Data into Profit

Every company has at its disposal a huge amount of unstructured data, in separate silos, processed for different reasons, and the hope of mixing it all with a sprinkle of artificial intelligence, thanks to the gurus who are the data scientists, is often misplaced.

The dream of transforming this data into profits never takes into account analysis and time required. Quality, noise and reliability of sources over time require a long preparation. It often happens that these professionals find themselves doing much trivial and boring things, such as cleaning up data and formatting time series.