Data Management Insight Standards The latest content from across the platform
Recorded Webinar: Putting data management processes in place for MiFID II
The January 2018 compliance deadline for Markets in Financial Instruments Directive II (MiFID II) is approaching fast, so how ready are financial institutions to meet the directive’s requirements, what data management processes should they be prioritising to ensure compliance, and what outstanding challenges do they face? Also, what do regulators expect firms to have in…
MiFID II Handbook
As the 3 January 2018 compliance deadline for Markets in Financial Instruments Directive II (MiFID II) approaches, A-Team Group has pulled together everything you need to know about the regulation in a precise and concise handbook. The MiFID II Handbook, commissioned by Thomson Reuters, provides a guide to aspects of the regulation that will have…
The Reference Data Utility Handbook
The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted…
EDI Includes FIGI Codes in Version.2 of its Worldwide Adjustment Factor Feed
Exchange Data International (EDI) has released Version.2 of its worldwide adjustment factor feed service, including the addition of Financial Instrument Global Identifier (FIGI) codes in response to client requests in North America. The service allows users to compare a stock’s performance with adjusted pricing that considers distributions and corporate actions. Users can also compare historical…
Recorded Webinar: Shareholding Disclosure: Are Financial Firms on top of this regulatory challenge?
With MiFID 2, Basel, 871(m) and other more talked about regulations making headlines firms have their hands full. However, as regulators begin to focus on systemic risk the accuracy of disclosures is gaining greater attention. Listen to this webinar for a discussion on the following shareholding disclosure topics: What the shareholder disclosure requirements are, and…
Recorded Webinar: Meeting the data management challenges of MiFID II
The compliance deadline for Markets in Financial Instruments Directive II (MiFID II) has been pushed back a year to January 2018, giving financial institutions within its scope an opportunity to take a strategic rather than tactical approach to implementation. But whatever the approach, the scale of the regulation is large and the data management challenge…
Deriving True Business Value from the Global LEI
The Legal Entity Identifier (LEI) – the free-to-use entity identifier – has established itself as a viable standard for helping financial institutions identify unique business entities that are parties to financial transactions. But it’s widely accepted to have its limitations. In particular, a lack of standardization and ability to link to associated data sets is…
Recorded Webinar: The opportunities and challenges of open source symbology
Open source symbology initiatives that offer free access to unique identifiers designed to help financial institutions manage information from financial instruments to events and people are emerging in capital markets. Their aim is to overcome the complexity of managing multiple vendor and proprietary identifiers, and deliver a single open identifier set that can simplify data…
Regulatory Data Handbook – Fourth Edition
Need to know all the essentials about the regulations impacting data management? Welcome to the Fourth edition of our A-Team Regulatory Data Handbook which provides all the essentials about regulations impacting data management. A-Team’s series of Regulatory Data Handbooks are a great way to see at-a-glance: All the regulations that are impacting data management today A…
Recorded Webinar: Approaches to data quality
Underpinning all data management initiatives is the fundamental need to get data quality right. Poor data quality can be costly, impact customer service, lead to errors in risk management and regulatory reporting, and more. So, how can you improve data quality? How can you use rules, standardisation and technology to make improvements? And how is…