Data Mapping

Data Mapping, Documented Before a Single Record Loads

Mapping is where most migration rework gets born or avoided. We build field-level source-to-target mapping and transformation logic for every object in scope, signed off before build begins, so your team isn't reverse-engineering assumptions mid-load.

Data Mapping
25+ SAP migration projects delivered·Team background includes Accenture & SLB·NDA by default on every engagement
Overview

What SAP Data Mapping Involves

Data mapping defines exactly how each source field maps to its target SAP field, including transformation rules, value conversions, and default logic, before extraction and load ever start.

Field-Level Mapping

Every source field mapped to its corresponding target field, object by object, with no gaps left to interpretation during build.

Transformation Rules

Value conversions, code mapping, and business rules documented for every field that doesn't move as a direct one-to-one copy.

Default & Derivation Logic

Rules for fields that need to be derived or defaulted where source data doesn't carry a direct equivalent.

Mapping Documentation

A signed-off mapping document your build team can work from directly, with no ambiguity or assumptions.

Our Process

How We Run a Data Mapping Workstream

1

Object & Field Inventory

We catalog every field in scope across source and target systems before drafting a single mapping line.

2

Draft Mapping & Rule Design

Field-to-field mappings and transformation rules are drafted, including edge cases and exception handling.

3

Functional Review & Sign-Off

Mapping is reviewed with your functional team against business rules before it's locked for build.

4

Handoff to Build

Signed-off mapping is handed to the load/build team as the single source of truth for extraction logic.

Want to see this process mapped to your object list? Talk to us →

Scoping a Migration Workstream?

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Related Services

Often Delivered Alongside Data Mapping

FAQs

Common Questions About Data Mapping

SAP data mapping is the process of defining exactly how each source data field corresponds to its target SAP field, including transformation rules, value conversions, and default logic.
Mapping is where most migration rework gets born or avoided. If field-level mapping isn't documented and signed off before build, the load team ends up making assumptions mid-build.
A completed mapping deliverable is a signed-off document showing every source field mapped to its target field, object by object, along with transformation rules and value conversions.
Yes. Etlzone can deliver data mapping as a standalone workstream or as the design phase of a full end-to-end migration engagement.
Mapping is reviewed and signed off with your functional team against agreed business rules before it's locked for build.

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