Executive Summary
The modern business landscape is not just about the quantity of data available, but how efficiently it’s put to use. More than a data management solution, Data Cloud is an evolutionary leap, facilitating transformative AI experiences and enhanced customer-centricity. By unifying all data sources with CRM data from Salesforce’s platform, Data Cloud enables business leaders to unlock actionable, in-depth insights.
This white paper illustrates how Data Cloud aligns and harmonizes vast amounts of diverse business data with CRM data from the Salesforce Einstein platform, giving businesses an unparalleled view of their data universe and a robust foundation for delivering superior AI-driven customer experiences.
Technical Overview
Given the growth in volume and variety of data from various sources, the aim was to facilitate the integration of Salesforce’s CRM data with all other data that a company needs to form a comprehensive picture of its customers. To fully harness the potential of advanced analytics, machine learning, and generative AI, we first needed to enable the transactional database that underpins the Salesforce platform to interact with data stored in other environments.
Architecture & Implementation
Data Cloud is designed with the ability to combine transactional CRM data with data from other sources. These can include transactional data, customer behavior data, IoT device data, and even unstructured data like social media posts or customer service chat logs. By bringing all this information together in one place, Data Cloud allows for the creation of a single source of truth, improving decision-making, the relevance of AI models, and overall business efficiency.
Code Examples & Best Practices
Before Data Cloud, engineering teams would laboriously move CRM data to warehouses… (code examples and best practices to be included).
Performance Analysis
PwC estimates that AI could generate over 15 trillion dollars for the global economy by the end of the decade. Data Cloud is designed with this moment in mind. (Performance analysis to be included).
Troubleshooting Guide
Various troubleshooting steps and solutions for common issues would be outlined here.
Conclusion & Next Steps
Data Cloud represents a major step towards the future of AI-driven experiences, offering unparalleled customer insights and facilitating efficient data utilization. The next steps for your business in leveraging this powerful tool are… (conclusion and next steps to be included).
