BUSINESS INTELLIGENCE : TECHNIQUES AND INTEGRATIONWITHDATAMINING, KNOWLEDGE MANAGEMENT AND CLOUD

Authors

  • Ms. Palak Gupta Assistant Professor, Jagannath International Management School, Kalkaji, New Delhi Author
  • Dr. Akshat Dubey Professor, Jagannath International Management School, Kalkaji, New Delhi Author

Keywords:

data mining, Business intelligence (BI), industrial informatics, competitive intelligence, cloud computing, big data, knowledge management

Abstract

Business intelligence (BI) is an effective way of integrating enterprise applications in real time as it combinesoperational data with analytical tools to provide competitive intelligence for strategic decisions. To learn fromthepast and forecast the future, many companies are adopting Business Intelligence tools and systems. Todayenterprises are facing the challenges of processing huge amounts of data and turning it into smart and timelydecisions to deliver better products and services. In order to have industrial informatics at tips and deliver the useful information for decision-making, business intelligence is the prime solution for users to efficiently extract useful information from big data. It describes the insights on the role and requirement of real time BI by examiningthebusiness needs. The capabilities of BI include decision support, online analytical processing, statistical analysis, forecasting, and data mining. This paper focuses on the concepts, technology requirements of BI and its role indatamining, knowledge management and cloud computing.

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Published

2016-12-31

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Section

Articles