Business Intelligence Used by New York Agency to Simplify Data Warehousing

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By Matt Lewison


An HR administration in the metropolis of New York, that has nearly 15,000 staff working for it, has made a change to the Oracle data warehousing tools to organize its data analysis needs. The organization is largely into offering Medicaid and several additional services to the upward of 3 million residents of New York City.

This projects that they have a large amount of data to evaluate and regulate, and that is the reason they have chosen Oracle as their service providers. If you are seeking specializations for Oracle such as OBIEE administration training classes, you may find that need for professionals who are knowledgeable with the skills to work with this application might have grown appreciably.

The organization of significance here works with terabytes of data, which keeps mounting day by day. The new data system became fully operational on the 2/14/2012, but it took them six months, until the month of August, to make sure that the testing were carried out thoroughly. An staff member from the firm said that even spreadsheet can include more than 100,000 entries and the largest chart in the company's database contains an excess of three and a half billion claims which have been compensated.

The utilization of this recent business intelligence system has streamlined the data warehousing procedure appreciably, while reducing the effort necessary in monitoring significant data packets. For instance, the new data system contains only the data from which the system initially went operational (February, 2012). Still, the data system also has to respect the older data to make some long term data trend calculations and additional strategic business decisions.

The same corporation was also involved in a study which showed that in a data warehouse, only 15-20% of the information are actually used and the rest is surplus. With the synthesis of Oracle business intelligence tools, the individuals in charge can separate the important data from the superfluous lot without much effort.




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