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2017 – The Year of Data

2017 may be the Year of the Rooster in the Chinese calendar, but in the capital markets calendar it is the Year of Data – data that will drive regulatory compliance, business transformation, client satisfaction, improved performance and more! Of course, data has been in the picture since way before the last Year of the…

A Web of Complexity

By Martijn Groot, vice president of product management, Asset Control At the centre of financial services risk management and regulatory compliance is the convergence of data from a huge range of information silos, departments, product lines, customers and risk categories. Risk and finance are at the end of an extensive chain, examining the consolidated threads,…

Recorded Webinar: Managing entity data hierarchies and keeping track of sanctions, watch lists and PEPs across KYC processes

Managing entity data and entity ownership hierarchies to ensure Know Your Customer (KYC) compliance is an ongoing challenge for many financial institutions. The webinar will discuss the most pressing concerns around entity and hierarchy data, and consider how to ensure you are effectively managing entity data, hierarchies, sanctions, watch lists and politically exposed persons (PEPs)…

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…

The Challenges and Opportunities of Data Lineage

Data lineage is driven by regulation and impeded by technology complexity and poor understanding, although once these impediments are tackled, successful implementation can yield significant business and operational benefits. The challenges and opportunities of establishing a sustainable solution for data lineage were discussed during a recent A-Team Group webinar that was hosted by A-Team editor…

Recorded Webinar: The missing piece of the data governance puzzle

Effective data governance delivers data quality and controls across the enterprise, and ensures financial institutions can meet regulators’ demands for transparency and full audit trails. But current approaches to data governance that rely on software and policies are ineffective without the right metadata flowing through them. Listen to us on this webinar where we will…

Don’t Forget the Internal Data Controls When You Outsource

By Andrew Sexton, Director of Curium Data Systems Asset managers and other financial services companies outsource many business functions across the enterprise to service providers, which enables them to focus on their core competencies such as product development and investment performance. The data management component supporting those functions is often included in the outsourcing arrangement….

Recorded Webinar: How to establish a sustainable solution for data lineage

The implementation of data lineage is complex but necessary, driven by regulation such as BCBS 239 and internal needs to gain a better understanding of risk, reduce systems complexity and eliminate duplicate data and processes. The webinar will discuss the essential elements of data lineage, how they can be implemented, and the beneficial outcomes of…

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…

Blockchain Can Clear Data Bottlenecks, Experts Say

Achieving the goal of monetising data assets through disruptive technologies such as blockchain, machine learning and data ontology standards requires thoughtful harnessing of these resources – and collaboration among units of firms, according to data management experts who spoke in a panel discussion on data innovation at the Data Management Summit hosted by A-Team Group…