Key Highlights
- RBI has launched the Supervisory Data Quality Index (sDQI) to gauge data integrity across Scheduled Commercial Banks.
- The index is built on four pillars: Accuracy, Timeliness, Completeness, and Consistency.
- Aggregate sDQI climbed from 88.6 in March 2024 to 89.3 in March 2025, driven mainly by improvements in timeliness and consistency.
- In March 2025, 42 banks scored above 90, marking a growing cohort of “Good” performers.
- The tool reinforces the Master Direction on Filing of Supervisory Returns 2024, enhancing transparency and regulatory discipline.
Detailed Insights
Index Evolution – The sDQI was conceived to provide a single, comparable metric that reflects the quality of supervisory data submitted by banks. By aggregating four distinct dimensions, it offers a holistic view of data health.
Performance Trends – Between March 2024 and March 2025, the most pronounced gains were observed in the Timeliness dimension (from 86.8 to 89.1) and Consistency (from 85.0 to 85.7). Accuracy improved modestly (86.1 to 86.7) while Completeness remained consistently high (around 95.8).
Score Distribution – RBI categorised banks into four bands: Less than 70 – Major Concerns, 70–80 – Needs Improvement, 80–90 – Acceptable, and Above 90 – Good. In March 2025, 44 banks fell into the 80–90 band and 42 banks achieved scores above 90.
Parameter‑wise Analysis – The chart released by RBI illustrates that while Completeness remains robust across all sectors, Timeliness and Consistency show the most variability, underscoring the need for targeted interventions.
Returns Covered – The sDQI incorporates data from a range of supervisory returns, including ALE, RAQ, ROR, RBS, LR, RCA, and CRILC, ensuring a comprehensive assessment of bank performance.