Case Study
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Arcadian Health
Arcadian Health
Business Intelligence Road Map
Executive Summary:

Business Needs
Arcadian originated as a Management Services Organization and branched out to include a Health Plan, both of which serve several regions throughout the United States. Because of these sharp growing pains, most of their information was trapped in department and personnel-owned Access databases and Excel spreadsheets. While Arcadian understood the needs for business intelligence, they did not have a clear, focused plan on how to move from their environment of vendor-hosted, homegrown, and claims systems.

An overall understanding of the current environment, and future needs was necessary in order for the organization to begin to move forward in changing processes, system design, and overall organizational strategy. While data needs were understood at a department level, an overall corporate understanding had not yet been established. A clear road map to enable success in BI was needed, in order to mobilize the organization to move forward
Aviana's Solution
Arcadian engaged Aviana to do a full site and requirements assessment, in order to understand their current and future reporting and analytic needs, and to create a master project plan to enable them to successfully integrate patient care, patient population, sales and marketing and financial statistics. The assessment included an in-depth interviewing process, a review of the current processes and systems, and the current data, information, and analytic needs by the user community.

The document included the creation of a BI user community to assist in the development of organizational and departmental metrics, a review of metrics and dimensions that would need to be included, and map of implementation steps and a project overview to help support Arcadian’s needs
Benefits
  • In a complex environment such as a combined managed services organization and health plan, it is vital for all areas to understand current data usage, and current information extraction techniques.
  • Prioritization of tasks and the implementation of BI in three to four month phases allows for the data warehouse to be in use and being improved throughout the life cycle of the project, as well as breaks down complex goals into manageable milestones.
  • Applied Subject Matter Expertise assisted in realistic goals, and in the ability to see possible pain points early within the process, and integrated that knowledge into the project design, allowing for time for the organization to adapt current processes to support future data needs