Influence of Data Analytics on The National Security Strategy Formulation Process in Kenya

Abstract

This study investigates the application of data analytics techniques in the formulation process of National Security Strategies (NSS) in Kenya, examining its influence and strategies for enhancement. The research is grounded in open systems theory (OST), which conceptualises the NSS formulation process as a dynamic system interacting with its environment. The study used a descriptive research design to collect primary data through closed-ended questionnaires from key stakeholders in Kenya’s national security organs and agencies. The data analysis, employing both descriptive and inferential statistics, revealed a significant positive correlation between data analytics and the NSS process. Key findings indicate that despite this positive correlation, the utilisation of data analytics is minimal due to limited proficiency among personnel and inadequate formal training. Integrating data analytics into the NSS process enhances environmental scanning, real-time monitoring of security threats, technological advancements, and socio-political dynamics. Challenges identified include a lack of skilled professionals, insufficient data infrastructure, and poor inter-ministerial collaboration. Recommendations to overcome these challenges include government incentives, regulatory clarity, the establishment of Data Analytics Centres of Excellence, investments in modern data infrastructure, comprehensive training initiatives, awareness campaigns, and partnerships with academia and industry. The study concludes that integrating data analytics into Kenya’s NSS formulation process is essential for improving the effectiveness and responsiveness of national security strategies to address evolving security challenges. This integration demands adaptive policies, informed decision-making, and a paradigm shift in NSS formulation to leverage data analytics capabilities fully.