10 Pitfalls That Derail SAP S/4HANA Migrations and How Quality Assurance Prevents Them

Summary

90% of SAP S/4HANA migrations exceed their original schedule, according to Horváth research, and the causes are consistent across organizations: poor planning, untested integrations, weak data strategy and insufficient governance. A structured quality engineering framework addresses each of these failure points before they become programme-threatening issues. 

Why SAP S/4HANA migrations overrun, and how quality assurance prevents it

Migrating to SAP S/4HANA is a fundamental transformation of how your business operates. With new architecture, data models, and integrations to consider, the transition comes with significant risks. Many organizations underestimate the complexity and fall into common traps that lead to costly delays, unexpected disruptions, and even business-critical failures.

The good news? Many of these pitfalls can be avoided with a strategic approach to Quality Assurance (QA). 

Pitfall 1: Inadequate Planning and Scope Definition Leads to Misalignment and Late-Stage Disruption

Without a well-defined roadmap that accounts for dependencies, data complexity and business process changes, SAP S/4HANA migrations quickly accumulate risk that surfaces late in the programme. All too often, companies focus solely on the technical aspects of migration, assuming that the transition will be straightforward. Poor planning often results in unrealistic expectations, misalignment between teams, and unanticipated roadblocks that surface late in the project. A structured quality engineering strategy that begins at the planning stage helps organizations conduct risk assessments, define test strategies, and put validation processes in place to prevent last-minute disruptions.

Pitfall 2: Untested Third-Party Integrations Produce Broken Workflows and Compliance Failures

SAP environments are deeply interconnected with external systems, and untested integrations are among the most common sources of post-go-live disruption. Businesses rarely operate in isolation, and their SAP environments are often deeply interconnected with external systems, including banking platforms, customer relationship management software, and supply chain tools. When companies fail to thoroughly test these integrations, they risk broken workflows, failed transactions, and compliance issues that can have far-reaching consequences. QA teams play a crucial role in mitigating these risks by conducting end-to-end integration testing to validate seamless connectivity between SAP and third-party applications.

Pitfall 3: Skipping Performance Testing Causes System Slowdowns and Poor User Experience at Go-Live

SAP S/4HANA is designed for greater speed and efficiency, but optimal performance across all use cases is not guaranteed without rigorous load, stress and scalability testing. If companies fail to conduct thorough performance testing, they may encounter system slowdowns, bottlenecks, or degraded user experience, particularly under heavy usage loads. This can lead to frustration among employees and customers alike. Quality engineering teams conduct rigorous load, stress, and scalability testing to ensure the system operates efficiently, even under peak conditions. By proactively addressing performance concerns, businesses can avoid system failures and provide a smooth transition for end-users.

Pitfall 4: Lack of Stakeholder Alignment Slows Decision-Making and Derails Migration Timelines

SAP migrations involve IT departments, business leaders, end-users and external vendors, and misalignment between these groups is a consistent cause of delayed decisions and cost overruns. When teams are not on the same page, priorities become misaligned and decision-making slows down. Without clear communication and shared objectives, the project risks veering off course. QA helps bridge this gap by aligning testing efforts with business goals so that all stakeholders remain engaged throughout the migration process. When testing is transparent and collaborative, organisations can avoid costly misunderstandings and delays.

Pitfall 5: Underestimating Data Migration Complexity Produces Inconsistencies That Break Core Business Processes

Data migration is consistently underestimated in SAP programmes, and poor data quality produces inconsistencies that break core business processes such as order-to-cash and procure-to-pay after go-live. Many organizations underestimate the effort required to clean, migrate, and validate data as it moves to SAP S/4HANA. Poor data quality can lead to inconsistencies, missing information, and regulatory compliance challenges. If master data is not properly aligned, key business processes may not function correctly after migration. Quality engineering embeds data validation, integrity checks, and reconciliation testing throughout the migration process, reducing the risk of errors and keeping migrated data reliable and accurate.

Structured Quality Engineering Frameworks Address Pitfalls Before They Derail Programmes

These are just a few of the pitfalls that organizations face during a SAP S/4HANA migration. From security vulnerabilities to neglecting post-migration quality assurance, there are many other risks that can threaten project success. However, companies that incorporate a robust QA framework into their migration strategy significantly improve their chances of success. By prioritizing structured testing, performance validation, stakeholder alignment, and data integrity, organizations can avoid costly mistakes and keep their migration on track.

TTC Global, with its extensive expertise in SAP transformations, can guide you through each phase of the migration, helping you navigate complexities and avoid these common pitfalls.

If you want to dive deeper into the full list of challenges and learn the best strategies to mitigate them, download our whitepaper: 10 SAP S/4HANA Migration Pitfalls That Quality Assurance Helps Address.  It’s your roadmap to a smooth, risk-free migration.

Frequently Asked Questions

What are the biggest causes of failed SAP migrations?

Horváth research drawing on responses from over 200 executives found that 90% of SAP S/4HANA migrations exceed their original schedule and 65% miss quality targets. The most consistent causes are inadequate planning, untested third-party integrations, poor data quality and insufficient quality engineering governance. In most cases, the issues are not technical in origin; they reflect how testing and quality assurance are structured across the programme.

What are the main risks of an SAP S/4HANA programme?

The primary risks in an SAP S/4HANA programme are schedule overrun, budget inflation, post-go-live quality defects and extended hypercare. Horváth found that in 65% of migrations, major quality defects were detected after go-live, and in a quarter of transformed organizations the budget was heavily exceeded. These risks are compounded when quality engineering is introduced late in the lifecycle rather than embedded from the planning stage.

How can we reduce hypercare after SAP go-live?

Hypercare overruns are most commonly caused by defects that were not detected before go-live, which means the most effective way to reduce hypercare is to embed quality engineering earlier in the migration lifecycle. Forrester research found that organizations with a structured SAP quality engineering approach can reduce hypercare costs by up to 90%. Continuous testing, risk-based validation and change impact analysis using tools such as Tricentis LiveCompare are the specific practices that prevent defects from reaching production.

How do we ensure data integrity during SAP transformations?

Data integrity in SAP transformations requires validation, integrity checks and reconciliation testing to be embedded throughout the migration process rather than applied at the end. Poor data quality is one of the most common causes of post-go-live failures, particularly in core business processes such as order-to-cash and procure-to-pay. Tools such as Tricentis Data Integrity enable real-time data validation before, during and after migration, ensuring that data arriving in SAP S/4HANA is clean, complete and compliant.