Business Intelligence

Explore, Search, Clean, Model, Analyze, Output, Value

Business Intelligence

Explore, Search, Clean, Model, Analyze, Output, Value

Business Intelligence


The type of data as well as the algorithms used in Data Science, differentiate it from business intelligence. In business intelligence, like Data Science, raw data becomes useful and meaningful information through actions. The main difference between Data Science and business intelligence is that business intelligence can be used with static and highly structured data; While Data Science can cover high-speed, high-volume, complex multi-structural data. In the past, data analysts reviewed past data only to report on past business performance. But using Data Science, by studying past data, one can discover trends, find patterns, and predict future business behaviors.
Business intelligence can include systems that can analyze structured data sets and provide consistent outputs and reports. Suppose, for example, that all raw daily or monthly sales data can be converted into a management report in a few seconds, which contains all the key sales metrics, and managers can easily monitor their sales status. The development of such systems can significantly increase the speed of decision making. Also, the quality of the decisions made increases significantly and the error rate decreases.

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