Business Intelligence Predictive  Analytics: Data Driven Decision Making Approach

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Divesh Pravin Sonawane; Prof.Radha Tripathi; Prof.Manjiri Raut

Business Intelligence Predictive Analytics: Data Driven Decision Making Approach

Authors: Divesh Pravin Sonawane, Prof.Radha Tripathi, Prof.Manjiri Raut

Unique Paper ID: 168983
Volume: 11
Issue: 6
PageNo: 56-60

Keywords: Business Intelligence Predictive Analytics Decision-Making Data Mining.

Abstract:
In today’s data-driven landscape, businesses face increasing complexity and uncertainty. Business intelligence (BI) is the process of using data to generate insights that help businesses make decisions, find revenue opportunities, and evaluate performance. Predictive analytics is a statistical and analytics technique that uses historical and current data to predict future events. Both Techniques are very important for the businesses having their own techniques as well as tools for implementation in the businesses such as Data Mining. Case studies helps us to understand the techniques with more trust that how they are implemented and it also helps us to sort which technique is efficient for generating this particular result. We will see the case study of Healthcare field which involves the predictive analytics method implemented by “Mayo Clinic”. At last it includes the challenges and limitations that we faces while implementing this techniques and also the necessary changes that we should implement to overcome this challenges. Conclusion involves key takeaways, future of BI and PA with the graph showing the development of businesses using business intelligence. This report concludes the thought “DATA-DRIVEN DECISION-MAKING IS THE FUTURE”.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 6
PageNo: 56-60

Business Intelligence Predictive Analytics: Data Driven Decision Making Approach

Available:https://ijirt.org/article?manuscript=168983

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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