The State of BI

Journey through BI

1) Perspective (where we are at now)

2) Predictive

3) Prescriptive

1) Compiling raw data into useable format – multiple disparate sources / multiple business users / multiple disciplines. Company-owned data (or data from vendor who compiles company-owned data [Nielsen/IRI]) not industry or third party data. Analysis = what happened.

2) Mass data load and analysis through advanced software packages – Python / R / SAS. Data mining. Regression Analysis. Forecasting probabilities and trends. Industry-wide data sets.

3) Application of mathematical and computational sciences. Decision Engineering. Predict what will happen; suggest decisions; display effects/implications of those decisions and explain why all of that did happen or will happen. Additional data includes non-industry specific sets – weather,  consumer sentiment, home-buying patterns, etc.