Website Help & FAQs

  1. What is MCA-Corporate Data Management?
  2. To address the issues such as Data quality & integrity, Generation of customized statistical reports and dissemination of shareable information with internal and external stakeholder’s, The Ministry of Corporate Affairs Government of India has initiated this project.

  3. What are the objectives of Corporate Data Management?
    • Extraction of MCA21 data and carry out cleaning to resolve identified data quality & integrity issues.
    • Generate Customized Statistical Reports using Business Intelligence / Data Mining & Analytics tools.
    • Disseminate shareable information after cleaning of data.
    • Establish a Business Intelligence / Data Mining Resource Facility within the Ministry.
    • Institutional Capacity Building on Business Intelligence / Data Mining & Analytics.

  4. What are the expectations from Corporate Data Management?
    • Cleaned MCA21 data.
    • Company unit level data format.
    • Time series and cross section analysis reports
    • Custom and dynamic reports.
    • Visual analytics.

  5. Who are the stakeholders of the MCA Corporate Data Management Project?
  6. This project is being driven by Ministry of Corporate Affairs and the spectrum of stakeholders encompasses:

       1. Stakeholders who would receive the various reports/outputs that would be generated from this system:
             a. Internal stakeholders such as:
                      i. Various units within Ministry of Corporate Affairs (MCA) such as Policy, Cost Audit, Research & Analysis, Statistics Divisions and                   affiliated offices such as Competition Commission of India (CCI), Serious Fraud Investigation Office (SFIO), etc.

             b. External stakeholders such as:
                      i. Other government Ministries and departments such as Central Statistical Office (CSO), Reserve Bank of India (RBI), Department of                   Industrial Policy and Promotion (DIPP), Securities and Exchange Board of India (SEBI), Department of Electronics & Information                   Technology (Deity), etc.

                      ii. Non-government stakeholders such as Rating Agencies, Research agencies, consultancy firms, Corporate Data analytic software                   firms, etc.

       2. National Informatics Centre (NIC) as technology governance body which shall provide technical guidance and advice in the execution of this        project. It shall also support MCA in approval of the DPR, selection of Implementing Agency and all other technology related subjects.

       3. Indian Institute of Corporate Affairs (IICA) has been engaged to provide support in institutional capacity building within the Ministry by way of        organizing trainings, workshops, seminar, conferences, etc. IICA is expected to provide technical and logistics support for effective conduct of        these capacity building activities.

       4. National Informatics Centre Services Inc. (NICSI) as technology services provider for execution of this project

       5. NICSI empaneled vendor (referred to hereafter as Implementing Agency-IA) selected to set up the in house data warehouse and analytics        facility

       6. National Institute for Smart Government (NISG) as nodal agency for providing manpower as Technical Support Group (TSG).

  7. What is the difference between MCA21 and Corporate Data Management?
    • Corporate Data Management has provided a forward linkage to the MCA21 data repository by transforming transactional system data into a BI enabled data warehouse with analytical and historical linkages within the data.

  8. What is BI (Business Intelligence)?
    • Business Intelligence (BI) is a broad category of computer software solutions that enables a company or organization to gain insight into its critical operations through reporting applications and analysis tools.

  9. What are the sources that have been used to generate the reports from Corporate Data Management?
    • The reports are being generated on the data that have been received from the MCA21 such as PDF’s (E-forms), XML’s, XBRL and attachments.

  10. What is TSG (Technical Support Group)?
    • This project would require specialized manpower having skills in the areas of Economics/Statistics/Commerce and Information Technology. This human resource requirement is proposed to be managed through a Technical Support Group (TSG). TSG would analyze and develop appropriate business rules to detect data quality issues, and subsequently clean the data. This data warehouse system would be used by TSG to perform statistical analysis and produce various analytical reports. TSG members would also create custom reports and modify existing reports based on the day to day requirements.

  11. Who is funding the project Corporate Data Management?
    • The scheme is proposed to be funded through Gross Budgetary Support (GBS) for Plan Scheme “Corporate Data Management” of the Central Government.

  12. What are the advantages from Corporate Data Management to MCA?
    • To provide a forward linkage to the MCA21 data repository by transforming transactional system into a data warehouse, MCA intended to setup Corporate Data Management an “in-house data mining and analytics facility”.
    • Through Corporate Data Management information available in MCA21 database shall be validated and cleansed by applying business rules.
    • This cleansed data shall be used by the MCA for policy making and regulatory purposes.
    • The reports and data will also be made available to the other interested stakeholders and public.

  13. How the data has been extracted from E-forms (PDF’s)?
    • For every form that needs reporting on top of it, the description of the Fields in the Form needs to be extracted manually into a CSV File. These CSV Files will be uploaded via ETL into EDW. This data acts as a Master data for the form.

  14. What is Metadata?
    • Data about the data is called metadata. Information about the datasets being published through a standard structure comprising of controlled vocabularies on government sectors, dataset types, jurisdictions, access mode, etc. Apart from facilitating easy access to data, it is useful for federation & integration of data catalogs.

  15. What is XBRL?
    • A type of XML Format and uses the XML syntax and related XML technologies such as XML Schema, XLink, XPath, and Namespaces. One use of XBRL is to define and exchange financial information, such as a financial statement.

  16. What are the principles of Data Sharing?
  17. The principles on which data sharing and accessibility need to be based on

    • Openness
    • Flexibility
    • Transparency
    • Quality
    • Security
    • Machine-readable.