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Data Management Insight Webinars
Recorded Webinar: Data as a Service: Realizing its Value for Data Management
Faced with substantial and rapidly changing regulatory demands, trading firms are realizing the need for agility in the way they handle data. With global regulations like MiFID II and FRTB reshaping data requirements – and the prospect of future measures introducing yet more reporting obligations – firms need to put in place data management platforms...
Recorded Webinar: Learning from MiFID II for CAT reporting and data management
Compliance with the SEC’s Consolidated Audit Trail (CAT) regulation is just over 18 months away, meaning broker dealers within the scope of the regulation need to get started on their response. Like Markets in Financial Instruments Directive II (MiFID II), CAT reporting presents significant – and similar – data management challenges, particularly around customer, account...
Recorded Webinar: Driving business value from the LEI
The Legal Entity Identifier (LEI) has become a viable standard to help financial institutions identify business entities that are party to financial transactions and fulfil regulatory obligations for entity data. Linked to third-party, corporate hierarchy and beneficial ownership data, the potential of the LEI extends to meet not only regulatory requirements, but also the need...
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...
Recorded Webinar: How to leverage a market data inventory platform for enterprise-wide gains
What do global heads of market data thinking about the best ways of managing costs? What are the considerations, strengths and weaknesses of a market data inventory platform? Listen to this webinar where we reveal the findings from our survey including: How to best manage market data costs The functions and capabilities to look for...
Recorded Webinar: GDPR: How to build a data protection framework
Are you ready for the General Data Protection Regulation (GDPR)? With the GDPR deadline less than two years away, the pressure is on for organizations to understand how they will comply. Proper data management is part of the answer, but tying these efforts into a data governance framework to manage data protection is key to...
Recorded Webinar: Four categories of entity data quality management
We all know entity data is difficult. But there are four key categories of data quality management that you can apply to make measurable improvements to your entity data. Traditional methods no longer work. You need methods to accurately measure the quality of your data and give you the ability to take meaningful action. In...
Recorded Webinar: Solvency II Update: Are we effectively meeting the regulatory data requirement?
Nine months on from the January 2016 Solvency II compliance deadline, insurance firms and asset managers should have satisfactory responses to the regulation in place. But how effectively are they meeting the regulatory data requirement for the look-through and reporting elements of the regulation, and how best can they achieve not only compliance, but also...
Recorded Webinar: How to Track Data Lineage for Enterprise Data Management
Data lineage, the ability to track the source and lifecycle of your reference data, is becoming increasingly important as regulations call for greater transparency and risk managers require confidence in the data feeding their models. What regulations are driving the need for data lineage, what do you need to be able to demonstrate, and what...
Recorded Webinar: Next Generation Technology for Data Quality
What impact are next generation technologies having on data management today, and what is the outlook for further implementation and process improvements. We explore technologies such as automation, cloud computing, a managed services model, and applying the distributed model of blockchain to address data quality and management issues. The need for new technologies Potential of...