Salesforce Debuts Customer 360 Data Platform

Salesforce Debuts Customer 360 Data Platform

Salesforce is upping its data game with the launch of its Customer 360 platform that unifies customer data and apps in one centralized view across the cloud

Written By
Donal Power
Donal Power
Sep 26, 2018

Salesforce.com Inc. is upping its data game with the launch of its Customer 360 platform that aims to unify customer data and apps in one centralized view across the cloud.

The San Francisco-based provider of customer relationship management products released the new platform this week at its annual Dreamforce gathering of Salesforce customers and partners.

See also: Salesforce aims to put IoT data to work

Customer 360 promises to connect Salesforce and third-party apps while providing a customer ID that reconciles all customer data across clouds so that businesses can access the latest information on each customer.

It also increases back-end functionality by enabling admins to build customized packages for different lines of businesses without having to involve development teams or system integrators.

“Customer-facing employees lack a unified customer record because critical pieces of that profile are spread across multiple systems, creating a fragmented view of each customer,” the company said in a news release. “Traditional master data management methods used to unify customer data and plug it back into engagement applications require extensive IT resources, and are difficult to change when organizations need to deliver new personalized customer experiences quickly.”

While the idea of offering a unified customer view is not revolutionary, Salesforce says the delivery method of the data is cutting edge. Specifically, Customer 360 aims to circumvent the more cumbersome practice of creating sizeable centralized lakes of duplicate data. It achieves this by allowing data to reside in the systems that manage it, only calling upon the information when necessary.

For the 2018 fiscal year, Salesforce reported revenues of $10.5 billion from its many products including its artificial intelligence platform (AI) Einstein. The Einstein automated machine learning framework generates personalized AI predictions and models and for individual customers.

Donal Power

Donal Power has over 20 years experience as a technical writer, reporter and editor for the Economist in Europe, on Wall Street, on Bay Street and in Asia. Subject expertise includes: AI, Smart Cities, IoT, Real Time Analytics, Fintech, Economics, Cannabis Legalization, Blockchain, Open Data, Health Technology and GovTech.

Recommended for you...

How Model Context Protocol (MCP) Exploits Actually Work
Casey Bleeker
Apr 3, 2026
AI-Powered Network-as-a-Service: Enabling “Lights Out” Networking for the AI Era
Jim Sullivan
Apr 2, 2026
The Industry is Designing AI for Machines, Not for Humans. That is Not a Mistake.
Onur Alp Soner
Apr 1, 2026
Why Unstructured Data Will Decide Whether AI Delivers Real Value in 2026
Nick Burling
Mar 31, 2026

Featured Resources from Cloud Data Insights

Powering Smart Cities: Designing Rugged PoE for Outdoor and Industrial Edge Deployments
Jordan Smith
Apr 2, 2026
Securing Time Synchronization: The Overlooked Control in Modern Cybersecurity
Liz Ticong
Apr 2, 2026
AI-Powered Network-as-a-Service: Enabling “Lights Out” Networking for the AI Era
Jim Sullivan
Apr 2, 2026
The Industry is Designing AI for Machines, Not for Humans. That is Not a Mistake.
Onur Alp Soner
Apr 1, 2026
RT Insights Logo

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.