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The Reason Why Data Processes Fail in Financial Services

Leading financial services organizations are leveraging the value of their data and creating data products that support differentiation and growth.

What’s the secret?  

They have operationalized data reliability and data governance - enabling them to proactively improve customer experience, avoid compliance violations, and deliver highly reliable data at scale with predictable costs.

Join Chris Stephens, former CDO, Geico and John Morrell, Senior Director of Product Marketing, as they review strategies, tactics and best practices on how to automate and operationalize data reliability including:

  • Ways to get ahead of data 'blind spots' that cost 10X to fix when discovered 'downstream'
  • How fundamental trust in your data needs to be prioritized across any technical plans, architectural patterns or operating models
  • How data observability provides cost-effective operational and defensible metrics for data trust across an organization
  • How organizations can ensure that AI and LLM models are trained using reliable data


Chris Stephens has been leading large-scale data transformations for over a decade. He brings together modern data principles, distributed systems design, and a product mindset as Chief Data Officer at GEICO, Zendesk, and American Eagle Outfitters.

He did the same while leading the Data Science practice at Pivotal Software for 6 years and Product teams at SAS for 5 years. He is an Adjunct Faculty member at Carnegie Mellon University helping shape the next generation of data leaders.

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