On line analytical processing, also known as OLAP is a component of business intelligence programs. Microsoft SQL Server facilitates the use of OLAP in a business environment. OLAP allows users to access databases and data cubes through network connections. OLAP can empower an end user to create ad hoc reports with the click of a mouse.
A data warehouse is a database that is used to store data generated from operating a business. The data is analyzed to provide intelligence and support for business planning such as product launches and budget proposals. Data stored in a data warehouse is used for analytical purposes not to monitor real time transactions. On line analytical processing is used to access the data located in a data warehouse.
On Line Analytical Processing
Without OLAP applications, data warehouses would not be able to be accessed through network connections. OLAP is what facilitates rapid responses from complex queries into a data warehouse. OLAP can create responses to simple queries in seconds while very complex queries can take just a matter of minutes. OLAP allows users to create ad hoc reports that can give a user an opportunity to dig deeper into a report.
There are several business intelligence firms that specialize in setting up an intelligence solution that can include SQL Server OLAP. The unique flexibility of data analysis and the quick results of queries are just a few of the benefits for a business to use OLAP applications. A business intelligence firm will have consultants that can help design a system that fits the needs and budget of the business.
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