As the Government of India and several state governments increasingly invest in large-scale economic inclusion programmes, the ability to effectively generate, analyse, and use data has become central to programme effectiveness. Across participating states in Samaveshi Aajeevika Yojana (SAY), vast amounts of administrative data are generated through participant identification and enrollment, household profiling, livelihood planning, coaching and mentoring interactions, programme monitoring, financial transactions, and convergence with government schemes.
This wealth of information provides a unique opportunity to strengthen programme delivery and support data-based decision-making. But how is this robust, rich data being used to inform programme decisions?
This brief, written in collaboration with the Centre for Research in Schemes and Policy (CRISP), discusses how the success of SAY as it scales will depend on its ability to use data to monitor quality programme implementation, support timely course correction, and improve implementation effectiveness to ensure sustained impact.