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Nasdaq's Journey from Fragmented Customer Data to AI-Ready Insights

Databricks via YouTube

Overview

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Learn how Nasdaq transformed fragmented client data across multiple Salesforce instances into a unified, AI-ready platform through this 17-minute conference talk. Discover how Nasdaq partnered with Slalom to build a comprehensive Client Data Hub on the Databricks Lakehouse Platform, addressing challenges created by rapid growth through acquisitions that left customer data scattered and limited cross-sell opportunities. Explore the cloud-based solution that merges CRM, product usage, and financial data into a consistent 360-degree client view with bi-directional integration across all Salesforce organizations. Understand how this unified approach enables personalized customer engagement, targeted marketing campaigns, and enhanced cross-sell opportunities across all business units while delivering improved sales visibility and client satisfaction directly within Salesforce. Examine the advanced analytics capabilities including customer segmentation, churn prediction, and revenue optimization that the centralized data platform enables. See how Nasdaq's strategic data unification positions the organization to deploy next-generation Agentic AI and chatbots for enhanced sales and marketing efficiency, presented by Soumya Ghosh, Senior Director of Data & Analytics at Slalom.

Syllabus

Sponsored by: Slalom | Nasdaq's Journey from Fragmented Customer Data to AI-Ready Insights

Taught by

Databricks

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