How can one use unstructured data for forecasting purposes? (by unstructured, I mean unstructured in the database sense).
I have a forecasting system that uses historical data and a set of additional explanatory features to forecast demand. In terms of databases, this is as structured as data can get.
I've heard mentioned in several places that big data and unstructured data can be used to improve demand forecasts.
But when I dig into the details, it seems that they always end up reducing the unstructured data to some structured format first, then feed it to whatever forecasting method they are using. They aren't using "true unstructured data".
How can one use true unstructured data in a forecasting algorithm? Any publications, references on this?