Explore Data Space Functionality

Learning Objectives

After completing this unit, you’ll be able to:

• Identify when to use data spaces.
  
• Explain key features of data spaces.
  
• Implement data spaces.
  

Data Spaces in Data Cloud

Data Cloud allows you to create a data space to organize data to fit your business needs. You can segregate your data, metadata, and processes by categories, such as brand, region, or department. Once segregated, users can be granted access to a data space.

When you or others view the data, you see only the data assigned to that data space. After you enable a data space, Data Cloud applications run user and system data services in the context of the data space. This means a data space can impact all types of work downstream, including calculated insights, segmentations, and activation.

Use Cases

Let’s explore two scenarios where using a data space makes sense. 

• You’re using a single Data Cloud instance and need the flexibility of running multiple regions, departments, or brands.
  
• Your business requires your users to see and work on data only in the context of their region or brand.
  

Now, where does using a data space not make sense? 

• You have data residency requirements and must ensure that data doesn’t cross regional boundaries. Data spaces don't solve data residency needs.
  
• Your primary goal is cross-brand unification and targeting.
  

Key Benefits and Best Practices

Let’s review what the data space functionality enables you to do.

• Segregate your data, metadata, and processes for these brands, regions, and departments with full autonomy.
  
• Manage user access control to designated data spaces through permission sets.
  

Implement Data Space

If you’re a new customer, an initial empty data space is created in your Data Cloud instance and you can start using it. You can’t delete the default data space but you can change its display name.

Each data space is provisioned with a permission set. When your account is assigned to the data space permission set, you can create object mapping, identity resolution rulesets, insights, data actions, segments, and activation targets in the data space. Refer to the permission sets documentation linked in the Resources section below for the most current information on Data Cloud standard permission sets.

Permission Sets

Let’s see who can do what activities in a data space.

Table key: 

Full Access:

No Access:

Build Your Data Strategy with Data Spaces

Now that you have the basic information about data spaces, start thinking about how you can use this feature in your org. Whether you use it to organize data or to segregate it, you can better govern and maintain a data strategy using data spaces.

Resources

• Salesforce Help: Manage Data Spaces
• Trailhead: Build a Data Strategy for Data Cloud
• Salesforce Help: Manage Access with Data Cloud Permission Sets