International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Business Analytics: A Data-Driven Approach for Strategic Decision Making
| Author(s) | Ms. Poonam Shahadev Ware, Vitthal B Kamble, Sakshi Thombare, Anuya Piche |
|---|---|
| Country | India |
| Abstract | Business Analytics is really important for companies to make decisions based on the data they have. These days companies get a lot of data from things like customer purchases, social media and financial systems. They need to manage and analyze this data properly if they want to do and stay ahead of their competitors. Business Analytics uses things like statistics, data mining and machine learning to look at sets of data and find useful patterns. These methods help with kinds of analysis like looking at what happened in the past figuring out why something happened predicting what will happen in the future and deciding what to do next. This helps companies work better take care of their customers deal with risks and plan for the term. New technologies like intelligence big data and cloud computing have made analytics systems much better. These technologies let companies look at sets of data quickly and make decisions faster.. Using Business Analytics is not without challenges. Companies have to deal with things like making sure their data is good keeping it private and secure having the equipment and finding people with the right skills. This study talks about the ideas, methods and uses of Business Analytics and how it is becoming more important, for companies that rely on data. |
| Keywords | Business Analytics, Big Data, Data Mining, Predictive Analytics, Prescriptive Analytics, Machine Learning, Artificial Intelligence, Decision Support Systems, Data-Driven Decision Making, Business Intelligence, Optimization Techniques, Cloud Computing. |
| Field | Business Administration |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-04-12 |
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E-ISSN 2582-2160
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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