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Unit 9: Advanced Dimensional Design




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             there is a need to utilize information to predict and manage expenses, making it feasible
             to provide the most comprehensive benefits packages possible to members at a reasonable
             cost. PMP Inc’s Information Services Project Manager, John J. Burns, PMP describes how
             the company relies on efficient access to data: “From a production point of view, we’re in
             the claim adjudication business. We need to determine which type of claim or which types
             of providers are submitting claims requiring the most effort to adjudicate.”
             To access their data, PMP, Inc. relied on traditional reporting mechanisms and practices
             which are heavily dependent on Information Services (IS) resources. John J. Burns provided
             insight into the common maintenance and development of reports. “Reports that were
             developed internally by IS staff or canned system reports not customized to our specific
             needs were run using the same transactional database that was being used in production.
             There were times when this would severely affect system performance.” This impact on
             the production system was most evident at the beginning of the month, when most reports
             are run, and resulted in the production system being brought to a crawl. The drain on the
             IS resources was also significant due to the amount of time needed to create custom
             reports or modify existing reports, decreasing the amount of time IS staff had available to
             devote to other projects.
             The Solution

             When looking into reporting solutions, PMP, Inc. was concerned about some of the issues
             associated with maintaining large sets of data in a data warehouse environment. Through
             his experience with the MultiValue community, Burns was aware of MITS products and
             the advanced reporting and analytics MITS Discover offered. MITS Discover presented a
             way to access near real time data without need for a dedicated data warehouse. During
             further review of MITS Discover Burns realized “[the] Discover hypercube concept
             eliminated these concerns. We [also] anticipated that the browser-based interface would
             reduce training time and combined with the ability to export directly into a spreadsheet
             or Adobe PDF documents would empower the end user and not burden the limited
             resources of our IS Department.”
             PMP, Inc. wanted to find out what types of claims were costing the most to process and
             who was filing them. Additionally, they needed to perform comparative analysis, such as
             differences between geographical regions, average cost per claim type and cost per claim
             by each of their submitting providers. Burns worked with a MITS Product Specialist to
             design and implement their first set of Hypercubes to provide this analysis.

             As a result of past experience, Burns mentioned, “often a solution based on how a product
             functions is offered or even forced on a client.” He did not find this to be the case with
             MITS and was impressed with the amount of time the MITS staff took to understand PMP’s
             business processes and unique needs. He went on to say, “MITS took the time to thoroughly
             comprehend what we hoped to accomplish and how MITS Discover could meet most of
             those needs. [The MITS Product Specialist] also clearly stated what the tool was not designed
             to do, and knowing that actually helped us get exactly what we required out of the design
             of our Hypercubes.”
             The Results
             While the rollout of MITS Discover to the majority of PMP’s users is still in process, they
             are currently using MITS within their Claims, Fraud and Abuse, Utilization, and IS
             departments. One example of improved access to data is in their Turnaround Hypercube.
             Claims have a 30 day turnaround for payment and with this Hypercube they are able to
             identify where outstanding claims stand in their queue. Most claims are adjudicated

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