Role of Business Intelligence and Analytics: Analysis of Data Driven Decision
Amit Mohan Awasthi1, Deepika Pandita2

1Amit Mohan Awasthi*, SIBM Pune Symbiosis International University Pune, India.
2Dr. Deepika Pandita, Asst. Professor, SIBM Pune Symbiosis International University , Pune, India.

Manuscript received on September 10, 2019. | Revised Manuscript received on 20 September, 2019. | Manuscript published on October 10, 2019. | PP: 1506-1510 | Volume-8 Issue-12, October 2019. | Retrieval Number: L31011081219/2019©BEIESP | DOI: 10.35940/ijitee.L3101.1081219
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Abstract: For better decision making Business Intelligence is a vital process. The application of technologies and practices for integrating, collecting, analyzing, business information is known as Business Intelligence (BI). The data driven Support Systems (DSS) is a system that support Business Intelligence. Thus Business Intelligence gains a business advantage if the company uses a strong BI tool instead of making vital decisions pertaining to business on the basis of gut feeling. Generating fact-based data agenda via a robust computer system delivers confidence for any business decisions made. Business Intelligence customs administrations and programming to alter the data into substantial insight that prompts to association’s key and strategic business choices. BI devices get to and examine informational collections and present discoveries in dashboards, graphs, outlines, maps and diagrams which gives the customers the details and knowledge about the condition of the business. Thus, the present study focuses on analyzing and describing the development of the various aspects of Business Intelligence and the related industries that use Business Intelligence for decision making.
Keywords: Business Intelligence, Business Analytics, Information, Communications, Technology, Analytics
Scope of the Article: Communications