PFMS and UPI data are clarifying expenditure growth across sectors and regions, providing policy-relevant insights.

AI usage at Mospi is confined to analytical work with strict guardrails to prevent hallucinations, relying on verified and validated sources.

India’s statistical system is being made more agile by enabling free data flow across ministries and states through data harmonisation with standardized definitions, embedded identifiers, and machine-readable formats.

At the sub-national level, Mospi works with State DESs to align labour, inflation, and industrial data with central protocols, and is issuing guidelines for Gross State Domestic Product while collaborating with states on District Domestic Product estimates for comparability.

Household surveys have moved from pen-and-paper to tablets with real-time uploads, reflecting a preference for timely data (’yesterday’s data today’).

AI is aiding enumerators in classifying occupations and industries to improve data quality, and its use is tightly controlled.

Mospi has begun releasing district-level analyses to support local decision-making, expanding beyond state and national level aggregates.

Mospi tracks about 28 international indices, reviews data sources and methodologies with concerned ministries, and notes revisions such as the World Bank replacing its Ease of Doing Business ranking with the B-READY Index for India.

Data interoperability aims to eliminate the need for citizens and businesses to submit the same information multiple times to different government bodies.

Interoperable data is improving service delivery through initiatives like PM Gati Shakti and One Nation, One Ration Card, with emphasis on scalable digital services accessible to all.