Modernize Data Architecture to combat Insurance fraudulent claims
Data continues to grow in both volume and formats across multiple deployments, performing analytics has become more complicated. And with the less advanced IT systems or traditional data warehouse Insurance organizations are unable to deal with critical situations and incidents that create an immediate need for data to be analyzed, produced and preserved.
Therefore, Insurers are finding that they must creatively explore how to harness external data to remain competitive, to convert new opportunities for growth and to achieve improvements in the fraud claim loss ratio. All this has given rise to the "data lake"-a data management architecture that allows organizations to store and glean insights from this diverse data (structured and unstructured).
This eBook details how modern data architecture with data lakes combat fraud claims, including:
Download the eBook to explore how a data lake can help you to unfold fraud claims by capitalizing on a broader variety of data (structured and unstructured) and reach smarter, data-driven decisions.
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