This is a case study of an insurance industry analytics solution built with InetSoft's dashboard and reporting software - which can be used to access and report on any type of data, including insurance industry data.
Summary
This InetSoft client requested to remain confidential.
The client sought to create an end-to-end insurance BI solution which would provide insurance companies with access to and analysis of real-time data, so that insurance companies could discover trends and insights across their entire customer base.
The client wanted to build their solution from insurance industry standard data models (Acord & OMG) that include line-of-business details such as worker compensation. Incorporating these data models into the solution would allow insurance companies to do consolidated operational reporting and analytics.
This InetSoft client needed a flexible fully customizable business intelligence tool, from which the insurance analytics product they envisioned could be built.
InetSoft's flagship product, Style Intelligence, was selected as an OEM component for the client's insurance analytics solution. The area where InetSoft's solution really stood out was the level of self-service that the solution offered to non-technical end users, not just in the easy building and modification of dashboards and reports, but also in the capability to modify and mash up data using the InetSoft data worksheet. InetSoft's proprietary data worksheet puts the power of fast data integration and mashup into the hands of business users without having to wait on IT to integrate and massage new data sources.
The client was pleasantly surprised to find that if they chose InetSoft's tool for integration, their platform could give users the ability to merge and join data sources without having to create ETL processes or even write SQL in the back end. InetSoft's Style Intelligence offered these capabilities and it could also be hosted on premise, which is a preference for many insurance companies due to the sensitive nature of their data.
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