SAP迁移的现状：为什么早期选择比技术更重要

The State ofSAP Migration Why Early Choices MatterMore Than Technology Executive Summary When it comes to migrating SAP workloads, enterprises are concerned more about their exposure to risk than they areabout the potential for transformation. As enterprises move toward S/4HANA, most are prioritizing operational stabilityand cost predictability over deep process and data re-engineering. Driven in part by ECC support timelines and regula-tory constraints, these early decisions shape migration outcomes, long-term cost structures and an enterprise’s ability tomake the most of automation and AI investments. We asked 200 senior decision-makers how they are managing their SAP migrations and found that their decisions aroundplanning and sequencing, their discipline around governance and the cost of the transition are shaping outcomes morethan their platform choice or how they are deploying the tools. Analysis of both survey data and ISG advisory engagements shows a growing disconnect between stated transformationambitions and the migration approaches enterprises are using in practice. Most notably, enterprises with the strongest aspirations for transformation often hinder long-term value by prioritizingshort-term stability. In doing so, they fail to standardize processes and data in a way that will unlock potential benefits ofautomation, analytics and AI. Key Findings SAP migration decisions prioritize risk containment over transformation.Fewer than one in five enterprises pursue a full re-implementation, while nearly half prioritize preserving existing processes and data through brownfield-oriented migrations. SAP migration approach is a strategic risk decision rather than a technical one.Enterprises are explicitly trading long-term transformation potential for near-term stability, speed andcost predictability.2 The ECC support timeline is a primary driver of migration activity.Many enterprises are moving because they must, sequencing programs around maintenance and support deadlinesand, in some cases, using limited cloud adoption to extend runway rather than to transform upfront.3 Most migration risk is introduced early and shows up as overruns.Nearly 60% of SAP migrations are behind schedule and over budget, driven primarily by underestimated complexity,scope expansion and internal capacity constraints.14 Cost outcomes diverge by enterprise size and deployment model.Larger enterprises are more likely to report higher post-migration ERP costs and greater short-term cost volatility during phased transitions.5 AI benefits depend on the decisions made during migration.Enterprises expecting gains from automation, forecasting and operational AI are far more likely to realize them when processes are standardized and data is well governed; migrations that preserve fragmented processes and legacydata structures tend to limit what AI can deliver after go-live. Migration Approach Most enterprises choose to preserve process and data over full re-implementation. Eighteen percent of respondents report pursuing a new implementation of SAP processes and technology, while nearlyhalf are adopting a hybrid, “mostly greenfield” or “mostly brownfield” approach (also known as “bluefield”) focused on se-lective data and process transformation. In contrast, 34% of respondents say they are preserving processes and dataso they can migrate without having to re-engineer core processes. Which of the followingbest describes yourstrategy formigratingS/4HANA? MaximumTransformation Migration Rationale SAP migration approach reflects how enterprises balance risk containment againsttransformation ambition. The strategies enterprises are using to migrate to S/4HANA are reflections of their priorities. Together, these patternsindicate that SAP migration decisions are strategic posture choices that balance tolerance for disruption againstambition for long-term transformation. What are the primaryreasons you choseyour migrationapproach? Migration Rationale(Continued) Hybrid migration approaches reduce near-term disruption, but they frequently defer the process and data changesrequired to unlock long-term automation and AI value.While these approaches can reduce near-term disruption, theyoften preserve legacy process variations, data structures and customizations that limit the effectiveness of advancedanalytics, embedded AI and end-to-end automation. Migration approach decisions are also shaped by external timing pressures that fall outside the scope of the survey datain this report. For many enterprises, particularly in regulated industries, the SAP ECC maintenance and support horizoncreates a fixed deadline that compresses planning cycles and constrains appetite for large-scale re-engineering. Even in less regulated sectors, extended support timelines influence sequencing decisions, leading organizations to favorapproaches that minimize near-term disruption and execution risk, with deeper transformation deferred to a l