Because a company has so many things to do and so many outputs to consider wherever can they actually find the time and the means to organize every little (but important) piece of information they have every processed? The answer, of course, lies in the idea of business intelligence data warehousing. A business intelligence data warehouse can be called the main repository of the historical data of any organization that possesses it. One can even say that it serves as a silo of an enterprise s corporate memory. It holds many things, such as the raw materials that are used whenever the management needs to come up with decision support systems. There is a critical factor which leads to the usage of the data warehousing, and that is the data analyst himself can come perform many complex queries and solutions including data mining on the different type of information without needlessly slowing down the operations of the entire system or its many interwoven parts.

How does it work? For example, a data warehouse might prove useful to figure out which exact day of the week a particular company was able to sell a particular software during the year 2001 and in the month of May. It can also tell the difference between the amount of sick leaves of employees in California and employees in New York are from the years 1998-2001 during a week or two before the winter season. Data warehousing is important because it is able to provide services not just to the managers of the company, but other members of the entire organization as well.

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