Those days are gone. Now we have Point of Sale data (PoS), Retailer Depletion Reports, Google analytics data on our website, Facebook information, Twitter info, and that doesn't even mention our membership lists. Now, our customers are not just our neighbors, or people from across the town, but also across the world. Catalogs have been replaced by anonymous users on our website, email news letter clicks have replaced our flyers. And while, in effect, the data hasn't changed, there's just more of it and we don't have a lot of control of the form in which we receive it - as evidenced by this lovely artifact which shows what the original winery data looked like from one of the data sources.
No Gettin' Around 'Em
When folks get all data-sciencey out building Business Intelligence, they start spouting words which belong in a statistics class. Words like "Bayesian", "A/B Testing", "geocoding", "probabilities", "modeling", and "clusters" -- of of which make "Business Intelligence" sound difficult to develop and acquire. And if you're just beginning to get an inkling of what data analytics can do for your business decision-making, it is easy to feel overwhelmed at what would look to be a convoluted process. However, if you step back away from all the "techy" / "math-ey" / "code-y" -ness about Business Intelligence development, you will find that it's actually more like a supply chain for manufacturing. It's just that in this case, it happens to be Information instead of physical materials. These next few blog articles will take you step-by-step through a real world process.