What Is Business Intelligence? BI Definition

Business IntelligenceThe term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of enterprise facts. In addition, Hadoop systems are increasingly getting made use of within BI architectures as repositories or landing pads for BI and analytics data, in particular for unstructured information , log files, sensor information and other varieties of big data Just before it is made use of in BI applications, raw information from different supply systems need to be integrated, consolidated and cleansed applying information integration and data quality tools to ensure that users are analyzing precise and constant info.

Business intelligence combines a broad set of data evaluation applications, which includes ad hoc evaluation and querying, enterprise reporting, on the web analytical processing ( OLAP ), mobile BI , real-time BI , operational BI , cloud and software program as a service BI , open supply BI , collaborative BI and location intelligence BI technologies also contains information visualization computer software for designing charts and other infographics , as effectively as tools for building BI dashboards and overall performance scorecards that display visualized information on business enterprise metrics and key functionality indicators in an simple-to-grasp way.

BI applications can also incorporate forms of sophisticated analytics , such as data mining , predictive analytics , text mining , statistical analysis and massive data analytics In many instances even though, advanced analytics projects are conducted and managed by separate teams of information scientists , statisticians, predictive modelers and other skilled analytics professionals, although BI teams oversee more simple querying and analysis of enterprise data.

BI encompasses a wide wide variety of tools, applications and methodologies that allow organizations to gather information from internal systems and external sources, prepare it for analysis, develop and run queries against the data, and produce reports, …

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