Co-Founder and Director Sambodhi Research and Communications Noida, Uttar Pradesh, India
State-led welfare programmes in India are driven by a battery of frontline workers. As the last mile connect to programme recipients, the frontline workers have a strong interface with data about reach, access and absorption. More importantly, they are also the first users of this data as day-to-day decision enablers. Troves of data generated through this last-mile engagement feed into the government administrative data ecosystem aggregated, assimilated and analyzed at multiple levels – district, state and country. Technology plays a critical role in the collection, upward integration and final use of the data and insights generated in this value chain. This discussion will showcase how improving individual capacities on better use of tech solutions improves data efficacy from the ground up. It will also present learnings from system-level use cases of data-tech tools like data mining and machine learning in harnessing and better use of public intent government administrative data.