From scattered data to commercial impact: Salesforce Data Cloud
Your organisation probably has plenty of data, but does it sit where you actually need it? At many organisations, customer information is trapped in silos: order history in the ERP, click behaviour on the website, tickets in a legacy service system and contracts in yet another database.
The result: nobody has a complete picture. Marketing sends emails to customers who have just filed a complaint, and Sales lacks insight into recent purchases. That changes the moment these sources are connected in real time: you get one harmonised customer profile that every department can use straight away.
The unavoidable question: why do I need Data Cloud?
This is the question we get most often: “Isn’t my data already in Salesforce or in my Data Warehouse? Why do I need an extra layer?”
The answer is simple: Speed, scale and context for AI.
Traditional CRM systems are built for transactions (an order, a touchpoint). They’re not built to process millions of real-time data points (such as IoT signals or website visits). A Data Warehouse is good for storage, but often can’t activate that data directly in a sales conversation.
Data Cloud does three things your current system can’t, and they’re essential for the future:
- Harmonisation for AI: If you let AI (such as Agentforce) loose on polluted data, you get unreliable answers. Data Cloud is the filter that makes sure AI sees a single version of the truth. Without Data Cloud, Agentforce doesn’t work effectively.
- Streaming Data: It processes live data. “The customer looked last week” becomes “the customer is looking right now”.
- The foundation for everything: Whether you want to get started with advanced marketing automation, Tableau analytics or autonomous AI agents, Data Cloud is the infrastructure that makes it possible.
Data strategy for complex landscapes
Implementing Data Cloud is a strategic choice that takes more than flipping a switch. In manufacturing, we see complex IT landscapes with heavy ERP systems and large data volumes. We know how to model those complex flows.
The end of silos
Connect data from SAP, Microsoft, AWS, Google or Snowflake directly to your CRM (Zero Copy: reading data straight from the source), without physically moving any data.
Real-time relevance
Respond to what a customer is doing right now, instead of relying on historical reports.
Future-proof
We design the architecture so you’re ready for the next step in digitalisation.
What does this deliver in practice?
Data Cloud turns raw data into action.
One 'Golden Record'
No more duplicate records or polluted lists. Data Cloud recognises that ‘J. Jansen’ in your webshop is the same person as ‘Jan Jansen’ in your ERP and merges these profiles into one ‘Unified Individual’. This is the only profile your Sales and Service staff need to see.
Smarter segmentation
Marketing can suddenly segment on data that was previously out of reach. Think of a campaign specifically for customers who have “been a customer for more than 3 years” (ERP data), “viewed the price list in the past week” (web data) and “have no open tickets” (service data).
Automation triggered by external events
Say a machine sends an IoT signal indicating that a part is nearly worn out. Data Cloud picks up this signal and immediately creates a task for the account manager or starts a service process.
Jaäl Pekelder
Sales Consultant
From use case to technology
We don’t connect data just for the sake of it. We look at the value.
Use case definition
Which problem are we solving? (For example: predicting churn, spotting upsell opportunities or reducing service costs.)
Data mapping
Where does the required data live, and what is its quality?
Harmonisation
We connect the sources and make sure the fields line up logically.
Activation
We make sure the data shows up in the right place, such as in Sales, Service or Marketing Cloud.
Frequently Asked Questions
What is the difference between Data Cloud and a Data Warehouse?
A Data Warehouse (such as Snowflake or BigQuery) is designed for storage and historical analysis after the fact. Data Cloud is designed for action. It sits as a layer on top of your warehouse and makes that data immediately usable (‘activation’). While a warehouse tells you what happened last week, Data Cloud uses that data to fire a trigger now in Salesforce Flow, Marketing Cloud or Agentforce.
Do I need Data Cloud if I already use Salesforce?
Standard Salesforce (CRM) is built for transactions (an order, a touchpoint). It isn’t designed to process millions of signals (such as click behaviour on your webshop or IoT data from machines). Data Cloud can handle these large volumes, harmonises them and shows them directly on the customer profile in the Salesforce UI. Your account manager sees the complete picture without checking five systems. Data Cloud also includes a built-in ‘vector database’. This means you can also search unstructured data (such as PDF contracts or emails) intelligently and in context (similarity search). That’s an absolute requirement for AI to generate the right answers within your CRM.
What is a Unified Customer Profile?
We also call this the ‘Golden Record’. In your systems, a customer often appears twice: as ‘J. Jansen’ in the webshop and ‘Jan Jansen’ in the ERP. Data Cloud recognises that this is the same person and merges these profiles. As a result, Marketing, Sales and Service all look at exactly the same information, instead of fragmented pieces.
How does Zero Copy integration work?
In the past, you had to physically copy data from system A to system B (ETL), which is slow and error-prone. With Zero Copy, Data Cloud ‘looks’ directly into your external data lake (such as Snowflake, Google BigQuery or Databricks) without moving the data. The data stays at the source, yet is immediately available in Salesforce for segmentation and AI.
Is Data Cloud required for Agentforce?
Simple tasks don’t need it. Intelligent autonomy does. Agentforce is only as smart as the data you give it. Without Data Cloud, the agent only sees what’s in Salesforce. With Data Cloud, the agent also has context from your ERP, your webshop and your legacy systems. This prevents the AI from making decisions without understanding the full context, and ensures the agent acts on the complete, up-to-date customer picture.
How do you get started with Data Cloud without migrating everything at once?
We work ‘use case driven’: one business problem at a time. We connect only the data sources needed for it, harmonise them and deliver value. Only then do we pick up the next use case. That keeps the project manageable.
How does the pricing model work?
Data Cloud runs on a consumption model (credits). You pay for what you process and store. Because we work from specific use cases, we can estimate upfront how much data is needed and what the impact on your credits will be. That way we avoid surprises later, and you don’t pay for data you won’t activate anyway.
Ready to connect?
Data is the foundation. Without a solid foundation, your AI strategy collapses. Let’s look at how we can turn your data flows into a workable model for the future.
