Insurance Claims Dashboard


The Insurance Claims Dashboard example here demonstrates InetSoft's user-friendly analytical dashboards, perfect for organizations in need of a customizable and interactive software to assist in everyday operations.

The particular chart below portrays some of the many tools that InetSoft carries in addition to featuring a multi-dimensional view on the data. InetSoft's solution provides users with a large collection of visualizations and charts to create dashboards that meet their criteria or are easy to analyze. Simplifying the process even further, the point and click environment allows users to easily drill down into their data sets by claim type, claim status, gender, and age for a detailed analysis.

With InetSoft's intuitive software, users can quickly build and analyze productive visualizations that sort, filter, and monitor the status of insurance claims and other relevant information while helping them keep track of and achieve long term goals and objectives.

Capabilities of an Insurance Claims Dashboard:


  • Monitor, explore, and analyze by filtering and sorting desired information
  • Easy to use, modify, and create charts and visuals
  • Leverage user-driven data mashup
  • Upload and sift through multi-dimensional data to spot trends and aberrations
  • Slice and dice data with simple point-and-click method
  • Share visual analysis with others

Insurance Claim Denials Dashboard Example

InetSoft's business intelligence application makes a good choice for these key benefits:


Easy
  • Enjoy a rapid implementation; minimum specialized IT expertise required
  • Experience a shallow learning curve for business users; only Excel-level skills needed
  • Make it easy for analysts & administrators; no SQL experience required
  • Scale up with zero-client deployment and no per-user licensing
Agile
  • Provide maximum self-service through ad hoc and visualization analysis
  • Enable self-service also at data level: end-user defined data mashup
  • Accommodate quick, formal, and experimental changes
Robust
  • Address advanced and mass needs
  • Run on a high performance, secure infrastructure

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