In the digital transformation era, integrating business intelligence and data analytics has become critical for the growth and sustainability of industrial organizations. However, with this technological evolution comes the pressing need for robust cybersecurity measures to safeguard valuable business intelligence from security threats. Strengthening Industrial Cybersecurity to Protect Business Intelligence delves into the theoretical foundations and empirical studies surrounding the intersection of business intelligence and cybersecurity within various industrial domains.
This book addresses the importance of cybersecurity controls in mitigating financial losses and reputational damage caused by cyber-attacks. The content spans a spectrum of topics, including advances in business intelligence, the role of artificial intelligence in various business applications, and the integration of intelligent systems across industry 5.0. Moreover, it delves into prescriptive, descriptive, and diagnostic analytics, exploring the frontiers of deep learning and cognitive computing. The book investigates cybersecurity implications for business intelligence, organizational risk management, and cyber policies. It explores the transformative potential of blockchain in enhancing cybersecurity across diverse sectors, including the challenges posed by emerging financial technologies.
Ideal for academics in information systems, cybersecurity, and organizational science, as well as government officials and organizations, this book serves as a vital resource for understanding the intricate relationship between business intelligence and cybersecurity. It is equally beneficial for students seeking insights into the security implications of digital transformation processes for achieving business continuity. Including case studies, research contributions, and empirical analyses makes this book an indispensable asset for university libraries.