More organizations are investing in big data and unstructured data environments, but many of these projects remain in the area of “innovation,” meaning that the intended ROI is not always clear. Even when organizations don’t have a specific goal or use case in mind, there’s a general understanding that the ability to process and analyze unstructured data will provide value over time. Like any large technology undertaking, it’s important to provide some key benefits sooner rather than later in order to convince the business to choose to fund the work.

Any big data effort intends to consume data, both structured and unstructured, into a new type of data environment. (In fact, some insurers have utilized big data technology to ingest mostly the structured data from their disparate core systems.) This idea of “ingesting data” isn’t simple (despite the message put forth by many vendors) and it can be disappointing when an insurer realizes some of the complicated data mapping efforts they know from the relational databases are still required.

Register or login for access to this item and much more

All Information Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access