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Can the P&C industry handle big data?

Data has evolved toward metadata that may live outside of a data structure, non-relational or unstructured data, and social metrics that now present actionable data into what the market and your potential customer base is doing.

By Andre Nieuwendam | Updated on September 02, 2014

One of the greatest challenges to any company is the inability to aggregate data and content in such a way that it becomes truly meaningful. Let’s face it, business and data analysts face an increasing challenge when it comes to dealing with data and content sprawl across the enterprise. This leads to glaring inefficiencies in reporting, operations, underwriting, claims management, and the list goes on and on.

While many companies have sought solace by purchasing large scale data marts, warehouses and top of the line reporting tools, many companies lack the expertise or personnel who truly know how to use them. That, coupled with an increasing number of data types, repositories, content types, and in some cases, terabytes and petabytes of unsegregated data, has caused companies to flounder when it comes to efficiency in reporting and identifying meaningful trends in their business.

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