According to Thomas Davenport, analytics are defined as the extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management to drive decision making. Analytics may be used as input for human decisions or may drive fully automated decisions. According to Davenport, businesses analytics represent a subset of business intelligence. The other part of business intelligence is querying, reporting, OLAP, and "alerts".

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  • According to Thomas Davenport, analytics are defined as the extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management to drive decision making. Analytics may be used as input for human decisions or may drive fully automated decisions. According to Davenport, businesses analytics represent a subset of business intelligence. The other part of business intelligence is querying, reporting, OLAP, and "alerts". In other words, querying, reporting, OLAP, and "alert" tools can answer the questions: what happened; how many, how often, where; where exactly is the problem; what actions are needed. Business analytics can answer the questions: why is this happening; what if these trends continue; what will happen next; what is the best that can happpen.
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  • According to Thomas Davenport, analytics are defined as the extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management to drive decision making. Analytics may be used as input for human decisions or may drive fully automated decisions. According to Davenport, businesses analytics represent a subset of business intelligence. The other part of business intelligence is querying, reporting, OLAP, and "alerts".
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  • Business analytics
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