The struggle for data driven decisions in Africa: Consequences of data unavailability

This book offers a comprehensive analysis of the contemporary challenges faced by African countries in accessing relevant data for effective decision-making, with the aim of fostering economic growth and development across various sectors such as manufacturing, mining, construction, education, health, and finance. It delves into the intricate nature of “Data,” demystifying its significance in policy implementation and shedding light on the potential negative consequences African countries may face if they continue to grapple with limited data access. Furthermore, the book explores the role of private and public organizations, as well as think tanks, in contributing to the availability of data that is crucial for shaping policies aimed at economic growth and development. However, it also delves into the underlying factors that hinder African countries from establishing robust research institutions with the capacity to revolutionize data availability and contribute significantly to analysis, research, and development.

Moreover, the book highlights how data availability facilitates statistical and econometric analysis, leading to the generation of ideas that can inform the policy direction of countries on their path to achieving sustainable economic growth. It emphasizes the competitive advantage enjoyed by highly data-driven countries compared to those with limited data access, underscoring the significant disparities in data availability among nations. Therefore, this book serves as an invaluable resource for policymakers, researchers, academics, and government officials seeking to comprehend the importance of data, address data availability challenges, and implement policies that foster research and development for sustainable economic growth. It provides insights and guidance for those interested in harnessing the power of data to drive evidence-based decision-making and promote the socio-economic advancement of African nations.