Putting Customer Data in Shape for Maximum Impact
Webinar Speaker: James Kobielus, Senior Research Director, Data Management
Date: Tuesday, December 7, 2021
Time: 9:00 a.m. PT, 12:00 p.m. ET
The essential activity of any business is to acquire, retain, and satisfy customers. This requires the very best, most relevant, and actionable data at every customer touchpoint.
Businesses face significant challenges in shaping and mastering customer data for maximum impact. These challenges include CRM silos, out-of-sync customer data, and inflexible and unscalable rule-based approaches for managing these records.
Join TDWI’s senior research director James Kobielus on this webinar to explore how enterprises are boosting retention, up-sell, personalization, and other monetization outcomes with machine learning-driven approaches to delivering customer insights. He will discuss how ML can be leveraged to:
- Discover the best available customer data from a wide range of internal and external sources
- Reduce the cost of consolidating, transforming, cleansing, and enriching customer data
- Deliver relevant, curated data-driven insights into every customer decision scenario
Kobielus will be joined by Marc Alvarez, who has led data programs at companies such as Thomson Reuters and Mizuho Securities, and Louise Baldwin, solutions director at Tamr, for an in-depth discussion of how enterprises are using ML-driven, cloud-based customer data mastering to maximize monetization opportunities.
Marc has built, delivered and managed sophisticated online information and analytics services for financial services firms and global information providers, including Thomson Reuters and Mizuho Securities. He's passionate about helping organizations leverage their customer data to drive digital transformation.
Louise Baldwin is a solutions director at Tamr where she focuses on ensuring business impact and value generation for customers through mastered data. Before joining Tamr, she worked as an investment professional at Goldman Sachs and IFC, World Bank Group.