Business Intelligence Overview

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Business Intelligence Overview

December 26, 2017 | business intelligence | No Comments

Business intelligence (BI) refers to the procedural and technical infrastructure that collects, stores and analyzes the data produced by a company’s activities. When planning for business data and business intelligence requirements, it is always advisable to consider specific scenarios that apply to a particular organization, and then select the business intelligence features best suited for the scenario. The application software is different from the system software that integrates different capabilities of the computer but these are not directly applied to the benefit of the user.

General enough to cover all analytical operations, but just as specific as it takes not to be confused with similar software, business intelligence remained the name of all apps used to gain insight on business. To increase user acceptance of a BI system, it can be advisable to consult business users at an early stage of the DW/BI lifecycle, for example at the requirements gathering intelligence

BI Terms – Data Warehouse – A repository of corporate or institutional data that is organized in a way that is meaningful for Business Analysis and Reporting. The business climate is changing fast and there is a wide spread expectation that new jobs will be created in the technology business intelligence

From DSS, data warehouses, Executive Information Systems, OLAP and business intelligence came into focus beginning in the late 80s. Have a clear picture from the start of what you want to get from BI, and how you plan to get there, and your chances of getting real value from Business Intelligence multiply intelligence

Business intelligence outlines the most effective actions you and your business partners can make moving forward. Our latest research project on Mobile Business Intelligence has been a great experience and a great success. Dashboards and visualisations are being developed to help answer common business questions and make it possible to generate bespoke analyses and visualisations based on HESA data sets and other sector data.

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