RBI’s push for Better Data: India’s Data Ecosystem is being REBUILT
India’s economy is evolving at a pace that traditional datasets can no longer keep up with. Our consumption patterns are shifting, digital platforms dominate payments, and new-age sectors from electric mobility to semiconductors are reshaping production. In this context, the quality and timeliness of national statistics become central to policymaking.
At a recent consultative workshop organised by the Ministry of Statistics & Programme Implementation (MoSPI), RBI Deputy Governor Dr. Poonam Gupta highlighted a series of initiatives aimed at strengthening India’s statistical architecture. Her address makes one thing clear: data-driven governance is no longer optional; it’s indispensable.
1. Why Updating GDP, CPI and IIP Is Critical Today
Base revisions of macroeconomic indicators may appear technical, but they influence everything from inflation measurement to industrial growth trends. India’s economic structure has moved far beyond what earlier base years represented. Digitalisation, urbanisation, changing consumption habits and deeper financial inclusion have fundamentally altered how Indians earn, spend and save.
Upgrading these series ensures:
- More accurate inflation tracking
- Industrial output reflecting today’s diversified economy
- Better representation of services-led growth
- Alignment with updated global statistical standards
MoSPI’s ongoing base revision exercise is, therefore, foundational to credible policymaking.
2. RBI’s Three-Pronged approach to Better Data
Dr. Gupta grouped the RBI’s statistical initiatives into three broad categories. Together, they aim to create a more granular, timely and forward-looking data ecosystem.
3. Strengthening ‘Hard Data’: More Depth, More Frequency
RBI publishes extensive data across banking, external sector, NBFCs, payments, state finances and more. This remains the backbone of India’s official statistics.
Key enhancements underway:
i. Expanding and Modernising DBIE –
The RBI’s Database on Indian Economy (DBIE) has grown into a comprehensive public data portal, now featuring:
- Over 2,000 tables
- More than 20,000 data series
Planned upgrades include API-based data access, redesigned architecture, better search tools and improved visualisation—aiming to make DBIE more intuitive for users ranging from policymakers to researchers.
ii. New Data on Financial Resource Flows –
A significant structural shift has taken place: non-bank sources now contribute nearly half of the resources raised by the commercial sector. These include:
- Corporate bond issuances
- Commercial paper
- Equity markets
- NBFC lending
- External commercial borrowings
- Foreign direct investment
To capture this more accurately, the RBI has begun publishing monthly tables on:
- Flow of financial resources
- Outstanding credit to the commercial sector
This marks a major step toward understanding the true depth and diversity of India’s financing ecosystem.
iii. Faster Balance of Payments (BoP) Updates –
The lag for quarterly BoP data has been reduced from 90 days to around 60 days, with plans for monthly BoP releases (at a slightly aggregated level) with an estimated 40-day lag.
This makes external-sector monitoring more responsive and policy-relevant.
iv. Upgrading Surveys to Capture Sentiment & Expectations Better
RBI conducts eight major surveys that provide early signals about economic activity, consumer confidence and corporate outlook. Reforms planned are
- Enterprise surveys such as OBICUS and Outlook Surveys will be refreshed to incorporate new industries and refined methodologies.
- Household surveys on inflation expectations will undergo a redesign to reduce the perception–reality gap.
- Scope expansion to rural areas, improved questionnaire structure, and the possible introduction of household panels.
These changes are crucial as surveys often guide policy decisions before hard data becomes available.
v. Robust Forecasting Framework
Under the inflation-targeting regime, the RBI must prepare forward-looking projections for inflation and GDP. Forecasting in today’s world—characterised by food price volatility, global shocks and supply-chain disruptions—is inherently challenging.
To enhance accuracy and transparency, RBI uses:
- A suite of econometric models (structural, dynamic factor, ARIMAX, VARX)
- Sector-level indicators
- High-frequency datasets
- Detailed consultations with banks, market participants, economists and analysts
Importantly, internal assessments show no systematic bias in the MPC’s forecasts, an essential indicator of credibility.
4. What These Reforms Mean for Policymaking
These initiatives collectively represent a major shift in how economic information is compiled, analysed and disseminated in India. The impact is threefold:
- Timeliness: Faster availability of external, banking and financial data
- Accuracy: Better capture of new industries, changing consumption and digital patterns
- Transparency: More granular datasets and unbiased forecast
For policymakers, analysts, academics and businesses, this enhanced data architecture improves decision-making, risk assessment and strategic planning.
As the economy becomes more complex, the data supporting it must evolve too.
With base revisions, upgraded data portals, modernised surveys and faster releases, India is strengthening the infrastructure that underpins fiscal, monetary and regulatory decisions. This is not merely a technical upgrade, it is a move toward more agile, evidence-based policymaking that can keep pace with the ambitions of a rapidly growing economy.
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