Big Data, Big Impact: The Role of Analytics in Modern Business

Year : 2025 | Volume : 12 | Issue : 02 | Page : 01 11
    By

    V. Basil Hans,

  1. Research Professor, Department of Management and Commerce, Srinivas University, Mangaluru, Karnataka, India

Abstract

In modern business, “Big Data” signifies the vast amount of data collected from various sources, and “Big Data Analytics” refers to the process of analyzing this data to extract valuable insights, enabling companies to make data-driven decisions, optimize operations, better understand customers, and ultimately gain a competitive edge by identifying trends, patterns, and opportunities that might otherwise be missed. This study analyzes large datasets, by which businesses can gain deeper customer insights, predict market trends, and make informed strategic decisions across various aspects like product development, marketing, and pricing strategies. It identifies bottlenecks and inefficiencies in business processes through data analysis, enables companies to streamline operations, reduce costs, and optimize resource allocation. The overall objective of big data analytics is to discover experimental growth, patterns otherwise hid, applying analytic algorithms to the large datasets stored in software clusters. Some possible analysis outcomes are trends, insights, and analytics. Future data analytics endeavors are believed to be improved by the integration of various methodologies, possibly from apparently unrelated scientific domains. In conclusion, the big data and analytics nexus is to offer a plethora of uncharted business and technical possibilities like data monetization. However, there are still challenges to be solved, and computer and information science stand poised to trigger a strategic and tight cross-fertilization. In conclusion, the study looks at Big Data Analytics as a powerful tool for modern businesses, enabling data-driven decision making, improved customer experiences, operational efficiency, and overall competitive advantage by extracting valuable insights from vast datasets.

Keywords: Big Data, vast datasets, plummeting costs, analytics in business, decision-making

[This article belongs to Journal of Advanced Database Management & Systems ]

How to cite this article:
V. Basil Hans. Big Data, Big Impact: The Role of Analytics in Modern Business. Journal of Advanced Database Management & Systems. 2025; 12(02):01-11.
How to cite this URL:
V. Basil Hans. Big Data, Big Impact: The Role of Analytics in Modern Business. Journal of Advanced Database Management & Systems. 2025; 12(02):01-11. Available from: https://journals.stmjournals.com/joadms/article=2025/view=208895


References

  1. Vera-Baquero A, Colomo-Palacios R, Molloy O, Elbattah M. Business process improvement by means of Big Data based Decision Support Systems: a case study on Call Centers. Int J Inf Syst Proj Manag. 2015; 3(1): 5–26.
  2. Alharthi M. The Role of Big Data in Influencing Strategic Decision-Making for Organizations: A Review. InternationalJournal of Sciences: Basic and Applied Research (IJSBAR). 2018 Nov 9; 42(3): 83–9. Available from: https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/9483.
  3. Hassan Zadeh A, Schiller S, Duffy K, Williams J. Big data and the commoditization of analytics: Engaging first-year business students with analytics. E-Journal of Business Education & Scholarship of Teaching (eJBEST). 2018; 12(1): 120–137.
  4. Brausch B, Cangemi J, Moody K. Analytics: Potential in Higher Education. International Journal of Leadership and Change (IJLC). 2018; 6(1): 10.
  5. Brewis CC. To What Extent Are UK Companies Using Big Data to Inform Their Marketing Strategy? United Kingdom: Open University; 2016.
  6. Rossi R, Hirama K. Towards a conceptual approach of analytical engineering for big data. arXiv preprint arXiv:2201.05754. 2022 Jan 15.
  7. Memon MA, Soomro S, Jumani AK, Kartio MA. Big data analytics and its applications. arXiv preprint arXiv:1710.04135. 2017 Oct 9.
  8. Belle V, Papantonis I. Principles and practice of explainable machine learning. Front Big Data. 2021 Jul 1; 4: 688969.
  9. Almeida F. Big data: concept, potentialities and vulnerabilities. Emerg Sci J. 2018 Mar 7; 2(1): 1–10.
  10. Kruse CS, Goswamy R, Raval YJ, Marawi S. Challenges and opportunities of big data in health care: a systematic review. JMIR Med Inform. 2016 Nov 21; 4(4): e5359.
  11. Dabab M, Craven R, Barham H, Gibson E. Exploratory strategic road mapping framework for Big Data privacy issues. In 2018 IEEE Portland International Conference on Management of Engineering and Technology (PICMET). 2018 Aug 19; 1–9.
  12. Akhtar P, Frynas JG, Mellahi K, Ullah S. Big data‐savvy teams’ skills, big data‐driven actions and business performance. Br J Manag. 2019 Apr; 30(2): 252–71.
  13. Harris J, Hinson P, Acikgoz Y. RCIO 2019 Presentation Submission: Do you speak Hadoop? An analytics tutorial of the latest tech in big data, and how you can utilize them in HR. [Online] The University of Tennessee. Chattanooga’s Knowledge. UTC Scholar. Available from: https://scholar.utc.edu/cgi/viewcontent.cgi?article=1138&context=rcio
  14. Vidgen RT. Creating business value from Big Data and business analytics: organizational, managerial and human resource implications. England: Hull University Business School; 2014.
  15. Dvorski Lacković I, Kovšca V, Lacković Vincek Z. The potential for big data application in the marketing of banking institutions. CroDiM: International Journal of Marketing Science. 2018 Mar 1; 1(1): 137–44.
  16. Aktas E, Meng Y. An exploration of big data practices in retail sector. Logistics. 2017 Dec 12; 1(2): 12.
  17. Awrahman BJ, Aziz Fatah C, Hamaamin MY. A review of the role and challenges of big data in healthcare informatics and analytics. Comput Intell Neurosci. 2022; 2022(1): 5317760.
Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 31/01/2025
Accepted 27/03/2025
Published 24/04/2025
Publication Time 83 Days
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