Data2Info strengthens data analytics capacity in Tanzanian ministries by linking academic expertise with government information systems to improve resource management and policy decision-making.
Data2Info addresses the underutilization of data within Tanzanian government ministries. Although large volumes of administrative and statistical data are collected across sectors, limited analytical capacity and technical expertise hinder effective data interpretation and evidence-based decision-making. The project strengthens collaboration between academia and government institutions by enhancing advanced data science skills at Mzumbe University and transferring this expertise to government statisticians and information system developers. The initiative focuses on improving resource management, policy planning, and sustainable economic growth through enhanced data analytics and visualization tools.
The project aims to strengthen the capacity of MzU academics in advanced data analytics, big data processing, and decision-support system development. It further seeks to transfer knowledge and practical skills to government experts responsible for maintaining and upgrading information systems. By integrating advanced analytics and visualization libraries into government systems, the project enables the generation of informative reports that support strategic planning and efficient public resource allocation.
The project is expected to enhance data-driven decision-making across ministries, leading to improved public service delivery and resource management. It strengthens academia-government partnerships and contributes to sustainable economic planning and national development. In the long term, it establishes a culture of evidence-based policymaking within Tanzanian institutions.
VLIR-UOS
2023–2026
Data2Info involves Mzumbe University, Ghent University, the National Bureau of Statistics, the Ministry of Finance, PO-RALG, PO-PC, and the Ministry of Education. These institutions collaborate to ensure that analytical capacity building directly translates into improved government information systems and evidence-based governance.
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