d-Wise builds analytical data marts (ADMs) that allow analysts to spend their time analyzing the business instead of gathering, standardizing, and consolidating data.

Due to competitive market forces and a new regulatory landscape, there has been a wave of mergers and consolidation in the health insurance industry. Health plans face a multitude of challenges with each of these mergers or consolidations. The primary problem is integrating data from various systems and regions onto a common platform.

Actuarial, medical-management, and finance departments need quality data delivered in a timely fashion to support financial decisions and manage the risk profile of their member base. Often, these departments find themselves struggling to just get the data and waste so much time doing so that they have very little time left to analyze the business appropriately and rigorously.

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Analytical Data Marts

Analytical Data Marts - The d-Wise Healthcare Practice solves this problem by building analytical data marts (ADMs) that allow analysts to spend the bulk of their time analyzing the business, instead of gathering, standardizing and consolidating data from disparate sources. The d-Wise Common Platform for Actuarial Analysis is built to provide a robust, reliable, and reproducible data source that is refined and fully integrated. The practice combines extensive domain expertise in data warehousing and Actuarial sciences, to provide clients with a comprehensive, powerful solution to their data needs.

 

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Functional Data Mart

The purpose of a functional ADM is to integrate multiple sources of internal (detail, summary) and external data to answer a specific question(s) or supply leadership with targeted explanations to business problems.

 

 

 

Analytical Data Mart

Departmental

The purpose of the departmental ADM is to integrate multiple sources of detail data used for the various analytic needs of a department.

 

 

 

 

 

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Metric

The primary focus of a metric ADM is to tie information classes together to continuously monitor operational performance. By tying all of this information together, it is possible to get a holistic view of how processes impact customer perception, and in turn, affects financial performance.