Many organizations run data science teams as separate silos of activity. These teams focus on gathering, cleaning and querying unstructured or “big” data, but they rarely touch data from transaction processing systems and corporate business processes, and might not even be members of the IT group. These “siloed” data scientists and analysts in analytics labs could soon be a thing of the past thanks to digital transformation.
Companies are digitizing virtually everything—from digital renderings of closets full of paper-based documents and photos to videos, CAD documents, social media feeds and voice recordings—and creating vast troves of unexploited and unstructured data.
As organizations invest in converting and storing all of this data in digital formats, they also expect returns from the investment. Minimally, they want to plumb this data for information and insights that can help their businesses.
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