Recorded Webinar: How to automate entity data management and due diligence to ensure efficiency, accuracy and compliance
Requesting, gathering, analysing and monitoring customer, vendor and partner entity data is time consuming, and often a tedious manual process. This can slow down customer relationships and expose financial institutions to risk from inaccurate, incomplete or outdated data – but there are solutions to these problems.
This webinar will consider the challenges of sourcing and understanding entity data, as well as the benefits of accessing real-time data to reduce operational risk and cost. The webinar will also investigate existing solutions to streamline the automation process for entity due diligence data gathering, screening and risk assessment.
Listen to the webinar to find out more about:
- Challenges of sourcing and managing entity data
- How to automate entity due diligence data processes
- The value of perpetual due diligence data
Speakers:
More about our speakers:
Gaurav Malik
Data Leader - Asset Servicing
BNY Mellon
Gaurav has extensive experience in designing and implementing data governance strategies that ensure the accuracy, integrity, and security of Organizational data. He has successfully led cross-functional teams defining data standards, policies, and procedures, enabling seamless data integration and interoperability across various systems and platforms.
With his proven track record of delivering successful data management initiatives, Gaurav is highly sought after by organizations looking to establish a strong data foundation and drive data-driven transformation. His ability to align data management strategies with business objectives has consistently improved operational efficiency, cost savings, and enhanced customer experiences.
Chris Pim
Head of Master Data Management & Engineering
NatWest
Industry professional with 20 + years experience in Financial services. Currently specialising in Data Management/ Data governance for client / Party reference and Financial crime.
Sponsors
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