RISE with SAP Migration Testing: 5 Practical Challenges and How to Solve Them

If you're a test lead staring down a RISE with SAP migration, these questions are probably keeping you up at night: How many mock conversions will we need? How much of our custom code will break? We're already behind schedule — where do we even start?

The problem is, the answers are different from your last on-premise S/4HANA project.

First Things First: What Actually Changes with RISE

Thinking of RISE with SAP as simply "moving SAP to the cloud" will lead you to build the wrong test strategy.

RISE with SAP is SAP's BTaaS (Business Transformation as a Service) bundle — S/4HANA Cloud, infrastructure, migration tools, and SAP BTP packaged together. Most RISE customers end up on S/4HANA Cloud, Private Edition, and the word "Private" creates real confusion.

"Private Cloud" means we control our own cloud account, right?

No. "Private" in RISE means "single-tenant — your environment is isolated from other customers." It does not mean you own or control the infrastructure. The hyperscaler account (AWS, Azure, or GCP) belongs to SAP. SAP manages the OS, database, and system monitoring. You have no direct OS or DB access.

This has two critical implications for testing:

① You can't refresh your test system yourself. On-premise, your Basis team could copy production data to the test system anytime. In RISE, you submit a Service Request to SAP, wait for approval, SAP executes the refresh, then hands the system back to you.

② Quarterly upgrades continue after Go-live, driven by SAP. Unlike on-premise where you chose when to upgrade, RISE means recurring regression testing becomes part of ongoing operations.

Keep these two points in mind — they explain why the five problems below hit harder in a RISE environment.

1. Every Mock Conversion Breaks Your Test Scripts

S/4HANA migrations typically run 2–3 mock conversions before Go-live. Each cycle adjusts business partner codes, material numbers, and org structures — and each adjustment breaks the test scripts you built in the previous cycle.

In RISE, this problem is amplified. Because of the refresh constraint described above, you can't just update test data on demand. You submit a Service Request and wait. Over time, more effort goes into fixing broken scripts than into actual quality validation.

Solution: Separate Data from Scripts

Completely decouple your test scenarios (business logic flows) from test data (partners, materials, amounts). Build the scenario once, swap in fresh data each cycle.

And don't build test data by hand. Extract real transaction data from your production system. Actual transactions already contain edge cases — special discounts, multi-currency deals, complex tax conditions. Re-extract each conversion cycle and you're done.

For a detailed approach to production data-based testing, see SAP Migration Data Conversion Testing Strategy.
→ SAP S/4HANA Migration Testing: 4 Data Conversion Strategies That Prevent Go-Live Failures

2. You Have No Idea How Much Custom Code Will Break

Every ECC system carries hundreds or thousands of custom objects — Z-programs, user exits, custom reports. In S/4HANA, tables like BSEG and BSIK are merged, the data model shifts to CDS Views, and a significant portion of custom code either breaks or behaves differently.

RISE pushes this further with Clean Core — align to SAP standard, separate remaining customizations onto SAP BTP. The "carry it over and clean up later" approach doesn't fly.

Solution: Classify into Four Categories, Test Each Differently

Run the SAP Custom Code Migration Worklist to get your incompatibility list, then classify:

• Delete — Analyze usage logs for at least 6 months. Code that only runs during month-end close or quarterly reporting is easy to miss — and painful to discover post-Go-live.

• Refactor — Verify that identical inputs produce identical outputs in both ECC and S/4HANA.

• BTP-separate — Internal ECC calls become API-based. Test network latency, timeouts, and error handling — not just functional correctness.

• Keep as-is — Include in regression test packs for ongoing validation.

  

3. Interfaces Show "Success" but the Data Is Wrong

SAP doesn't run in isolation. MES, WMS, CRM, banking EDI, BI systems — large organizations have over 1,000 interface points.

With RISE, SAP moves to a hyperscaler while many surrounding systems stay on-premise. Network paths change entirely — what used to communicate within the same network now routes through dedicated connections (Direct Connect, ExpressRoute). This introduces latency and timeout issues that didn't exist before.

The real danger is that these failures are invisible. In a recent case reported on SAP Community, data import jobs to SAP Analytics Cloud showed "success" after a RISE migration — but the actual data contained zero values and format mismatches. Technically "transmitted successfully," but completely wrong. Nobody noticed until someone manually opened the data.

Solution: Validate Business Outcomes, Not Transmission Status

Interface testing needs three layers:

• Layer 1 — Connectivity: Basic communication (RFC, API calls) works after the network change

• Layer 2 — Data integrity: Open the data in the receiving system. Check formats, fields, values

• Layer 3 — Business outcome: Downstream processes (accounting postings, inventory updates) actually complete correctly in the receiving system

With hundreds of interfaces, running all three layers manually isn't feasible. You need to chain SAP transactions through to downstream processing in MES, WMS, banking systems, and other connected platforms — executing the entire flow as a single automated E2E scenario. If you only automate the SAP side and verify the receiving side manually, Layer 3 is where things slip through.

4. The Real Test Is Your First Month-End Close

The biggest post-migration failures don't happen on Day 1 — they happen at the first month-end close.

Daily transactions (orders, purchase orders) get caught in initial testing. But asset depreciation, cost settlement, foreign currency revaluation, and revenue recognition run once a month and involve data from multiple modules. Most projects, pressed for time, test closing with "a few representative transactions" — missing volume-driven performance issues and calculation errors that only surface with specific condition combinations.

Solution: Treat Month-End Close as a Separate Test Package

• Data: Extract real closing data (asset masters, cost centers, tax codes, exchange rates) from production. Match actual volumes, not samples.

• Scenario: Don't test FI closing in isolation. Chain SD revenue → MM costs → CO settlement → FI closing into a single flow. Testing modules separately misses the handoff errors between them.

• Comparison: Match ECC closing results against S/4HANA results line by line. Pay special attention to how the ACDOCA (Universal Journal) consolidation affects your existing reports.

5. Testing Doesn't End at Go-Live

On-premise, you could say "let's stabilize first, upgrade next year." RISE Private Cloud delivers quarterly upgrades from SAP. Go-live doesn't end your migration testing — it begins a recurring regression testing cycle.

If you tested manually during migration, you'll face the same workload again in three months. That's why migration is the optimal time to build your test automation foundation.

Solution: Turn Migration Test Assets into Regression Test Assets

Don't discard the scenarios you built for migration. Automated scenarios can be re-executed every quarter with refreshed data.

Design a two-layer architecture from day one: Cloud ALM (bundled with RISE) for test orchestration, a dedicated automation tool for execution.

For Cloud ALM's role and limitations, see Cloud ALM Test Management Analysis.
→ SAP Cloud ALM Test Management: Strengths, Gaps, and What to Look for in Automation Tools

For quarterly upgrade testing strategies, see S/4HANA Upgrade Testing Strategy.
→SAP S/4HANA Upgrade Testing: 3 Strategies for Quarterly Release Verification

Conclusion

RISE with SAP migration has areas where your on-premise experience simply doesn't transfer. Scripts that break every mock conversion cycle. Custom code validation demanded by Clean Core. Interfaces that report success while delivering wrong data. Month-end close scenarios that are hard to reproduce in test environments. And quarterly upgrades that mean testing never stops.

Address these five from project kickoff — not as afterthoughts — and you prevent the post-Go-live failures that derail operations.

To understand the RISE vs. GROW decision first, see our RISE vs GROW Comparison Guide.
→ RISE with SAP vs GROW with SAP: Key Differences and How to Choose (2026)

For data conversion validation strategies, see SAP Migration Testing Strategy.
→SAP S/4HANA Migration Testing: 4 Data Conversion Strategies That Prevent Go-Live Failures

Request a free PerfecTwin demo to see how end-to-end test automation works across SAP and connected systems — from production data extraction to interface validation — in a RISE migration environment.