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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 9

Published on: September 2026

ETHICAL AND RESPONSIBLE USE OF DATA ANALYTICS: PRINCIPLES, CHALLENGES AND BEST PRACTICES

Sunitha AS

Senior Lecturer

Garden city University, Bangalore

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Data analytics has become one of the forces in the modern economy changing how companies make choices understand people and handle risks. This paper gives a look at data analytics: what it is, how it has. How it affects business, industry and society. It starts by explaining data analytics and listing its four types. Descriptive, diagnostic, predictive and prescriptive. Before looking at the size of the analytics market and how fast it is growing. The paper then looks at how data analytics affects how companies make decisions and how it affects areas like healthcare, finance and marketing using research and real examples. It also talks about the effects of this change on society like how it affects work, creativity and the job market. Finally the paper looks at the problems that come with using a lot of data. Privacy, unfair computer decisions, openness and how to control data. It ends with a look at trends like adding more artificial intelligence into analytics work. The overall view is of a field that has gone from being a job to being a part of business plans with big benefits but also risks that need careful management.

How to Cite this Paper

AS, S. (2026). Ethical and Responsible Use of Data Analytics: Principles, Challenges and Best Practices. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(9), 1-9. https://doi.org/10.55041/ijcope.v2i9.138

AS, Sunitha. "Ethical and Responsible Use of Data Analytics: Principles, Challenges and Best Practices." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 9, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i9.138.

AS, Sunitha. "Ethical and Responsible Use of Data Analytics: Principles, Challenges and Best Practices." International Journal of Creative and Open Research in Engineering and Management 02, no. 9 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i9.138.

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References


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Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Sep 18 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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