Data Warehousing

Data warehousing is a process of organizing the storage of large, multivariate data sets in a way that facilitates the retrieval of information for analytic purposes.

The most efficient data warehousing architecture is capable of incorporating or at least referencing all data available in the relevant enterprise-wide information management systems, using designated technology suitable for corporate data base management ( Oracle, Sybase, MS SQL Server). Also, a flexible, high-performance (see Streaming Database Connector Technology), open architecture approach to data warehousing, that integrates with the existing corporate systems and enables users to organize and efficiently reference for analytic purposes enterprise repositories of data of practically any complexity, is offered in Enterprise Systems, which can also work in conjunction with Statistica Data Miner and Statistica Enterprise Server applications.

See Data Mining Definition, Exploratory Data Analysis (EDA) and Data Mining Techniques, Using Statistica Data Miner with Extremely Large Data Sets, and On-Line Analytic Processing (OLAP).See also, Data Mining with Statistica Data Miner, Structure and User Interface of Statistica Data Miner, Statistica Data Miner Summary, and Getting Started with Statistica Data Miner.