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Recorded Webinar: How to develop a reporting framework for ESG disclosure regulation
ESG reporting is a challenge and additional burden for many financial institutions as regulations continue to evolve, ESG data management is complex, and global standards remain elusive. Helpful solutions include reporting frameworks that support the collection, understanding, and management of ESG data for disclosure. This webinar will provide practical guidance on how to build a…
Recorded Webinar: Approaches to ESG data for the Sustainable Finance Disclosure Regulation (SFDR)
The EU Sustainable Finance Disclosure Regulation (SFDR) outlines extensive rules designed to ensure transparency across sustainable financial markets. It also demands huge volumes of non-financial ESG data to be sourced, managed and governed, some of which is difficult to find, and much of which is unstructured and of variable quality. The data challenge is exacerbated…
Recorded Webinar: Optimising analytics – the role of data quality and data governance
Analytics are key to business decisions, revenue generation, optimal performance, risk mitigation, and more in capital markets – yet they are only as good as the data on which they are based, and that is not always very good. This webinar will consider how firms can build data quality and strong data governance as the…
Recorded Webinar: Brexit: Reviewing the regulatory landscape and the data management response
With Brexit behind us and the UK establishing its own regulatory regime having failed to reach equivalence with the EU, financial firms face challenges of double reporting, uncertainty about UK regulation, and a potential exodus of top talent. The data management response is not easy and could stretch some firms to the limit as they…
Recorded Webinar: Maximising success when migrating big data and analytics to cloud
Migrating big data and analytics workflows to the cloud promises significant cost savings through efficient use of infrastructure resources and software that scales dynamically based on data volume, query load, or both. These are valuable gains for investment banks, but they can only be fully realised by taking a new approach to architecture and software…
Recorded Webinar: Managing data for the Fundamental Review of the Trading Book (FRTB)
The January 1, 2022 compliance deadline for Fundamental Review of the Trading Book (FRTB) regulation may be three years out, but if your organisation is within scope of the rules, the time to address their data management challenges is now. Will your organisation be able to source the necessary data for non-modellable risk factors (NMRFs)…
Recorded Webinar: Best practice timestamping and clock synchronisation
Timestamping and clock synchronisation have been embedded in the EU by Markets in Financial Instruments Directive II (MiFID II) and are also a requirement of the US SEC Consolidated Audit Trail (CAT). The webinar will discuss how well firms have realised the MiFID II requirement, how it differs from the CAT requirement, and best practice…
Recorded Webinar: How to apply emerging technologies to data management
As increasing data volumes push traditional data management technologies towards breaking point, emerging technologies including machine learning, artificial intelligence and blockchain are beginning to show promise. The webinar will consider the potential of these emerging technologies and discuss how they can be applied to data management, data quality and data governance. Listen to the webinar…
Recorded Webinar: Meeting the imperative for data quality
Meeting the data quality imperative can be complex at the best of times, but increasing regulation, the call for more timely information and the acknowledgement that poor data quality can damage the business only add to the burden. The webinar will address the need for data quality, how best to achieve consistent and timely quality,…
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…