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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63110
Volume:
10 |
5 |
May 2026
Pages:
1-4
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Masters of Computer Application
G H Raisoni College Of Engineering and Management, Wagholi, Pune ,Maharashtra, India
Department of Masters of Computer Application
G H Raisoni College Of Engineering and Management, Wagholi, Pune ,Maharashtra, India
Department of Masters of Computer Application
G H Raisoni College Of Engineering and Management, Wagholi, Pune ,Maharashtra, India
Department of Masters of Computer Application
G H Raisoni College Of Engineering and Management, Wagholi, Pune ,Maharashtra, India
In the modern digital economy, organizations generate large volumes of data from various sources such as online transactions, social media platforms, mobile applications, and enterprise systems. Managing and analyzing such massive datasets using traditional data processing methods is often inefficient and time-consuming. Big Data Analytics provides advanced technologies and analytical techniques that enable organizations to process, analyze, and interpret complex datasets to obtain meaningful insights. The use of big data analytics allows businesses to improve decision-making by identifying patterns, trends, and relationships within data. Organizations can better understand customer behavior, predict market demands, and enhance operational efficiency through data-driven strategies. Many industries including retail, banking, healthcare, and ecommerce increasingly rely on big data analytics to improve productivity and gain a competitive advantage. This research paper highlights the significance of big data analytics in business organizations. It discusses the concept of big data, its major applications across industries, and the benefits it provides in improving business performance. The paper also addresses challenges related to data security, data management, and implementation costs. Overall, big data analytics plays a crucial role in supporting business growth and innovation in the digital age.
KEYWORDS
Big Data Analytics plays a very important role in today’s business environment. It helps organizations analyze large amounts of information and convert raw data into useful knowledge that supports better managerial decisions. By using analytical tools and technologies, companies can improve their business operations, understand customer needs more clearly, and remain competitive in the market. However, the adoption of big data analytics also brings certain challenges, including data security issues, privacy concerns, and the high cost of implementing advanced analytical systems. Despite these difficulties, the advantages of using big data are much greater. With the continuous development of modern technologies such as artificial intelligence and machine learning, the effectiveness of data analytics will continue to improve. These advancements will allow organizations to make more accurate decisions, develop better business strategies, and achieve long-term organizational success
[1] IBM Corporation, What is Big Data? [Online]. Available: https://www.ibm.com/topics/big-data [2] McKinsey Global Institute, Big Data: The Next Frontier for Innovation, Competition, and Productivity. [Online]. Available: https://www.mckinsey.com/capabilities/quantumblack/our-insights/big-data-the-next-frontier-for-innovation [3] Oracle Corporation, What is Big Data? [Online]. Available: https://www.oracle.com/big-data/what-is-big-data/ [4] GeeksforGeeks, Big Data Analytics. [Online]. Available: https://www.geeksforgeeks.org/big-data-analytics/ [5] Microsoft Azure, What is Big Data Analytics? [Online]. Available: https://azure.microsoft.com/en-in/resources/cloud-computing-dictionary/what-is-big-data-analytics/
Publication Date
5/12/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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