Insurance Analytics and Data Mining Software for the Insurance Industry


Insurance analytics and advanced data mining software provide the answer to insurers striving for profitability and growth in a competitive and challenging business environment. It is more critical than ever for executives to fully understand their business, and to make strategic and tactical decisions accurately and quickly. There is no room for error or hesitation. The enormous amounts of data that insurers have amassed include a wealth of valuable insights that can contribute to their top and bottom line results.

Traditional data mining software requires "structured" data in order to be effective. Most insurance data is "unstructured." As a result, it sits dormant and has been inaccessible to data mining software for business intelligence purposes. The opportunities for profitability and competitive advantage are lost.

Full Capture Solutions, Inc. (FCSi) brings innovative insurance analytic and data mining software technologies that aggregate and extract value from ALL insurance data regardless of its structure, form or source. As a result, insurers' dormant data is transformed into a valuable corporate asset.

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Insurance Analytics and Data Mining Software Solutions

Semantic 360 Data Mart - Searchable, multi-media and multi-level data marts that serve as platforms for business and insurance analytics and optimize the value of unstructured data through advanced insurance analytics and data mining software technologies.

FCSi Search - Using our data mining software, FCSi Search is a "Google-like" search engine that allows ad-hoc and bookmarked searches of structured and unstructured Semantic 360 Data Mart content.

FCSi Reporter 360 - A report-writing application that sorts and categorizes structured fields in the Semantic 360 Data Mart content and allows users to create customized reporting and data extraction routines.

Semantic Model Applications - A suite of customized insurance analytic models that develop actionable insights and intelligence from insurance data. These applications utilize semantic technologies via data mining software against unstructured data to create meaningful semantic clusters.