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Topic

CRM

Customer Relationship Management (CRM)

sales marketing customer_service

3

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2020-Q1 2026-Q1

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Unifying Customer Data to Drive a New Automotive Experience With Lakeflow Connect

The Databricks Data Intelligence Platform and Lakeflow Connect have transformed how Porsche manages and uses its customer data. By opting to use Lakeflow Connect instead of building a custom solution, the company has reaped the benefits of both operational efficiency and cost management. Internally, teams at Porsche now spend less time managing data integration processes. “Lakeflow Connect has enabled our dedicated CRM and Data Science teams to be more productive as they can now focus on their core work to help innovate, instead of spending valuable time on the data ingestion integration with Salesforce,” says Gruber. This shift in focus is aligned with broader industry trends, where automotive companies are redirecting significant portions of their IT budgets toward customer experience innovations and digital transformation initiatives. This story was also shared as part of a Databricks Success Story — Elise Georis, Giselle Goicochea.

Sponsored by: Hightouch | Unleashing AI at PetSmart: Using AI Decisioning Agents to Drive Revenue

With 75M+ Treats Rewards members, PetSmart knows how to build loyalty with pet parents. But recently, traditional email testing and personalization strategies weren’t delivering the engagement and growth they wanted—especially in the Salon business. This year, they replaced their email calendar and A/B testing with AI Decisioning, achieving a +22% incremental lift in bookings. Join Bradley Breuer, VP of Marketing – Loyalty, Personalization, CRM, and Customer Analytics, to learn how his team reimagined CRM using AI to personalize campaigns and dynamically optimize creative, offers, and timing for every unique pet parent. Learn: How PetSmart blends human insight and creativity with AI to deliver campaigns that engage and convert. How they moved beyond batch-and-blast calendars with AI Decisioning Agents to optimize sends—while keeping control over brand, messaging, and frequency. How using Databricks as their source of truth led to surprising learnings and better outcomes.

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

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.