Executive Summary

In the current business landscape, the significance lies not only in the volume of data but also in its effective utilization, especially with AI-powered solutions transforming traditional business paradigms. More than a data management solution, Data Cloud represents an evolutionary leap, enabling transformative AI experiences and a higher degree of customer orientation.

This Whitepaper highlights how Data Cloud harmonizes enormous volumes of disparate business data with CRM data from the Salesforce Einstein platform, providing businesses with an unparalleled view of their data universe and a solid foundation for delivering a superior AI-driven customer experience.

Technical Overview

Through its strategic collaboration with AWS, Salesforce has integrated AWS’s AI services into Einstein’s Trust Layer and provided Data Cloud with seamless, ETL-free access to any AWS data service. It also allows for data processing tasks to be performed using AWS’s computational services. This combined value can be conveniently obtained as Data Cloud and other Salesforce offerings are now available via AWS Marketplace.

Architecture & Implementation

Data Cloud’s design centres around the concept of unifying data from any source with CRM data from the Salesforce platform, thus enabling business leaders to unlock actionable and detailed insights. By gathering all this information in one place, Data Cloud becomes a single source of truth, enhancing decision-making, the relevance of AI models, and overall business efficiency.

Code Examples & Best Practices

To fully leverage the potential of advanced analytics, machine learning, and generative AI, it’s necessary first to enable the transactional database that supports the Salesforce platform to interact with data stored in other environments. This includes transactional data, customer behaviour data, IoT device data, and even unstructured data like social media posts or customer service chat logs.

Performance Analysis

Data Cloud has been designed with the potential of AI in mind, as PwC estimates that AI could generate more than $15 trillion for the global economy by the end of the decade. With the ability to harmonize CRM transactional data with data from other sources on a petabyte scale, Data Cloud is poised to deliver intelligent, data-based CRM experiences.

Troubleshooting Guide

Prior to Data Cloud, engineering teams would painstakingly transfer CRM data to warehouses. With Data Cloud, this process becomes more streamlined, reducing the chances of error and increasing overall efficiency.

Conclusion & Next Steps

Data Cloud is a forward-thinking solution designed for the AI era. By integrating diverse data sources, it provides businesses with a comprehensive view of their data landscape and empowers them to deliver superior, AI-driven customer experiences. As a next step, businesses can explore and acquire Data Cloud and other selected Salesforce products through AWS Marketplace’s private offers.