![]() ![]() ![]() Properly designed and implemented, and regularly updated, these repositories, called data warehouses, allow managers at all levels to extract and examine information about their company, such as its products, operations, and customers' buying habits. To deal with the mountains of data, the information is stored in a repository of data gathered from various sources, including corporate databases, summarized information from internal systems, and data from external sources. Some estimates indicate that the amount of new information doubles every three years. Large quantities of data are searched and analyzed to discover useful patterns or relationships, which are then used to predict future behavior. The technologies are frequently used in customer relationship management (CRM) to analyze patterns and query customer databases. Analysis of the data includes simple query and reporting, statistical analysis, more complex multidimensional analysis, and data mining.ĭata analysis and data mining are a subset of business intelligence (BI), which also incorporates data warehousing, database management systems, and Online Analytical Processing (OLAP). ![]() The information frequently is stored in a data warehouse, a repository of data gathered from various sources, including corporate databases, summarized information from internal systems, and data from external sources. The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. ![]()
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