#Data36047 discussing

Hi @kavyasri Dacharla,

This message may not come from Salesforce. The wording “Your organization’s data cannot be pasted here” looks like a browser or company security policy (Data Loss Prevention, DLP). Such policies can limit how many characters you can paste into a web page.

Things to try:

1. Type the value by hand instead of pasting it, or paste in smaller parts (under 160 characters).
2. Use another browser or a personal browser profile, to see whether the message goes away.
3. Ask your IT team whether a paste or DLP policy is active for Salesforce pages.

If it is a real Salesforce error, these steps may help:

• Check that the Data Kit components and dependencies were all deployed to UAT before you click Deploy on the kit.
• Other Trailblazers report that deploying large Data Kits through one package can fail. They split the package.xml into smaller parts and deployed in steps, using VS Code or the CLI.
• If it still fails, raise a Salesforce Support case with the full error and the job ID.

Could you share where exactly the message appears (which screen or field)? That would help others to answer.

Hi @Kavyasri Dacharla

I’ve seen this error come up even when the CRM connection verifies fine. It usually isn’t really about authentication. Here’s what I’d check in the UAT org: 

• Connector permission set access. The “Data Cloud Salesforce Connector” permission set in UAT needs read access to every object and field in the data stream. If a field from your partial sandbox is missing or has no FLS in UAT, the deploy fails with this misleading auth error. This is the most common cause I’ve seen.
• The deploying user. Deploy the data stream as a Data Cloud Admin. Ideally use the same user who set up the CRM connection in UAT.
• The connection itself. In Data Cloud Setup > Salesforce CRM, try a full disconnect and reconnect of the home org rather than just verifying it. Then redeploy from Data Kits.
• Deploy order. After the change set lands, deploy the data stream from the data kit inside Data Cloud. Pick the UAT CRM connection when it prompts you.

If it still fails after all that, raise a support case with the data kit name and the error. 

If you plan for workshop refer -

 The one you mentioned is paid but there are some thats free for standard plans thats what am looking for

Thanks, @Vishal Soni, @Robbie Duncan, @Kundan Kumar Jha

for sharing your thoughts! 

I agree that Data 360 is becoming an important skill, especially as Agentforce depends on accurate and trusted data.

At the same time, I feel Apex, Flow, LWC, and Integration will continue to play an important role in real-time projects.

Robbie also raised a good point about AI and context engineering. Knowing how to guide and evaluate AI agents will become increasingly valuable. 

My view is that learning one technology is not enough anymore. Understanding how Data 360, Agentforce, and other Salesforce technologies work together will be the real advantage. 

Thanks again for making this a valuable discussion!

Hi @Galla Rajeswari Good question! Data 360 is not just about combining data. It helps businesses use customer data more effectively.

1. Identity Resolution: Combines customer records to create a unified customer profile.
2. Data Graphs: Connect related data and help Agentforce access customer information faster.
3. Segmentation: Helps businesses identify and target the right customers.
4. Real-Time Activation: Helps businesses take action using updated customer data.
5. Agentforce: Provides better customer context, helping agents give more relevant and accurate responses.

In my view, Identity Resolution and Data Graphs are especially useful for Agentforce.

Key Point: Data 360 provides the right customer context, while Agentforce uses that data to answer questions and perform actions.

Hi @Mounika Aithagoni

You would decide based on these core points:

1. Data Ingestion: Best for data transformation, identity resolution, and unified customer profiles.
2. Zero Copy: Best for accessing large external datasets without duplicating data.
3. Real-Time Data: Zero Copy with live queries can provide access to the latest source data.
4. Performance: Ingestion is useful for frequently processed data. Zero Copy depends on external query performance.
5. Cost: Compare ingestion and storage costs against Zero Copy query costs.
6. Security: Consider data governance, access permissions, and compliance.

My suggestion: Use a hybrid approach based on business requirements. Always validate performance, data freshness, and cost through a POC before finalizing.