Introduction to BI

We live in the information economy. Knowledge is the power. Information is the lifeblood of companies. It’s clear that this idea contains a lot of truth. Smart use of information and information technology can be one of the most effective ways to gain a competitive advantage and thrive in times of change with dynamic business environment. Also most of the executives find that they and others in their organizations fall far short of where they ought to be with regard to having optimal capabilities for processing the information.



People in most organizations are overwhelmed with ever-increasing mountains of data, yet most have difficulty transforming data into meaningful information and actionable insights.

Nearly everything people do generates data these days, and organizations are capturing that data by the gigabyte. Data is collected because people think information is an asset, so it seems good to have a lot of it. But data is only potential information. Few organizations get high grades for extracting value from the data they collect, so instead of rich insights, most organizations get stuck with ‘data vaults.’ Turning raw data into
useful information is not a trivial task, but without that capability, decision-makers fail to gain the potential insights and benefit that could help them be more successful.

To overcome those issues with regard, the managing data and to refine the raw data into reports and analytical summaries different kinds of systems come to the market. Mainly those systems are kinds of ERPs, CRMs and SCMs etc. These management information systems are doing great job for business community by planning, managing data and providing reports. But these system unable to provide complex reports such as cross functional analysis, also multi dimension view of information. But due sophistication of business process and dynamic environment business community needs such complex analysis of data.



















The propose solution to overcome those issue Business Intelligence system.BI enable quickly, effectively, and economically get access to, analyze, report on, and share the information need to achieve corporate objectives. Business intelligence usually refers to the information that is available for the enterprise to make decisions on. A data warehousing (or data mart)system is the backend, or the infrastructural, component for achieving business intelligence. Business intelligence also includes the insight gained from doing data mining analysis, as well as unstructured data for content management systems.

BI systems use complex queries and stored data in multi dimension cubes rather than tables. BI systems can provide valuable intelligences, rather than information to the business community. Hence they can capitalize on opportunities before others do and get competitive advantages. By a BI system business organization can fulfill the information gap.