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Here is how we might differentiate the two.
All forecasting involves making a prediction, but not all forecasts are based on Big Data. Using historical data to make a regional forecast for most companies would not require Big Data. Forecasting demand at the store level probably would.
The more inputs, the more granular the data, the more granular the forecast, the more we are in the realm of Big Data analytics. In short, when I hear predictive analytics I am apt to think this is a forecast based upon Big Data.
In logistics, we have not seen all that many examples of Big Data analytics.
That has changed.
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