Map SAP Data to Salesforce

Define your data structures for seamless SAP-Salesforce integration. AI-driven mapping ensures accurate, instant connections between your ERP and CRM systems.

Primitive Data Types

string

For simple, flexible text, from names to descriptions.

integer

For precise whole numbers, like IDs or counters.

number

For numeric values, including decimals for prices or metrics.

boolean

For true/false values, ideal for flags and settings.

date

For dates in ISO format (YYYY-MM-DD), perfect for timestamps.

object

For nesting data structures, creating rich, complex models.

array<string>

For ordered lists of text, such as tags or roles.

array<number>

For collections of numbers, useful in series data or scores.

array<object>

For lists of complex entities, like users or sessions.

An Example in Action

Try it in the Playground
{
  "username": "string",
  "email": "email",
  "age": "integer",
  "height": "number",
  "isActive": "boolean",
  "middleName": "null",
  "birthDate": "date(YYYY-MM-DD)",
  "lastLogin": "datetime(YYYY-MM-DDThh:mm:ssZ)",
  "userId": "uuid",
  "tags": "array<string>",
  "scores": "array<integer>",
  "ratings": "array<number>",
  "permissions": "array<boolean>",
  "vacationDates": "array<date(YYYY-MM-DD)>",
  "profile": {
    "bio": "string",
    "languages": "array<string>"
  },
  "loginHistory": "array<object>"
}

Understanding Data Types for SAP-Salesforce Integration

Why Data Types Matter

In SAP-Salesforce integration, data types ensure seamless data flow between your ERP and CRM systems. Proper type definitions enable AI-driven mapping to automatically connect SAP entities like customers, orders, and invoices with Salesforce objects, preventing data loss and ensuring compliance.

  • Ensures accurate mapping between SAP OData and Salesforce APIs
  • Supports full upsert logic for Accounts, Contacts, Orders, and Products
  • Maintains SAP Digital Access compliance with read-only operations
  • Enables real-time sync with high throughput (10,000+ records/minute)

Best Practices

When defining your data dictionary for SAP-Salesforce integration, follow these best practices:

  • Use descriptive field names that clearly indicate purpose
  • Include validation rules and constraints where applicable
  • Document any special formatting requirements that aren't obvious from the example.
  • Consider internationalization needs for global applications
  • Plan for future extensibility and backward compatibility

Advanced Data Modeling Features

Nested Objects

Create complex data structures with nested objects and arrays for comprehensive SAP-Salesforce entity mapping.

Array Support

Handle collections of data with flexible array types for SAP line items, multiple contacts, and complex relationships.

Date & Time

Proper date and time handling with ISO format support for SAP timestamps and Salesforce date fields.

Ready to Map Your SAP Data?

Start connecting SAP and Salesforce with AI-driven data mapping. Yomai makes it easy to define your data structures and sync your systems instantly.

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