Access and Feeds

Unstructured Data: Processes Shift from Transactional to Data-Centric

By Dick Weisinger

Data has vaulted to the thing that businesses now say is the most important for their companies, after customers and employees. Increasingly businesses are being swamped with the collection huge amounts of unstructured data.

Piysh Kumar Chowhan, CIO at Arvind Lifestyle Brands, said that “the ability to merge structured and unstructured data into an Analytics Platform and be able to generate cohorts effectively is a challenge in today’s landscape. There is sudden surge of data and ability to manage the same and generate meaning out of the same is a challenge.”

Kiran Bhageshpur, CEO of Igneous , said that “we are witnessing a shift from transactional workflows to data-centric workflows. Machine learning workflows, for example, start with massive amounts of data and then rely on a high-volume flow of data to fuel critical decisions. These new data-centric workflows create great value as well as tremendous amounts of unstructured data that is retained longer.”

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