From Data Silos to a Single Source of Truth: Integrating Salesforce, SAP and Workday

Sales works in Salesforce, finance in SAP, HR in Workday — and management receives three different numbers for the same question. Many organizations are drowning in data but starving for insight. Connecting these systems is not just a technical task; it is the foundation for reliable reporting, automation and AI.

Symptoms of a disconnected system landscape

• Employees export data to spreadsheets and copy it between systems.
• Customer, product or employee data differs from system to system.
• Monthly reporting takes days and ends in discussions about whose number is correct.
• New tools are added, but each one becomes another silo.

Integration patterns: which one fits?

Real-time APIs

Best when a process needs current information immediately — for example checking credit limits from SAP while creating a quote in Salesforce.

Event-driven integration

Systems publish events (“employee hired”, “order shipped”) that other systems subscribe to. This decouples systems and scales well, for example when a new hire in Workday should automatically create accounts in Microsoft Entra and other tools.

Batch pipelines (ETL / ELT)

Ideal for analytics and reporting. Data is extracted regularly, transformed and loaded into a data platform where it can be combined and analysed. ETL transforms before loading, ELT transforms within the data platform.

Middleware and integration platforms

When many systems need to talk to each other, a central integration layer reduces point-to-point spaghetti and makes monitoring, error handling and changes much easier.

Master data: the part everyone underestimates

Technology only moves data — it cannot decide which version is correct. Define for each core object (customer, product, employee, cost centre) which system is the leading source, who owns it and which quality rules apply. This is the real meaning of a single source of truth.

From integrated data to decisions

Once data flows reliably, build a KPI framework: one agreed definition per metric, documented calculation logic and clear owners. Dashboards on top of that foundation are trusted — and become the basis for predictive analytics and AI use cases.

A pragmatic integration roadmap

1. Map systems, data objects, interfaces and pain points.
2. Prioritise integrations by business value and risk.
3. Define master data ownership and the KPI framework.
4. Choose patterns and tooling per use case.
5. Deliver iteratively, starting with the integration that removes the most manual work.
6. Monitor, document and hand over to operations.

Struggling with disconnected systems? Our data, reporting & integrations team has deep experience with Salesforce, SAP and Workday environments.

Frequently asked questions

Can Salesforce be integrated with SAP?

Yes. Common approaches are direct APIs, middleware or integration platforms, and data pipelines for reporting. The right choice depends on data volumes, real-time needs and governance.

What is a single source of truth?

It means each core data object has one leading source with clear ownership and quality rules, so all systems and reports use consistent information.