What is Business Intelligence data mining?

Business Intelligence data is the process of using sophisticated equipment to find and extract relevant business information from more data. The deadline is also sometimes associated with data search that is stored on a damaged device, such as a server or a hard disk that crashed. This form of data mining seeks to access the necessary data concerning the history and current position of the trade enterprise, and allows this data to be organized in a logical way.

In most situations, business intelligence is seen as information related to the overall function of the company. This may include information such as funds, client lists, politicians and procedure documents, shareholder registers, and even electronic copies of contractual agreements with customers and sellers. For data mining tools, it is possible to make a focused search of data that are necessary rather than have to paint with all stored data of Manily. If you need to findAnd referring to specific information in a short period of time, the most effective process is to mining data of business news.

Together with localization and extraction of data for use in a certain type of evaluation or upcoming project, you can also use business intelligence data in an emergency situation. For example, if any type of natural disaster causes the company server inaccessible, this form of data mining can be used as a means to save stored data from a damaged device. In this application, the server is subjected to a number of tests to find any nodes in memory that are still functional and use different means to copy these data from the damaged unit. At this point, extracted data can be converted into a logical sequence and re -loaded into a new server. While the business intelligence of this typup can be somewhat expensive, the time and expenditure saved in re -establishing a ZTRace data using printed documents often exceed the cost of extraction.

As well as mining data from business intelligence information can be used for constructive reasons, the strategy can also be used as a means to damage existing data. With this application, key data is placed, extracted, changed and then replaced by the original information. The aim of this type of activity is often to create a false image of the financial background of the company or an individual, either as an attempt to discredit data owner, or to remove evidence of some type of doubtful or unethical transactions made by one or more individuals within the company. Depending on the quality of mining of data on business intelligence, it may be virtually impossible to identify the changes made unless the original data is copied and stored at a place that has not been accessible to the MINERS data.

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