Definition: the process of gathering information about a business or industry matter; a broad range of applications and technologies for gathering, storing, analyzing, and providing access to data to help make business decisions; abbr. BI - www.dictionary.com
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Business Intelligence
Today’s business environment drives an unprecedented need to understand, analyze, and take action on the ever-increasing mountains of customer and operational data. This coupled with the need to make decisions faster, and within a more complex business environment, is resulting in organizations demanding better business intelligence tools.
A critical step for organizations in constructing their Business Intelligence infrastructure is selecting the tools that will deliver and present information to their business users. This is the last step in a complex value chain that starts with raw source data from many systems, both internal and external, flows through various transformations to validate and cleanse the data, and finally loads into a data mart or data warehouse. If the information-delivery tools in the last step of this value chain are inadequate, then all the effort and expense of the preceding infrastructure is for naught.
Selecting a tool that will deliver useful and valuable information to business users is much more than a technical comparison. One can put much effort in judging the merit of a specific feature or capability among candidates.
However, the real test of merit comes more on the subjective match with business users than the technical features of the tool. Does the tool enable business users to understand complex interactions with customers and the like? Does the tool stimulate the creativity of business users to generate action plans for improving customer profitability...and enable them to monitor the effectiveness of those plans? It is deeper questions like these that should drive your tool selection.
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