Decoding Big Data: The Essential Elements Shaping Business Intelligence
- Title
- Decoding Big Data: The Essential Elements Shaping Business Intelligence
- Creator
- Chopra D.; Shekhar S.; Christopher A.; Vinay M.; Kavitha S.
- Description
- In today's Business Intelligence (BI) world, Big Data Analytics integration has become critical, transforming company strategy and decision-making processes. This study investigates the complex influence of Big Data on business intelligence, focusing on important drivers of this transition. It investigates how Big Data's improved data processing capabilities, integration of advanced analytics techniques such as machine learning, and real-time data insights enable businesses to make more informed decisions and achieve a competitive advantage. Furthermore, the paper emphasizes the importance of personalized consumer insights, operational savings, and strategic benefits obtained from predictive analytics when adopting Big Data for BI. 2024 IEEE.
- Source
- 8th IEEE International Conference on Computational System and Information Technology for Sustainable Solutions, CSITSS 2024
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Big Data Analytics; Business Intelligence(BI); Competitive Advantage; Modern Enterprises
- Coverage
- Chopra D., Christ University, Department of Computer Science, Bangalore, India; Shekhar S., Christ University, Department of Computer Science, Bangalore, India; Christopher A., Christ University, Department of Computer Science, Bangalore, India; Vinay M., Christ University, Department of Computer Science, Bangalore, India; Kavitha S., Christ University, Department of Computer Science, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-833150546-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Chopra D.; Shekhar S.; Christopher A.; Vinay M.; Kavitha S., “Decoding Big Data: The Essential Elements Shaping Business Intelligence,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19004.