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Data Management Insight Webinars
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 high stakes challenge of effective sanctions data monitoring
Identifying securities related to a sanctioned domicile or company is a straightforward concept, but in practice, it is a far more challenging task for compliance professionals. Receiving a list of sanctions isn’t enough. In order to accurately define and maintain your ‘do not trade’ list, you need to identify all the securities related to each...
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: 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...
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...
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: Solving the problem of integrating beneficial ownership data with client onboarding and KYC systems
Client onboarding and Know Your Customer (KYC) processes are becoming more complex as regulation drives towards the inclusion of beneficial ownership data and requires financial institutions to improve customer due diligence still further. The webinar will discuss the need for beneficial ownership data, how it can be sourced and how it can be efficiently and...
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: The art of implementing data lineage
Data lineage is a regulatory and internal requirement with potential to deliver significant operational and business benefits, but financial institutions can find it difficult to implement and complex to maintain as systems and regulatory requirements themselves, change quickly. The importance of understanding where the true source of the data is coming from, where the data...
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...