Data Warehouse

Data Warehouse is a repository of an organization's electronically stored data. Data warehouses are designed to facilitate reporting and analysis.
This classic definition of the data warehouse focuses on data storage. However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform, and load data into the repository, and tools to manage and retrieve metadata.

Data Warehouse is combination of Fact Tables and Dimension tables for a particular vertical. Data Warehouse data is historical as well as current data both for the Fact and Dimension Tables. Data Warehouse design concept keeps Database as well as On line Transaction Processing Database resources free from Analysis and uses resources of other servers. The Fact Tables are designed to include columns and rows of database tables to give More analytical Abilities. Data is gathered from various sources and consolidated in the Data Ware House. Data is updated at regular intervals decided by the requirement of Analysis. In days of Data Explosion when more data is available and which cannot be fruitfully analyzed manually with the help of Desk top Applications and Databases. Data Warehouse streamlines the Data so that Analysis can be carried out.

All Applications of Business Intelligence and Artificial Intelligence run using Data Warehouse. Multi-Dimensional Multi-Cube Structures are created which use Data Warehouse and Give reports for formulation of Corporate Business Strategy. This Strategy is very important when Business Competition is increasing due to free economies and International pressures. This helps in achieving larger market share, improved productivity, improved delivery, improved profitability and improved Corporate Governance. Business Managers get relevant information very fast at their desk tops.

The data warehouse architecture is based on a relational database management system server that functions as the central repository for informational data.  In the data warehouse architecture, optional data and processing are completely separate from data warehouse processing.

Recom Systems Limited provide you with Data Warehouse design and applications with hardware, networking and telecommunications configurations.

Some of the benefits that a data warehouse provides are as follows:

* A data warehouse provides a common data model for all data of interest regardless of the data's source. This makes it easier to report and analyze information than it would be if multiple data models were used to retrieve information such as sales invoices, order receipts, general ledger charges, etc.
* Prior to loading data into the data warehouse, inconsistencies are identified and resolved. This greatly simplifies reporting and analysis.

* Information in the data warehouse is under the control of data warehouse users so that, even if the source system data is purged over time, the information in the warehouse can be stored safely for extended periods of time.
* Because they are separate from operational systems, data warehouses provide retrieval of data without slowing down operational systems.
* Data warehouses facilitate decision support system applications such as trend reports (e.g., the items with the most sales in a particular area within the last two years), exception reports, and reports that show actual performance versus goals.
* Data warehouses can work in conjunction with and, hence, enhance the value of operational business applications, notably customer relationship management (CRM) systems.