Online ISSN- 2457-0818

Journal of Research in Computer Science and Engineering

The Journal of Research in Computer Science and Engineering is a tri-annual peer reviewed journal that presents papers on theory and design of computational systems. Computer science and engineering involves integration of many disciplines, including software design, information technology, electronics and electrical engineering, and more. It is a dynamic field of engineering where engineers are constantly involved in development of hardware and software systems to integrate them into bigger scheme of things. 
We invite research authors to submit papers on the topics given below, or suggest some relevant topics on which papers can be included in this journal and submit papers on the same.

  • Theory of computation
  • Foundations of Computer Systems
  • Computer architecture and organization
  • Electronics
  • Computer Networks
  • Software Engineering
  • Database systems
  • Operating systems
  • Website Design and Java Programming
  • E-commerce
  • ERP
  • Multimedia Applications
  • Compiler Design
  • Principles of Programming Languages

Vol 9, No 2 (2024): The Impact of Big Data Analytics on Business Decision-Making

Authors: Kiran Patel, Sonia Gupta

Abstract: Big Data Analytics (BDA) has emerged as a critical tool for businesses, enabling data-driven decision-making and providing valuable insights. This paper explores the impact of BDA on business decision-making processes, focusing on how it enhances operational efficiency, customer understanding, and strategic planning. The study examines various BDA techniques, such as predictive analytics, machine learning, and data mining, and their applications in different business domains. Additionally, the paper discusses the challenges and limitations of implementing BDA, including data quality issues, the need for skilled professionals, and ethical considerations. The findings highlight the transformative potential of BDA in driving business success and competitiveness.

Keywords: Big Data Analytics, Business Decision-Making, Predictive Analytics, Machine Learning, Data Quality

Full Issue

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Table of Contents