Migration Philosophy

What is this?

This document defines the core principles guiding the Oracle → SAP S/4HANA migration.

It is NOT technical documentation.

It is: → The way you must think about migration


Core Reality

SAP S/4HANA is NOT a database.

It is: → A process-driven ERP system that enforces business logic

SAP integrates end-to-end processes like Procure-to-Pay and Order-to-Cash, not just data storage. ([turn0search10])


Fundamental Shift

Oracle Mindset

  • Store data
  • Process is flexible
  • Relationships are loose

SAP Mindset

  • Enforce process
  • Data exists because process needs it
  • Relationships are strict

Core Principle

You are NOT migrating data
You are reconstructing business processes

Migration to S/4HANA is not just technical—it is a business transformation involving data, processes, and compliance. ([turn0search4])


What This Means Practically

1. No Table-to-Table Thinking

❌ Oracle Table → SAP Table

✅ Business Entity → SAP Business Object

Example:

  • Oracle Supplier → Business Partner (with Supplier Role)

2. Context is Mandatory

Data without context is useless in SAP.

Every object requires:

  • Organizational context (Company Code, Plant)
  • Process context (P2P, O2C)
  • Role/context (BP roles, material views)

3. Completeness Over Presence

In Oracle:

  • Partial data can exist

In SAP:

  • Incomplete data is rejected

Example:

  • Material without plant → unusable
  • BP without role → unusable

4. Relationships Matter More Than Data

SAP validates:

  • BP ↔ PO
  • Material ↔ Plant
  • PO ↔ GR ↔ Invoice

If relationships break: → Process fails


5. Validation is Design, Not QA

Validation is not a final step.

It is: → Built into the system

Migration phases include mapping, testing, and validation as core activities, not optional steps. ([turn0search6])


6. Data Quality is the Biggest Risk

Most migration failures come from:

  • Dirty legacy data
  • Inconsistent definitions
  • Missing fields

Data cleansing is one of the most underestimated but critical phases. ([turn0search6])


Anti-Philosophy (What NOT to Do)

❌ Copy data as-is
❌ Recreate Oracle structure in SAP
❌ Skip process understanding
❌ Assume “we’ll fix later”
❌ Treat SAP like a database


Correct Approach

✔ Understand business flow first
✔ Identify business objects
✔ Map identities and relationships
✔ Enforce process constraints
✔ Validate continuously


Migration Layers (Mental Model)

  1. Business Flow (Why process exists)
  2. Business Objects (What entities exist)
  3. Concepts (How SAP models reality)
  4. Mapping Logic (How data transforms)
  5. Process Execution (How system runs)
  6. Validation (How correctness is enforced)
  7. Issues (What breaks and why)

Key Insight

Data migration is easy
Process reconstruction is hard

Anyone can move data.

Very few can: → Make it work inside SAP


Final Takeaway

If you treat this as:

→ Data migration
You will fail

If you treat this as:

→ Business system reconstruction
You might survive

SAP does not adapt to your data.

Your data must adapt to SAP.