Reading Time: 3 mins

RBI shares their experience of XBRL implementation

Reserve Bank of India, the apex financial institution of the country had implemented data collection in standardised format since 2008 as a part of their regulatory and supervisory function. The data which is collected from the commercial banks, financial institutions, authorised foreign exchange dealers and non-banking financial institutions is in XBRL format and is called Return. RBI rolled out the implementation in phases since 2008, wherein Phase I covered 7 returns, Phase II which started in 2012 covers 42 returns, and currently 97 returns have been developed for XBRL reporting. The list of the returns is available on the website of the Reserve Bank .

RBI – XBRL Implementation:

The 97 returns which are to be reported in XBRL covers the following:

  • Financial accounts of banks
  • Regulatory monitoring like Cash Reserve Ratio, Statutory Liquidity Ratio, Unclaimed Deposits, Gap Positions and Balances (GPB), Capital Adequacy(designed as per Basel II guidelines) etc.
  • Supervisory monitoring like Off-Site Monitoring and Surveillance System (OSMOS), Fraud Monitoring System

When the XBRL reporting was initiated by RBI it was limited to Scheduled Commercials Banks; it has now been extended to Urban Co-operative Banks, Non-Banking Financial Institutions (NBFCs) and primary dealers.

RBI has created a Central Repository of Information for Large Credits (CRILC) in order to track and review the exposures of large borrowers more effectively across banks and to take corrective measures.

The benefits that the Reserve Bank of India has derived from the implementation of XBRL are the following:

  • Provides more comprehensive information on each data element with definitions, hierarchy, interrelationships and metadata
  • Ensures more consistent and accurate data with proper validation
  • Ensures elimination of unnecessary duplication of data in returns

Adopting the new technology (XBRL) was a big challenge for RBI as well as the regulated entities. Awareness creation among the regulated entities and numerous workshops including hands-on sessions were organised. RBI has also provided excel templates for data entry which is later converted into XBRL instance document and does validation on an offline mode. For complex reports it was difficult to generate reports based on XBRL standards. Currently XBRL data is moved to the Data Warehouse (DW) at the Reserve Bank and the reports are generated from the DW using a Business Object tool.

Reserve Bank has decided to take some corrective steps to improve the existing system of reporting in XBRL which are as follows:

  1. The full implementation of the project will be successful only when the reporting entities will be able to generate the reports in XBRL format from the source system. In order to make this happen, the reporting entities will have to integrate multiple systems at their end and link it to an automated XBRL generation software.


      2.As XBRL identifies each data point through the tags and metadata, RBI will move towards an element-based reporting approach from the existing return-based approach


3. Reserve Bank aims to capture all the data under XBRLbased reporting for all the regulated and supervised entities.


About DataTracks: DataTracks is a global leader in preparation of financial statements in XBRL and iXBRL formats for filing with regulators. With a track record of over 10 years, DataTracks prepares more than 12,000 XBRL statements annually for filing with regulators such as SEC in the United States, HMRC in the United Kingdom, Revenue in Ireland, MCA in India and ACRA in Singapore. DataTracks provides world-class services with its team of certified accountants experienced in US GAAP, UK GAAP, India GAAP and IFRS.

The views expressed are that of the authors and DataTracks is not responsible for the contents or views expressed therein. If any part of this blog is incorrect, inappropriate or violates the IP rights of any person or organization, please alert us at We will take immediate action to correct any violation. To find out more about DataTracks, visit or send an email to

Schedule A Demo

Schedule A Demo