Data to Decisions: Strengthening Data-Driven Policymaking in Nigeria’s Civil Service

Introduction

Effective governance is fundamentally driven by sound, evidence-based public policies. In today’s complex environment, the quality of government decisions increasingly depends on the systematic use of reliable research, robust data analysis, and rigorous monitoring and evaluation. These elements enable policymakers to understand societal needs, design targeted interventions, track progress, and make timely adjustments that deliver meaningful results for citizens.

Contrary to the widely held view that Nigeria’s governance challenges stem primarily from poor implementation, emerging evidence indicates that weaknesses in the upstream processes of research, data generation, and evidence use are a critical, often underappreciated contributor to policy shortcomings. Many public policies continue to be formulated with insufficient empirical grounding, leading to unrealistic assumptions, misallocated resources, and limited impact. This gap between available evidence and policy practice remains a persistent barrier to sustainable development.

Within Nigeria’s Federal Civil Service, Policy, Planning, Research, and Statistics (PPRS) departments occupy a strategic position in addressing this challenge. These departments are responsible for generating data and analytical insights to inform planning, programme design, performance tracking, and decision-makingacross government. However, baseline assessments and prior capacity reviews have consistently highlighted significant gaps in technical competencies among junior and especially mid-level officers. Many PPRS professionals possess foundational awareness of data management but demonstrate only moderate proficiency in critical areas such as advanced data collection techniques, dataset cleaning and preparation, in-depth analysis, visualisation, and the application of monitoring and evaluation frameworks. Reliance on outdated methods, limited familiarity with modern analytical tools, and inadequate integration of evidence into routine processes further constrain their effectiveness.