|
 |
|
 |
|
|
| Arcadian Health |
| Client |
Arcadian Health |
 |
| Project |
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 |
|
|
|
|
|
|
|