Ethical Data-Driven Innovation: Integrating Cybersecurity Analytics and Business Intelligence for Responsible Governance

Authors

  • Md Rasel, Sub Assistant Engineer, National Institute of Mass Communication, Ministry of Information and Broadcasting, Bangladesh. Email: rasel.nimc@gmail.com Author
  • Reduanul Bari Shovon, Lecturer, Department of Computer Science and Engineering, University of Scholars, Dhaka, Bangladesh; e-mail: reduanul.bari@ius.edu.bd Author
  • Md Aminul Islam, Researcher, School of Computing and Technology, University of Gloucestershire, UK, Email: mdaminulislam1@connect.glos.ac.uk Author

Keywords:

Ethical Data-driven Innovation, Cybersecurity Analytics, Business Intelligence, Responsible Governance, Data Privacy, Ethical Decision-making, Integration Strategies, Risk Mitigation, Organizational Governance, Responsible Technology

Abstract

In the contemporary digital landscape, data-driven innovation stands as a catalyst for progress
across diverse sectors. However, amidst the rapid proliferation of data-driven technologies,
ethical considerations are paramount to ensure responsible governance. This paper advocates for
the integration of cybersecurity analytics and business intelligence (BI) as a means to promote
ethical data-driven innovation. By synergizing these two domains, organizations can fortify their
cybersecurity posture while fostering ethical decision-making and governance practices. This
paper explores the intersection of cybersecurity analytics and BI, elucidating their synergistic
potential in mitigating cyber risks, enhancing data privacy, and upholding ethical standards.
Through a comprehensive analysis, this paper delineates strategies for integrating cybersecurity
analytics and BI frameworks within organizational governance structures to promote responsible
data-driven innovation.

Downloads

Published

2023-12-18

How to Cite

Ethical Data-Driven Innovation: Integrating Cybersecurity Analytics and Business Intelligence for Responsible Governance. (2023). Journal Of Environmental Sciences And Technology, 2(2), 143-168. https://jest.com.pk/index.php/jest/article/view/37