A-Team Insight White Paper
MiFID II Unbundling’s Silver Lining: Leveraging Streaming Big Data Analytics to Differentiate Execution Services
European MiFID II regulation’s unbundling of broker research from execution services raises the question of how execution service providers can differentiate what they offer once research is no longer part of their relationship with buy-side clients. Best-execution provisions and the performance of brokers’ platforms could become the primary differentiator. This raises a follow-up question –...
Breaking the EDM Mould
The regulatory drive for transparency across capital markets is pushing traditional enterprise data management (EDM) solutions, such as data warehouse platforms and extract, transform and load (ETL) systems, towards breaking point. An emerging and disruptive approach to EDM is based on open source high-performance data bus technologies that are particularly good at ingesting and routing...
Preparing for MiFID II Data Requirements
Markets in Financial Instruments Directive II (MiFID II) is a wide-ranging regulation that aims to add transparency to Europe’s financial services sector in order to ensure investor protection and integrity of markets. The regulation extends the scope of MiFID, which focused on equities, to cover pre-trade, trade and post-trade activities across many asset classes. This...
How Agile Data Management Can Power Business Transformation
Asset managers challenged by increasing regulatory costs and decreasing fees are embarking on business transformation programmes designed to provide more innovative ways to service clients and, in turn, help managers regain competitive edge in a difficult economic environment. Transformation programmes can range from an expansion of asset classes covered, to the introduction of new products...
Countdown To MiFID II: Best Execution, Brexit and Trading Infrastructure Best Practices
The events of 2016 have muddied the waters for financial institutions operating in Europe that need to figure out how planning for possible outcomes of Brexit will in turn affect compliance with European MiFID II regulation taking effect in January 2018. While it is widely recognised that firms will have to make major changes to...
Applying Open Data Principles to Financial Data Governance
To ensure sound data governance, an enterprise needs a centralised framework for understanding all data, typically an online data catalogue that lists data sources and the metadata that describes data characteristics and provenance. With a data catalogue in place, data quality and data management can then be addressed. Getting started on data governance can be...
Meeting the Complex Data Management Challenges of Shareholding Disclosures
Getting shareholder disclosure right has become a priority for financial institutions that are already required to monitor breaches of ownership thresholds that are used to protect sensitive industries, but must also comply with the EU Transparency Directive Amending Directive (TDAD). The directive came into effect in November 2015 and requires firms to analyse holdings of...
Managing Enterprise Data and Subscriptions Spend
Financial institutions consume a broad range of services on a subscription basis to meet their business needs. These include market data and electronic information services, subscriptions for print and web-based publications, and increasingly, consultancy, software, hardware and telecommunications services. As consumption rises, so too can costs, calling on firms to take a proactive approach to...
Harmonising the Approach to Regulatory Compliance
Regulatory compliance is key to financial institutions, but it can be costly and difficult to achieve in an environment where new regulations are constantly on the horizon and must be implemented efficiently and effectively. This White Paper, sponsored by Thomson Reuters and based on a survey of close to 70 senior data managers, discusses how...
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...