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Setting expectations in data science projects

How is it even possible to set expectations and launch data science projects? Data science projects vary from “executive dashboards” through “automate what my analysts are already doing well” to “here is some data, we would like some magic.” That is you may be called to produce visualizations, analytics, data […]

Living in A Lognormal World

Recently, we had a client come to us with (among other things) the following question: Who is more valuable, Customer Type A, or Customer Type B? This client already tracked the net profit and loss generated by every customer who used his services, and had begun to analyze his customers […]