About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Snowflake and Salesforce Integration Takes Customer Personalisation to Next Level

Subscribe to our newsletter

Snowflake and Salesforce have extended their existing partnership by integrating Salesforce’s customer data platform (CDP) with Snowflake’s data cloud. The integration allows customers to share data in real time between Salesforce and Snowflake, minimising the risks and costs of traditional data synchronisation methods.

The integration will be available in pilot mode in autumn 2022, and will offer uninterrupted  access to Salesforce data from the Snowflake data cloud and vice versa. It will also enrich CDP profiles by providing direct connectivity to the Snowflake data cloud and offering real-time data access to enhance customer profiles for hyper-personalisation without moving or copying data. Analytics will be unified across the platforms to gain new insights, and data from both platforms will be visualised using Tableau.

The integration is backed by Snowflake’s data collaboration capabilities that allow users to discover, acquire, and share data, data services, and applications across clouds and industry standard open data platform technologies.

“Companies struggle to deliver real-time personalisation at scale and automation because data resides across different clouds, technology stacks, and enterprise systems,” says David Schmaier, president and chief product officer at Salesforce. “These data sharing innovations grant secure, native, and open access to data where it lives, and allow organisations to deliver intelligent, memorable experiences based on a single source of truth for each customer.”

Christian Kleinerman, senior vice president of product at Snowflake, adds: “This integration will empower companies to break down data silos, unify data for rich insights and analytics, and enable a real-time, single view of customers across both our platforms.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Financial Operations Has an Invisible Tax Problem. AI Is Starting to Fix It

By Neil Vernon, chief product officer at Gresham. The financial services industry has spent considerable energy debating whether AI is production-ready for regulated operations. That debate has been asking the wrong question. Readiness is not the constraint; targeting is. The real question is whether firms have correctly identified where AI can address costs that have...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...