Sponsored by: Slalom | Nasdaq's Journey from Fragmented Customer Data to AI-Ready Insights
Overview
Experience | In Person |
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Type | Lightning Talk |
Track | Data Lakehouse Architecture and Implementation |
Industry | Financial Services |
Technologies | Delta Lake, Databricks Workflows, Unity Catalog |
Skill Level | Intermediate |
Duration | 20 min |
Nasdaq’s rapid growth through acquisitions led to fragmented client data across multiple Salesforce instances, limiting cross-sell potential and sales insights. To solve this, Nasdaq partnered with Slalom to build a unified Client Data Hub on the Databricks Lakehouse Platform. This cloud-based solution merges CRM, product usage, and financial data into a consistent, 360° client view accessible across all Salesforce orgs with bi-directional integration. It enables personalized engagement, targeted campaigns, and stronger cross-sell opportunities across all business units. By delivering this 360 view directly in Salesforce, Nasdaq is improving sales visibility, client satisfaction, and revenue growth. The platform also enables advanced analytics like segmentation, churn prediction, and revenue optimization. With centralized data in Databricks, Nasdaq is now positioned to deploy next-gen Agentic AI and chatbots to drive efficiency and enhance sales and marketing experiences.
Session Speakers
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Soumya Ghosh
/Senior Director, Data & Analytics
Slalom