实体数据管理手册（英文版）_40页-14mb

Entity Data Management Handbook Summary

Core Content

This document is the third edition of the Entity Data Management Handbook, sponsored by Bureau van Dijk. It provides an overview of the importance of entity data in financial institutions and capital markets, focusing on data quality, regulatory compliance, and technological advancements in managing entity data. The handbook highlights the role of Legal Entity Identifiers (LEIs) in facilitating transaction reporting, risk management, and sanctions screening, as well as the challenges and opportunities in the evolving entity data landscape.

Main Points

• Entity data is crucial for:

  • Identifying clients, counterparties, and issuers of securities
  • Supporting risk management, compliance, sanctions screening, and regulatory reporting
  • Enhancing operational efficiency and decision-making

• Bureau van Dijk is a leading provider of entity data, offering information on 220 million private companies worldwide. Their data includes:

  • Standardised financials
  • Credit metrics
  • Corporate ownership structures
  • Directorships
  • PEPs (Politically Exposed Persons) and sanctions data
  • A wide range of identifiers such as LEIs, GIINs, ISINs, and VAT/Tax numbers

• Legal Entity Identifier (LEI) is a 20-digit alphanumeric code that uniquely identifies legal entities in financial transactions. It is based on the ISO 17442 standard and is essential for:

  • MiFID II and MiFIR compliance (effective from January 3, 2018)
  • Transaction reporting
  • Risk assessment and systemic risk monitoring

• Regulatory landscape includes:

  • Dodd-Frank Act (US): Aimed at financial transparency and accountability, it has driven the need for standardised reference data.
  • EMIR (EU): Focuses on OTC derivatives transparency and risk management.
  • MiFID II and MiFIR: Mandate the use of LEIs in transaction reporting, leading to the "no LEI, no trade" principle.
  • GDPR: Influences how entity data is managed and shared, particularly in terms of data privacy and compliance.

• Challenges in entity data management include:

  • Keeping up with dynamic ownership structures and sanctions lists
  • Managing data quality, accuracy, and timeliness
  • Dealing with complex regulatory requirements and international compliance

• Opportunities include:

  • Use of emerging technologies like cloud computing, machine learning, and artificial intelligence (AI) to improve data management
  • Automated screening tools that help identify and monitor sanctioned entities and their beneficial ownership
  • Cross-referencing of entity identifiers to support regulatory reporting and risk analysis

Key Information

• LEI adoption is increasing due to regulatory mandates, particularly from MiFID II and MiFIR, which require LEIs for transaction reporting.
• Bureau van Dijk plays a significant role in providing entity data solutions, including:
  • Orbis database: Hosts data on 220 million private companies
  • SWIFTRef's Entity Plus directory: Offers cross-referenced identifiers, legal hierarchy, and sanctions screening
• The Global LEI Foundation (GLEIF) is responsible for operating the global LEI system, setting standards, and monitoring data quality.
• LEI data quality is supported by:
  • Monthly reports from GLEIF
  • Data challenge facility to verify and update records
  • Level 2 data (ownership relationships) is being introduced, with most LEIs expected to have this data by early 2018

Technology and Innovation

• Cloud computing and machine learning are being used to enhance entity data management.
• Artificial intelligence (AI) is expected to play a growing role in detecting financial crime, analyzing entity behavior, and improving data quality.
• Integration of LEI with other identifiers (e.g., BIC codes, ISINs) is being developed to simplify data usage and enhance reporting.

Future Outlook

• Regulatory pressure is expected to continue driving LEI adoption and entity data management.
• AI and automation will become more integral in managing complex data sets and compliance obligations.
• Collaboration between regulators, financial institutions, and technology providers will be essential in ensuring data accuracy, timeliness, and compliance.

Conclusion

The Entity Data Management Handbook underscores the critical role of accurate and up-to-date entity data in the financial services industry. It highlights the importance of LEIs in regulatory compliance, risk management, and transaction transparency, and outlines the evolving challenges and opportunities in this space. As regulations like MiFID II and GDPR shape the future, the adoption of entity data solutions will become even more essential for financial institutions to operate efficiently and stay compliant.