实体数据管理手册（英文版）_38页_14mb

Entity Data Management Handbook Summary

Core Content

The Entity Data Management Handbook, third edition, published in 2017, provides an in-depth look at the role, importance, and challenges of managing entity data in financial institutions and capital markets. It emphasizes the criticality of accurate, complete, and up-to-date entity data for regulatory compliance, risk management, sanctions screening, and operational efficiency.

Main Points

Importance of Entity Data

• Entity data is essential for the smooth operation of capital markets.
• It plays a key role in risk management, customer service, and regulatory compliance.
• The 2008 financial crisis highlighted the need for better entity data to track transactions and manage counterparty risk.

Regulatory Drivers

• Regulations like MiFID II and MiFIR are pushing for the use of Legal Entity Identifiers (LEIs) in transaction reporting.
• The G20 mandated the creation of a global LEI system to help avoid future financial crises and improve risk transparency.
• Other relevant regulations include Dodd-Frank, EMIR, Solvency II, Market Abuse Regulation (MAR), Securities Financing Transactions Regulation (SFTR), and GDPR.

LEI Overview

• 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 required for regulatory compliance and risk monitoring.
• LEI adoption has been slow but is expected to accelerate with the implementation of MiFID II and MiFIR in January 2018.

Key Features of LEI

• No LEI, no trade is a common industry mantra due to regulatory mandates.
• LEI data quality is a priority, with the Global LEI Foundation (GLEIF) introducing a data quality management program in 2016.
• Level 2 data (ownership hierarchy and beneficial ownership) is being developed and will be available for most LEIs by early 2018.

Challenges and Opportunities

Challenges

• KYC compliance is a major challenge, requiring accurate and up-to-date entity data.
• Sanctions screening and beneficial ownership identification are complex due to the dynamic nature of corporate structures.
• Data management is resource-intensive, especially with the need to track ownership changes and ensure data accuracy.

Opportunities

• External data providers like Bureau van Dijk and SWIFTRef are offering comprehensive entity data solutions.
• Emerging technologies such as cloud computing, machine learning, and digital diagnostic tools are enhancing entity data management capabilities.
• Artificial Intelligence (AI) is expected to play a growing role in analyzing entity behavior and detecting financial crime.

Key Entities and Services

Bureau van Dijk

• Provides entity data on over 220 million private companies globally.
• Offers standardized financial data, corporate ownership structures, directors' information, and sanctions data.
• Supports KYC checks, risk management, and regulatory reporting.

SWIFTRef

• Offers Entity Plus directory to help with accurate entity identification.
• Provides legal hierarchy information and cross-references to support regulatory compliance.

GLEIF (Global Legal Entity Identifier Foundation)

• Manages the global LEI system and ensures data quality and consistency.
• Coordinates with Local Operating Units (LOUs) to issue and maintain LEIs.
• Works with SWIFT, ANNA, and XBRL Global to improve LEI mapping with BIC codes, ISINs, and XBRL taxonomies.

Key Statistics

• Over 523,000 LEIs have been issued globally.
• 30 operational LOUs exist, with 8 accredited by GLEIF and the rest initially endorsed by the Regulatory Oversight Committee (ROC).
• Top three country issuers: US, Italy, Germany.

Future Outlook

• The LEI system is expected to evolve with the introduction of Level 2 data and registration agents.
• RegTech events are being held in London and New York in 2017 to discuss the impact of regulation on data management.
• The Bloomberg LEI system is now an accredited issuer and offers tools for LEI registration and data integration.

Glossary and Resources

• The handbook includes a glossary for key terms.
• Additional information on regulatory data can be found in the Regulatory Data Handbook available at http://resource.datamanagementreview.com/handbook-regulatory-data-fourth-edition.

Call to Action

• Financial institutions are encouraged to adopt LEIs to meet regulatory requirements.
• Visit www.DataManagementReview.com to stay updated on entity data developments.
• Sign up for Bloomberg LEI services at lei.bloomberg.com or use LEI <GO> on the Bloomberg Terminal.

Conclusion

Entity data management is a critical component of modern financial operations, driven by regulatory demands and the need for transparency and risk mitigation. The LEI system is at the forefront of these efforts, with continued development and integration into global financial frameworks. As the industry moves toward more automated and data-driven processes, the role of accurate entity data will only grow in importance.