A Literature Review on Business Analytics and Cybersecurity: Integrating Data-Driven Insights with Risk Management

The integration of business analytics and cybersecurity is a growing necessity in today's data-driven landscape. While analytics enables organizations to make informed decisions, the security of this data remains a critical challenge. This paper examines the interplay between these two domains, highlighting the evolution of analytics tools, the risks posed by cyber threats, and the technical hurdles in merging these fields. Insights from the literature underscore the need for robust cybersecurity measures to ensure data integrity and reliability in analytics workflows. Practical implications, such as adopting advanced tools and fostering a culture of cybersecurity, are discussed to guide businesses toward secure analytics practices. The study also identifies key gaps, including the lack of real-world case studies and limited research on financial implications, calling for interdisciplinary collaboration and innovation. By addressing these challenges, this research provides a roadmap for organizations to harness the full potential of analytics while safeguarding their digital assets.