Wednesday, October 24, 2012

15,000 Employees With 100,000 Entries Per Sheet? No Problem For Oracle

By Matt Lewison


A Human Resources department in the metropolis of New York, which has nearly 15,000 personnel working for it, has made a move to the Oracle data warehousing tools to simplify its information analysis needs. The corporation is primarily into providing Medicaid and a few additional services to the upward of 3 million residents of New York City.

This is because they have a lot of data to analyze and order, and that is why they have chosen Oracle as their service providers. If you are seeking specializations for Oracle such as OBIEE admin training classes, you might find that requirement for people who are equipped with the experience to work with this tool might have increased considerably.

The organization of relevance here works with terabytes of data, that keeps mounting on a daily basis. The most recent warehousing tool became fully operational on the fourteenth of February 2012, but it took them six months, until the month of August, to make sure that the testing were carried out systematically. An staff member from the company said that even an uncomplicated spreadsheet may include more than 100,000 entries and the largest table in the company's database has an excess of three and a half billion claims which have been compensated.

The utilization of this innovative business intelligence system has streamlined the data warehousing practice significantly, while reducing the energy necessary in tracking large data packets. For example, the recent data system features only the data from which the system first went operational (February, 2012). Still, the data system also has to consider the older data to assemble some long term data trend calculations and additional strategic business decisions.

The same corporation was also involved in a study that confirmed that in a data warehouse, only 15-20% of the statistics are literally used and the rest is redundant. With the assimilation of Oracle business intelligence tools, the professionals in charge can separate the significant data from the redundant lot without much struggle.




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