Data Cloud
Data 360 — ingestion, DLO/DMO, identity resolution, SQL Calculated Insights, and the Query API that grounds agents in real data.
Identity Resolution Decides What Your Agent Thinks It Knows
Match rules used to be a data-quality concern. The moment an agent speaks to customers from a unified profile, they become a safety concern — because over-merging makes an agent confidently wrong about who it is talking to.
Grounding Is Retrieval, Not Magic
An agent that quotes a policy where a number was needed is not hallucinating — retrieval did exactly what you configured. Why the grounding layer should be split by question shape, and why over-merged identities are the failure you will not see.
Credits Are the Currency: Thinking About Data Cloud and AI Costs Before You Build
Data Cloud and Salesforce's AI features are metered in credits — a cloud bill, not a site license. The questions to ask before you wire anything metered into a loop or a schedule, and the habits that keep costs defensible.
Your Agent's Conversations Are Queryable: Two-Sided Transcripts with Plain SOQL
Where does an Agentforce conversation actually live? In one real org, the full two-sided transcript sat in a Data Cloud DMO, readable with ordinary SOQL — here is how to find it, and the caveats that come with it.
The Data 360 Query API: Prove Your Grounding with Plain SQL
Before you wire Data 360 into an Agentforce action, prove the data says what you think it says — with a SQL query, zero UI, and zero agent credits. How I verified a +64.6% consumption anomaly for a real deployed agent.
Real-Time Data: How Data Cloud Reacts the Moment Something Happens
Why real-time ingestion and data actions let Data Cloud respond instantly instead of waiting for an overnight batch.
Data Cloud and Agentforce: Why They're Better Together
How Data Cloud's unified profile grounds an Agentforce agent so it gives genuinely smart, accurate help.
Your First Segment in Data Cloud: From Raw Data to an Audience
A unified profile is only valuable when you use it. Here's how segments turn Data Cloud's data into a real audience you can act on — the concept, the steps, and the beginner mistakes to dodge.
Calculated Insights: Turning Raw Data into Useful Metrics
Learn how calculated insights compute powerful metrics across your unified data, ready for segments and AI.
Identity Resolution for Beginners: How Data Cloud Knows Two Records Are the Same Person
Identity resolution is the heart of Data Cloud and the part that feels like magic. Here's how it actually works — match rules, reconciliation, and the unified profile — explained simply.
The Data Model in Data Cloud: DLOs, DMOs, and Mapping
Demystifying Data Lake Objects, Data Model Objects, and how mapping turns raw data into one shared language.
Data Streams: Getting Data Into Data Cloud
A beginner's guide to data streams, the first step that brings your scattered data into Salesforce Data Cloud.
What Is Salesforce Data Cloud? The Beginner's Picture
Data Cloud is one of the most misunderstood parts of Salesforce for beginners. Here's the clear picture: the problem it solves, the four things it does, and why it powers good AI.