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A Move To Oracle Business Intelligence A Smart Move

By Matt Lewison


A Human Resources department in the metropolis of New York, that has about 15,000 employees working for it, has made a move to the Oracle data warehousing tools to better structure its data analysis needs. The company is primarily into offering Medicaid and a few additional services to the excess of 3 million residents of NYC.

This projects that they have a lot of data to consider and order, and that is the reason they have chosen Oracle as their service providers. If you are seeking specializations for Oracle such as OBIEE course programs, you might find that demand for technology specialists who are equipped with the skills to work with this tool might have increased appreciably.

The corporation of relevance here operates with terabytes of data, which keeps growing on a daily basis. The most recent data system became fully operational on the 2/14/2012, but it took them 6 months, until the month of August, to make sure that the evaluations were carried out thoroughly. An member of staff from the firm said that even an uncomplicated spreadsheet will include more than 100,000 entries and the largest spreadsheet in the company's database has an excess of three and a half billion claims which have been compensated.

The employment of this innovative business intelligence system has streamlined the data warehousing practice appreciably, while reducing the effort required in monitoring important data packets. For instance, the latest system has only the data from which the system first went operational (February, 2012). Still, the data system also has to take into account the older data to create some long term data trend calculations and other strategic business options.

The same company was also involved in a study which confirmed that in a data warehouse, only 15-20% of the data are seriously utilized and the rest is surplus. With the integration of Oracle business intelligence tools, the people in charge can separate the central data from the unnecessary data without much struggle.




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