Points to Remember – Going beyond CDP: Salesforce Data Cloud
Points to Remember – Going beyond CDP: Salesforce Data Cloud

Points to Remember – Going beyond CDP: Salesforce Data Cloud

  • Salesforce Data Cloud was launched to power the customer 360 experience by making data in the Salesforce CDP product available to not just other products of the C360 suite of applications but also to other applications in real-time.

In an equation, it looks something like this:

CDP + Real-time data capabilities = Salesforce Data Cloud

  • Salesforce Data Cloud solves many challenges that modern CDP applications face, like the inability to scale, the interface not being user-friendly, difficulty getting data in real-time, and difficulty demonstrating the value to the business quickly.

With the addition of Data Cloud to the Salesforce ecosystem, real-time customer 360 is possible in Salesforce.

  • The key benefits offered by Salesforce Data Cloud are:
    • Salesforce Data Cloud offers real-time data
    • Separate data by business units with Data Spaces
    • Advertising with first-party data with partners, such as Amazon, Google ads, and Meta
    • Streamline customer consent with Preference Manager
    • Real-time analytics
  • Data harmonization refers to combining data from different sources and providing users with a comparable view of data from different sources. Data harmonization improves the quality and utility of the data.
  • Customer graph, also called identity graph, refers to a database that stitches customer records from different data sources to create a single unified customer profile.
  • Lakehouse architecture refers to data lakehouse, which is a new open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses.
  • At a high level, Salesforce Data Cloud has a 7-step process for setup and run. It starts with preparing the data sources to send data to Data Cloud, connecting the data sources, preparing the data that comes to Data Cloud, then performing harmonization and unification of the data. Next comes analyzing and predicting outcomes based on the available data. Finally, we can take action using the unified customer data in Data Cloud.

Questions

  1. What is Salesforce Data Cloud?
  2. What are the challenges that were solved by the addition of Salesforce Data Cloud to the Salesforce ecosystem?
  3. Explain some of the business use cases that are relevant for Salesforce Data Cloud.
  4. What are the key benefits offered by Salesforce Data Cloud to businesses?
  5. What do you mean by harmonization of data?
  6. What is a customer graph?
  7. What kind of architecture does Salesforce Data Cloud have? Explain.
  8. Describe how Salesforce Data Cloud works at a high level.
  9. How did Salesforce Data Cloud make Customer 360 in real-time a possibility for Salesforce?

Further Readings

If you wish to read more about Salesforce than what we could cover here, please go to the following links or resources:

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