It’s the title of a book. But is it also a deeper observation about what it takes to put good business intelligence in place? Behind this apparently innocuous catch-all pairing (if it isn’t art and it isn’t science, then… it must be religion), there’s a message for those who care to look. Business intelligence today is largely characterized by an analytic approach that involves capturing data, analyzing that data and arriving at a logical conclusion. It’s neat and ordered, and runs in software. Randomness sometimes only seems to come in when analysis runs out of steam or as a qualitative safety-barrier, in case the quantitative side is taking us over a cliff. Science first, art afterwards? Why not both art and science at the same time?
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The art & science of business intelligence
Sean Salleh
Sean Salleh, a data scientist is experienced in guiding marketing strategy, forecasting models, scenario planning models, and algorithms. He has a master's degree in Operations Research from UC Irvine and Mathematics from Northeastern University.
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