Recorded Webinar: Unifying client data to accelerate insights and deliver better experiences
30 June 2021Data insight is critical to all aspects of the buy-side investment process from portfolio decisions that drive core revenue and incremental revenue opportunities, to delivering unique and timely investment research, and rapidly innovating and offering new products to clients.
While this is a key goal for asset managers, built on the ability to understand and apply advanced analytics across their data landscape, it is often frustrated by a fragmented architecture, legacy systems, data silos and point-to-point integration that lead to sub-optimal processes such as poor client engagement and reporting.
To resolve these problems and drive better outcomes, including accelerated data insights and seamless customer interaction, asset managers need to consolidate and govern data on a single platform that can provide a complete and accurate 360 degree view of client data.
This webinar covers:
- Buy-side data management challenges and the need for change
- Approaches to gaining a better understanding of client data
- How to consolidate data and create a 360 degree view of all client data
- Technology solutions that support data consolidation, analytics and delivery
- The operational benefits and competitive advantages of a 360 customer view
Speakers:
More about our speakers:
Louise Head
Director, Performance Analysis
Federated Hermes
Louise Head has over 20 years of experience in the Asset Management Industry. Louise first joined Hermes in 2002 working for the activist manager Hermes Focus Funds as Head of Investment Administration. Louise then moved into the Performance Analytics team in 2010 as Head of Performance. Louise is currently responsible for the provision of all performance analytics across all Federated Hermes Int’l asset classes along with ensuring Federated Hermes maintains GIPS compliance. Prior to Hermes, Louise worked for both RBC & Aviva in Melbourne Australia.
Julia Bardmesser
Former SVP, Head of Data, Architecture and Salesforce Development
Voya Financial
Julia Bardmesser is a technology, architecture and data strategy executive most recently with Voya Financial. She is also a Board Advisor for two technology startups, The Medici Project and Polymer and a founding member of Women Leaders in Data and AI (WLDA).
At Voya Financial Julia served as Senior Vice President, Head of Data, Architecture and CRM. In her role Julia led the transformation of Voya into data, cloud and analytics enabled company by leveraging enterprise data and technology capabilities. These capabilities enabled innovation, agility and speed to market by reducing friction and delivering key insights from proprietary data.
Prior to joining Voya Julia was a Global Head of Data Integration at Deutsche Bank, where she led the implementation of global metadata management platform that enabled data lineage and robust front to back data quality measurement.
Julia has over twenty years of experience in cross-platform solution delivery in the financial industry, architecture, data management, and data governance. She also worked at Citi, FINRA, Freddie Mac, Thomson Financial Services, Bear Stearns and Bloomberg L.P.
Julia is a much sought-after speaker and mentor in the industry, and she has received recognition across the industry for her significant contributions. She has received 2022 WLDA Changemaker in AI award; has been named to CDO Magazine’s List of Global Data Power Women three years in the row (2020-2022); named Top 150 Business Transformation Leader by Constellation Research in 2019; and recognized as the Best Data Management Practitioner by A-Team Data Management Insight in 2017.
She holds a Master of Arts in Economics from the New York University.
Daniel Roberts
Solutions Engineering Director
MarkLogic
Daniel has worked with major investment banks, mutual funds, and online brokerages for over 20 years. He has helped clients design and build high performance and cutting edge database systems and provided guidance on issues including data integration, performance, optimal schema design, security, failover, messaging, and master data management.
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