RBI data quality index rises to 93.3 in June quarter

The Reserve Bank of India said yesterday that the data quality of scheduled commercial banks improved in the June 2026 quarter. Its Supervisory Data Quality Index rose to 93.3 from 90.7 in the March quarter, with three of four parameters improving. Accuracy jumped to 96.3 from 86.8, completeness to 96.9 from 96.4 and timeliness to 92.8 from 92.1, while consistency eased to 87.3 from 87.4. Small finance banks scored highest at 93.8 against 90.4. Public sector and foreign banks each scored 93.7, from 90.7 and 91.4, while private banks rose to 92.2 from 89.3.

Written by AI from RBI · not yet reviewed by an editor · Published 23 Sept 2026, 12:28 pm IST

Source

RBI · read the original report ↗

#rbi#banking#data quality#scheduled commercial banks#regulation

Desk check · compared with the source

What the desk checked (4)

RBI's Supervisory Data Quality Index rose to 93.3 in the June 2026 quarter from 90.7 in the March quarter. — Attributed to RBI; figures appear in source.
Accuracy jumped to 96.3 from 86.8, completeness to 96.9 from 96.4, timeliness to 92.8 from 92.1, while consistency eased to 87.3 from 87.4. — Figures appear in source; internally consistent with the claim that three of four parameters improved.
Small finance banks scored highest at 93.8, against 90.4 in January-March. — Figure appears in source and is the highest among the bank-group scores listed.
Public sector and foreign banks each scored 93.7, up from 90.7 and 91.4; private banks rose to 92.2 from 89.3. — Figures appear in source; no independent verification possible.

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Analysts’ view opinion

AI Economic Analyst

A supervisory data-quality score is not a market-moving number, but it is a quiet input into the cost of credit. Better accuracy in what banks report to the RBI means the regulator can spot stress earlier and calibrate rules with less guesswork — and the cheapest bank crisis is the one caught in the data stage. The jump in accuracy from 86.8 to 96.3 is the headline worth noting; the small slip in consistency, from 87.4 to 87.3, is the reminder that reporting discipline is still uneven.

Cleaner supervisory data lowers the regulator's information cost, which over time tends to mean fewer blunt, system-wide restrictions and more targeted interventions — a benefit that ultimately flows to borrowers.
The upfront cost sits with banks: compliance systems, reporting staff and IT spend, an overhead that weighs proportionally harder on smaller lenders than on large balance sheets.
Small finance banks topping the table at 93.8, up from 90.4, is notable precisely because they have the least scale to absorb compliance costs — it suggests the investment is being made rather than deferred.
Private banks improving to 92.2 but still trailing public sector and foreign banks at 93.7 each is an interesting reversal of the usual assumption that private lenders lead on systems.
Consistency being the lone laggard matters economically, because inconsistent data across returns is what forces supervisors to re-check, delay decisions and add friction rather than rely on the numbers.

What to watch — Watch whether consistency turns around in the next quarter and whether the gains hold once the improvement is no longer new — a one-quarter jump in accuracy is progress, a sustained level is a structural change in supervisory capacity.

The story establishes an index reading and its components only; it does not tell us how the index is constructed, what drove the accuracy jump, whether any specific bank or loan book was affected, or any impact on lending rates, credit growth or asset quality.

Deep dive

Research brief · 8 facts · 3 dates · exam-ready

The brief

Context

The Reserve Bank of India periodically assesses the quality of supervisory returns that scheduled commercial banks file with it, using a Supervisory Data Quality Index (sDQI) built on four parameters — accuracy, completeness, timeliness and consistency. Supervisory data is the raw material for RBI's off-site surveillance of bank health, so its reliability shapes the regulator's ability to spot stress early. RBI said yesterday that this data quality improved in the June 2026 quarter over the March quarter, with the index rising to 93.3 from 90.7. Three of four parameters improved; only consistency slipped marginally.

Key facts

RBI's Supervisory Data Quality Index for scheduled commercial banks rose to 93.3 in the June 2026 quarter from 90.7 in the March quarter.
Accuracy recorded the sharpest rise, jumping to 96.3 from 86.8 in March.
Completeness edged up to 96.9 from 96.4.
Timeliness improved to 92.8 from 92.1.
Consistency was the only parameter to fall, easing to 87.3 from 87.4.
Small finance banks recorded the highest bank-group score at 93.8 in the June quarter, against 90.4 in January-March.
Public sector banks and foreign banks both scored 93.7, up from 90.7 and 91.4 respectively in the previous quarter.
Private sector banks' score rose to 92.2 from 89.3.

Timeline

January-March (March quarter)Supervisory Data Quality Index stood at 90.7; accuracy 86.8, completeness 96.4, timeliness 92.1, consistency 87.4.
June quarter of 2026Index improved to 93.3, with accuracy at 96.3, completeness 96.9, timeliness 92.8 and consistency 87.3.
Yesterday (as per the report)RBI stated that data quality of scheduled commercial banks improved in the June 2026 quarter.

Who has a stake

Reserve Bank of India — Relies on accurate, timely bank returns for off-site supervision; publishes the Supervisory Data Quality Index to track and push improvement.
Scheduled commercial banks — Their reporting systems are being scored; weak data quality invites supervisory scrutiny, while improvement signals better internal controls.
Small finance banks — Topped the bank-group rankings at 93.8, up from 90.4, indicating the sharpest reporting improvement among groups.
Public sector and foreign banks — Both at 93.7; public sector banks improved from 90.7 and foreign banks from 91.4.
Private sector banks — Lowest among the groups cited at 92.2, though up from 89.3, leaving room for improvement.

Why it matters

Banking supervision in India is increasingly data-driven, and regulatory decisions on capital, asset quality and risk depend on what banks report. A rise in the data quality index, especially the sharp jump in accuracy from 86.8 to 96.3, suggests fewer reporting errors reaching the regulator. The lone dip in consistency shows that comparability of data across returns and over time remains the weakest link.

UPSC angle

Prelims pointers

RBI's Supervisory Data Quality Index (sDQI) measures the quality of supervisory returns filed by scheduled commercial banks.
The index has four parameters: accuracy, completeness, timeliness and consistency.
sDQI rose to 93.3 in the June 2026 quarter from 90.7 in the March quarter.
Accuracy improved most sharply: 86.8 to 96.3; consistency alone fell, 87.4 to 87.3.
Bank-group scores in the June quarter: small finance banks 93.8, public sector banks 93.7, foreign banks 93.7, private banks 92.2.

Mains framing

The reliability of supervisory data is the foundation of risk-based banking supervision: RBI's off-site assessment of capital adequacy, asset quality and liquidity is only as good as the returns banks submit. The June 2026 quarter numbers show broad improvement in the Supervisory Data Quality Index to 93.3 from 90.7, driven largely by a nearly ten-point jump in accuracy to 96.3, with completeness and timeliness also inching up. The one weak spot is consistency, which fell marginally to 87.3, implying that banks may still report figures that do not reconcile across returns or across periods even when individual submissions are accurate and on time. Across bank groups, the spread is narrowing, with small finance banks at 93.8 ahead of public sector and foreign banks at 93.7 and private banks trailing at 92.2, suggesting that data-governance capacity is not simply a function of bank size or ownership. The way forward, on the evidence of the index itself, lies in sustaining accuracy gains while addressing consistency — the parameter that has not responded to whatever drove improvement elsewhere; the source does not specify RBI's remedial measures.

Key terms

Supervisory Data Quality Index (sDQI): RBI's composite score rating the quality of supervisory data submitted by banks, based on accuracy, completeness, timeliness and consistency.
Scheduled commercial banks: Banks included in the second schedule of the RBI Act that file regulatory returns with the Reserve Bank; the universe covered by this index.
Small finance banks: A differentiated category of banks that scored highest on data quality at 93.8 in the June 2026 quarter.
Consistency (parameter): Measure of whether reported data reconciles across returns and periods; the only sDQI parameter to fall, to 87.3 from 87.4.
Timeliness (parameter): Measure of whether banks submit supervisory returns within prescribed deadlines; improved to 92.8 from 92.1.

Practice questions

What is the Supervisory Data Quality Index, and why does the quality of supervisory returns matter for risk-based banking supervision in India?
The June 2026 quarter saw accuracy jump to 96.3 while consistency slipped to 87.3. Discuss what this divergence reveals about data governance in Indian banks.
Bank-group scores ranged from 92.2 for private banks to 93.8 for small finance banks. Examine whether ownership or size explains differences in regulatory reporting quality.

Grounded only in the source report — figures and dates are the source's, not inferred.

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