for taking your data to the next level with R and Alteryx. Subscribe to Podcast Your Data through iTunes, Stitcher, Pocket Casts or your favorite...
It’s 2003, and the Red Sox haven’t been to the World Series since 1986 and haven’t won a World Series since 1918. Here, at this moment, in the 8th inning of Game 7 of the American League Championship Game against the hated New York Yankees, a...
In February, I had the opportunity to attend the Innovation Enterprise Predictive Analytics Summit in San Diego, Calif. The conference lasted two days and featured data scientists from some very recognizable companies like Facebook, StubHub, BuzzFeed and eBay. The talks ranged from how to detect...
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