NITI Aayog’s India’s Data Imperative: Quality Pivot
As Indians rely more on digital public infrastructure, the government think tank argued that data quality needs fixing.
Key facts
- Finding: fiscal leakage and duplicate records raise welfare spending by 4-7% a year.
- Concern: mis-targeted schemes, slow corrections and lost public trust.
- Ecosystem: Aadhaar, UPI, Ayushman Bharat, DBT and Aadhaar e-KYC.
| Indicator | Figure |
|---|---|
| Aadhaar authentications | 27+ billion |
| UPI transactions | ₹23.9 trillion a month |
| Ayushman Bharat IDs | 369 million |
| DBT transfers | ₹5.47 lakh crore, 330+ schemes |
| e-KYC transactions | 1.8 billion |
| Mobile / internet users | 1.2 billion / 800 million |
Why it matters
- Cuts leakage, enables data-driven governance, builds trust, supports AI and eases cross-ministry coordination.
Challenges
- Siloed systems, no data custodians, legacy IT, quantity over accuracy and weak data culture.
Recommended measures
- Appoint data custodians at national, state and district levels.
- Tie data accuracy to appraisals and budgets.
- Standardise formats with IndEA and NDGFP; use the Data Quality Scorecard; train officials.
Exam angle
- Report: India’s Data Imperative: The Pivot Towards Quality.
- Savings estimate: 4-7% of welfare budget.