Consolidating data warehouse tables dating a hindu
OLAP applications are widely used by Data Mining techniques.OLAP databases store aggregated, historical data in multi-dimensional schemas (usually star schemas).OLAP systems typically have data latency of a few hours, as opposed to data marts, where latency is expected to be closer to one day.
Online analytical processing (OLAP) is characterized by a relatively low volume of transactions.
Predictive analysis is different from OLAP in that OLAP focuses on historical data analysis and is reactive in nature, while predictive analysis focuses on the future.
These systems are also used for customer relationship management (CRM).
The integrated data are then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchical groups, often called dimensions, and into facts and aggregate facts.
The combination of facts and dimensions is sometimes called a star schema. The main source of the data is cleansed, transformed, catalogued, and made available for use by managers and other business professionals for data mining, online analytical processing, market research and decision support.
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A key to this response is the effective and efficient use of data and information by analysts and managers.