The main ingredients for evidence-based decision making are data and the capacity to transform it into useful information. Unfortunately, reliable data remain scarce, inexistent, or when available, not utilized. The use of experiments to guide policy action is constrained by setup and data costs. This implies that policies affecting millions of lives around the globe are often based on best guesses. DIME’s effort to promote the use of high quality data and rigorous evidence for transforming development practice involves generation, integration, and creative use of data analysis to guide policies. Thus, DIME builds governments’ capacity in developing data systems, leveraging innovations in digital data collection tools, remote sensing techniques, and big data processing. The goal is to construct improved data infrastructure and increase the rate and frequency of experimentation and knowledge generation.