The Commoditization of Analytics

This is an article that argues that since analytics are based in long-standing math concepts they should be treated as a commodity. Hence, the difference in analytics is not the software vendor but:

1. The domain knowledge of the company doing the implementation of any decision-support system.
2. The total cost of the implementation should consider Software-as-a-Service as an alternative to reduce costs.
3. Visualization of analytics is an important component when dealing with large datasets.

This particular point of view is targeting the CFO and CIO from companies that are under pressure to deliver cost-effective solutions that have a direct impact on profitability during recessionary times.

Healthcare Payer Analytics

The link is to an article of the healthcare payer/insurance analytics available in the market. There are three categories of analytic services:

1. Outlier Detection - This area includes claims auditing, fraud and abuse, and Medicare Part D programs.
2. Predictive Modeling - This area includes HCC reconciliation and Outcomes Research.
3. Data Mining - This area includes claims processing, Medicare Advantage, and Care Management.

The architecture of the analytics engine allows for individual portals for payer staff, providers, members, and employers. There are over 300 reports. This architecture is compatible with Oracle (OBIEE), Microsoft (SQL 2005 & 2008), SAS Enterprise Data Miner, Business Objects, Hyperion, Cognos, and SPSS Clementine.

See: http://docs.google.com/Doc?id=dd87qswp_12xvh3mgc6&hl=en

If you have any questions contact Alberto at atomanalytics@gmail.com