![]() ![]() ![]() This helps them identify changes in customer behavior, allowing for smarter inventory management and marketing decisions, all leading to better customer experiences through AI-driven insights. For example, a retail business can quickly combine its Salesforce sales data with external market trends from Snowflake. This integration makes it easy to convert data into insights.Organizations can now power their Snowflake workloads with valuable customer data and insights from Salesforce Data Cloud. With Salesforce’s BYOL Data Sharing with the Snowflake Data Cloud, joint customers can enhance the value of their Salesforce data by combining it with enterprise data in Snowflake. By doing so, companies can gain deeper insights into customer behavior, market trends, and operational efficiency – allowing them to react more swiftly to market changes, anticipate customer needs, and optimize their operations.The collaboration bridges Salesforce and Snowflake data, solving a common challenge faced by businesses: the need to seamlessly combine customer data from Salesforce with data in Snowflake.It enables businesses to quickly action data across the Salesforce Customer 360 with AI, automation, and analytics across sales, service, marketing, and commerce applications. Salesforce Data Cloud is a hyperscale customer data platform that lets companies unify all their Salesforce data with vast amounts of engagement data from external sources to create harmonized and unified customer profiles. This builds on Salesforce and Snowflake’s existing partnership to bring together data storage and actionable insights for their customers. 8, 2023 - Salesforce today announced the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |