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Showing posts from March, 2023

Analytics and Machine learning

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Analytics and machine learning Ask anything thread, here's reader's question: Have we reached a point/have you seen anybody be successful / have you seen anybody really try to build a data lake of customer information and use machine learning to derive correlations from it? All I'm looking for is a tool and a data set that will say: It turns out people buy more stuff online when it rains is this correlation [x] Worthless ? [ ] Curious? [ ] Interesting? [ ] Fascinating? [ ] Actionable? The data suggests that sending email #256b after customers of type 83h have viewed product 87254 results in a 298.4% increase in sales. IS this correlation [ ] Worthless ? [ ] Curious? [ ] Interesting? [ ] Fascinating? [ X ] Actionable? Are we getting any closer to turning that corner?? It's a great ask and gets to what is perhaps the central issue around analytics and analytics technology in the enterprise; namely, what's the role of the analytics warehouse and how seriously should we...