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The concept Business Intelligence (shortcut BI) implies procedures and processes to the systematic analysis (collection, harmonisation, evaluation, representation) from relevant enterprise data. Purpose is the generating of knowledge which allows better surgical or strategical decisions in regard to the business objectives. This happens with the help of analytic draughts which evaluate data about own enterprise, the competitors or market development in view of the desired information.

With the won knowledge, enterprises can make their commercial expiries, customer relations and supplier's relations more profitable, reduce costs, minimise risks and increase the added value.
This is nothing new. Successful entrepreneurs always valued the experiences and knowledge won from their business, to draw consequences for further action.

Hence, BI reaches from the margin note to production figures of a small firm on a slip of paper up to the quarter report of a NYSE-listet enterprise. At last, BI describes the way in which into information transformed data of the productiveness of an enterprise reaches the decision-makers.

In the past, hierarchical compression of data and transfer in paper form was still sufficient. But in times of explosively rising data volumes and shorter decision-making leeway, the leaflet is inapplicable to overlook own business comprehensively as well as in detail.

Therefore, IT systems and architectures were established during the past years, which structure and bundle up the data from the single enterprise areas. By the use of suitable tools, these data can be analysed and the reporting is improved significantly.