SAP S/4HANA Migration: Brownfield vs Greenfield — The Complete Decision Guide

The Clock Is Ticking: Why S/4HANA Migration Is No Longer Optional

If you are still running SAP ECC, the calendar is not on your side. SAP's mainstream maintenance for ECC 6.0 ends in December 2027. After that date, you are looking at one of two realities: either you have migrated to S/4HANA, or you are paying a steep premium just to keep the lights on.

Let's be direct about what "end of mainstream maintenance" actually means. SAP will not pull the plug on your system overnight. But here is what changes:

• No more enhancement packs or feature updates for ECC after 2027
• Security patches become selective — SAP will address critical vulnerabilities, but the response times and coverage shrink
• Extended maintenance costs jump significantly — expect a 2% annual surcharge on top of your existing maintenance fees through 2030, and custom extended maintenance beyond that carries even higher premiums
• Partner and third-party ecosystem support erodes — ISV partners are already shifting development resources to S/4HANA; finding skilled ECC consultants gets harder every year
• Regulatory compliance risk increases — as SAP deprioritizes ECC, keeping up with changing tax, reporting, and data privacy regulations on the old platform becomes your problem, not SAP's

Some organizations have already negotiated extended maintenance agreements through 2030 or even 2033. But that is a holding pattern, not a strategy. Every year you delay, the talent pool shrinks, implementation partners get more booked, and the competitive gap between your organization and those already running S/4HANA widens.

The question is no longer whether to migrate. It is how.

The Three Migration Strategies at a Glance

SAP and the broader consulting ecosystem have converged on three primary approaches to getting from ECC to S/4HANA. Each has fundamentally different implications for your timeline, budget, business disruption, and long-term architecture.

Brownfield: System Conversion

A brownfield migration converts your existing ECC system in place to S/4HANA. Think of it as a major renovation of a house — same foundation, same address, but significant structural changes inside. Your existing configurations, custom code, master data, and transactional history come along for the ride.

The technical backbone of a brownfield conversion is the SAP Software Update Manager (SUM) combined with the Database Migration Option (DMO). This tooling handles the technical conversion of your database to SAP HANA (if you are not already on it) and the functional conversion to S/4HANA in a single step or in two phases.

Greenfield: New Implementation

A greenfield migration is exactly what it sounds like — a fresh S/4HANA implementation built from scratch. You start with an empty system, design new processes, configure from zero, and migrate only the data you choose to bring over. This is tearing down the house and building new on the same lot.

Greenfield projects typically follow the SAP Activate methodology and increasingly leverage SAP Best Practices and SAP Signavio for process design. The goal is to adopt as much standard functionality as possible and minimize custom development.

Selective Data Transition (Hybrid)

The selective data transition — sometimes called the "bluefield" approach — splits the difference. You get a new, clean S/4HANA system (like greenfield), but you selectively migrate historical data, configurations, and even custom objects from your legacy system. It is building a new house but carefully moving your favorite furniture and fixtures from the old one.

This approach gained traction through tools like SNP CrystalBridge (now SNP Transformation Platform) and SAP's own Selective Data Transition option within the SUM/DMO toolset.

Brownfield Deep Dive: The System Conversion Path

How It Works Technically

A brownfield conversion follows a well-defined technical sequence:

1. Pre-checks and preparation — Run the SAP Readiness Check and Simplification Item Check to identify incompatibilities, deprecated functionality, and custom code that needs remediation
2. Custom code analysis — Use the SAP Custom Code Migration Worklist (transaction SCMON and the Custom Code Migration app in SAP Fiori) to identify which Z-programs, enhancements, and modifications need changes
3. Sandbox conversion — Perform a full technical conversion on a sandbox copy of your production system to identify issues in a risk-free environment
4. Remediation cycles — Fix custom code issues, resolve data quality problems, handle simplification item impacts, and re-test
5. Dress rehearsal(s) — Execute one or more full conversion rehearsals on a copy of production, measuring downtime windows and validating results
6. Production conversion — Execute the final conversion using SUM/DMO with the optimized procedure refined during rehearsals
7. Post-conversion activities — Activate Fiori apps, perform functional validation, execute regression testing, and stabilize

What Gets Migrated

In a brownfield conversion, everything comes over by default:

• All customizing (IMG configurations)
• All master data (materials, customers, vendors, G/L accounts, etc.)
• All transactional data (open and closed documents, historical postings)
• All custom code (Z-programs, enhancements, BADIs, modifications)
• All user roles and authorizations
• All organizational structures
• Transport history and change logs

This is both the strength and the weakness of brownfield. You preserve your institutional knowledge and business continuity, but you also carry forward years of accumulated technical debt, workarounds, and process inefficiencies.

Custom Code Remediation: The Hidden Mountain

This is where brownfield projects live or die. A typical ECC system with 10+ years of history might have anywhere from 5,000 to 50,000+ custom objects. S/4HANA introduces significant changes that break existing custom code:

• Simplification items — SAP has removed or replaced hundreds of tables, transactions, and function modules. For example, the BSEG table changes fundamentally, KONV is replaced by new pricing structures, and the business partner model replaces separate customer/vendor master data.
• New data model — The shift to a HANA-optimized data model means many aggregate tables and index tables are eliminated. Custom code referencing these tables will fail.
• Unicode and syntax changes — Older ABAP code may use obsolete statements or non-Unicode-compliant constructs.

Realistically, expect 20-40% of your custom objects to require some level of remediation, ranging from simple table name replacements to complete rewrites of core custom logic.

Brownfield Pros

• Fastest path to S/4HANA — Typically 12-18 months for a focused conversion
• Lowest risk of data loss — Everything migrates, nothing falls through the cracks
• Business continuity — Users see familiar transactions, reports, and workflows (with S/4HANA enhancements layered on)
• Preserves investment — Decades of configuration and customization are retained
• Smaller project team — Requires strong Basis/technical resources but less functional re-design effort

Brownfield Cons

• Technical debt carries forward — Every workaround, redundant process, and band-aid fix comes along
• Limited opportunity for process improvement — The conversion itself does not re-engineer your business processes
• Downtime window — The cutover requires a system outage, typically 24-72 hours depending on database size and optimization
• Custom code remediation effort is often underestimated — This is the number one budget and timeline risk
• Post-conversion Fiori adoption is gradual — You land on S/4HANA but may still be running SAP GUI for months

Greenfield Deep Dive: Starting Fresh

When Greenfield Makes Sense

A greenfield approach is not just "we want a clean system." It is the right call in specific situations:

• Your current ECC implementation is heavily modified and no longer resembles standard SAP — you have essentially built a custom ERP on top of SAP
• You are undergoing a major business transformation — mergers, divestitures, new operating models, or entering new markets
• Your current processes are fundamentally broken and patching them during a brownfield conversion would not address root causes
• You want to fully adopt the SAP Clean Core strategy — minimize custom code, leverage SAP BTP for extensions, and stay on the standard upgrade path going forward
• You are consolidating multiple ECC systems into a single S/4HANA instance

The Implementation Process

A greenfield S/4HANA implementation follows the SAP Activate phases:

1. Discover — Evaluate SAP Best Practices, run fit-to-standard workshops, identify gaps between standard and your requirements
2. Prepare — Project planning, team onboarding, system provisioning, organizational change management kickoff
3. Explore — Detailed process design using SAP Signavio or Solution Manager, configure the system based on fit-to-standard results, build the delta (custom developments for true gaps)
4. Realize — Configuration, development, data migration design and execution, integration testing, user acceptance testing
5. Deploy — Cutover planning, final data migration, go-live, and hypercare
6. Run — Stabilization, continuous improvement, adoption of additional S/4HANA capabilities

The Clean Core Philosophy

SAP is pushing hard on the Clean Core concept, and greenfield is the natural vehicle for it. Clean Core means:

• Keep the S/4HANA core as standard as possible — avoid modifications, minimize custom code inside the core
• Extend via SAP Business Technology Platform (BTP) — build custom applications, integrations, and analytics on BTP using side-by-side extensions
• Use Key User Extensibility for lightweight customizations — custom fields, custom logic, custom CDS views that are upgrade-stable
• Leverage SAP's pre-built integration content on SAP Integration Suite rather than building point-to-point interfaces

The payoff is significant: Clean Core customers can adopt SAP's continuous innovation (quarterly feature updates) without regression risk. Customers with heavy core modifications are stuck doing regression testing for every update.

Greenfield Pros

• Clean slate — No technical debt, no legacy workarounds, no orphaned customizations
• Process re-engineering opportunity — Chance to fundamentally rethink how you run your business
• Full adoption of S/4HANA capabilities — Fiori UX, embedded analytics, advanced ATP, MRP Live, Central Finance, etc.
• Clean Core alignment — Best position for ongoing innovation consumption
• System consolidation — Can merge multiple legacy systems into one

Greenfield Cons

• Longest timeline — Typically 18-36 months depending on scope and complexity
• Highest cost — Full implementation effort including process design, configuration, development, testing, training, and change management
• Organizational fatigue risk — Long projects strain business resources and executive sponsorship
• Data migration complexity — Deciding what to migrate, mapping legacy data to new structures, cleansing and validating
• Institutional knowledge risk — Configurations that embody decades of business rules may be lost if not carefully documented and re-implemented
• Change management burden — Users must learn new processes and new interfaces simultaneously

Selective Data Transition: The Best of Both?

How It Works

A selective data transition gives you architectural flexibility that neither pure brownfield nor pure greenfield offers. The core idea:

1. Install a fresh S/4HANA system (like greenfield)
2. Selectively transfer configurations, master data, transactional data, and even custom objects from your legacy ECC system
3. Choose granularly what comes over — you might bring all configuration but only 3 years of transactional history, or migrate master data but redesign certain process areas from scratch

When to Use It

Selective data transition shines in these scenarios:

• Carve-outs and divestitures — You need to extract one company code or business unit from a larger ECC system into its own S/4HANA instance
• System consolidation — Merging multiple ECC systems into one S/4HANA, taking the best configurations and data from each
• Partial modernization — Some process areas work well (bring them over as-is) while others need a complete overhaul (redesign from scratch)
• Data volume reduction — Your ECC database is massive (10+ TB) and you want to migrate to S/4HANA without bringing decades of historical transactions that belong in an archive or data lake

Tooling

• SNP Transformation Platform (formerly CrystalBridge) — The market leader for selective data transitions. Provides pre-built transformation scenarios for common use cases (mergers, splits, selective migrations) and handles the complexity of maintaining referential integrity across selectively migrated data objects.
• SAP S/4HANA Migration Cockpit — SAP's native tool for data migration, increasingly capable but more suited to greenfield data loads than complex selective scenarios.
• SAP Landscape Transformation (SLT) — Useful for real-time data replication scenarios but not a full selective migration tool on its own.

Selective Data Transition Pros

• Architectural flexibility — Choose the best approach for each area of your business
• Data volume optimization — Only bring what you need
• Ideal for complex landscape scenarios — Mergers, splits, consolidations
• Cleaner result than brownfield — You control what comes over

Selective Data Transition Cons

• Tooling cost — SNP licensing is a significant line item (often $500K-$2M+ depending on scope)
• Complexity — Requires deep understanding of SAP data models and referential integrity
• Less predictable timeline — The flexibility is also a planning challenge
• Specialized skills required — Fewer consultants have deep selective migration experience compared to brownfield or greenfield

Decision Framework: How to Choose

There is no universal right answer, but there is usually a clearly right answer for your specific situation. Here is a practical decision framework.

Start With These Questions

How many custom objects do you have?

• Under 5,000 with low complexity — Brownfield is straightforward
• 5,000-20,000 — Brownfield is viable but budget significant remediation effort
• Over 20,000 or highly complex — Seriously evaluate greenfield or selective, especially if many custom objects are no longer needed

What is your timeline pressure?

• Must be on S/4HANA within 12-18 months — Brownfield is likely your only realistic option
• 18-24 months available — All three options are on the table
• 24-36 months or more — Greenfield becomes feasible and may deliver the best long-term value

What is your budget reality?

• Constrained (minimize spend) — Brownfield typically has the lowest total cost
• Moderate — Selective data transition offers good value if your scenario fits
• Investment-ready (willing to spend more now for long-term payoff) — Greenfield with Clean Core

Are you undergoing a business transformation?

• No, business processes are stable — Brownfield preserves what works
• Yes, moderate changes — Selective data transition lets you modernize selectively
• Yes, fundamental transformation — Greenfield aligns the technology change with the business change

How many ECC systems are involved?

• Single system — All three options work
• Multiple systems being consolidated — Greenfield or selective data transition
• Carve-out or divestiture — Selective data transition is purpose-built for this

The Quick Decision Tree

1. Are you consolidating or splitting systems? Yes → Selective Data Transition or Greenfield
2. Do you need to be live within 18 months? Yes → Brownfield (unless system is very small)
3. Is your current implementation close to standard SAP? Yes → Brownfield. No → Consider Greenfield.
4. Are you undergoing a major business transformation simultaneously? Yes → Greenfield
5. Is your custom code volume manageable and still business-relevant? Yes → Brownfield. No → Greenfield or Selective.

Cost Comparison: Realistic Ranges

These are fully loaded costs including software, implementation services, internal resources, infrastructure, testing, training, and change management. Your mileage will vary, but these ranges reflect what we consistently see in the market.

Mid-Market (Revenue $500M-$2B, 500-2,000 SAP users)

• Brownfield: $2M-$6M over 12-18 months
• Greenfield: $5M-$15M over 18-30 months
• Selective Data Transition: $4M-$10M over 15-24 months

Upper Mid-Market / Enterprise ($2B-$10B revenue, 2,000-10,000 SAP users)

• Brownfield: $5M-$15M over 14-24 months
• Greenfield: $15M-$40M over 24-36 months
• Selective Data Transition: $10M-$25M over 18-30 months

Large Enterprise ($10B+ revenue, 10,000+ SAP users, global operations)

• Brownfield: $15M-$40M over 18-30 months
• Greenfield: $40M-$100M+ over 30-48 months
• Selective Data Transition: $25M-$60M over 24-36 months

What Drives Cost Variation Within Each Range

• Number of company codes and countries — Multi-country deployments multiply complexity (localizations, tax configurations, regulatory requirements)
• Integration landscape — Every interface to and from SAP needs to be analyzed, potentially redesigned, and tested
• Data volume and quality — Larger databases mean longer conversion windows (brownfield) or more complex migration programs (greenfield/selective)
• Custom code volume — More Z-objects means more remediation (brownfield) or more rebuild decisions (greenfield)
• Organizational readiness — Companies with mature IT organizations and experienced SAP teams execute faster and cheaper

Timeline Comparison: What to Realistically Expect

Brownfield Timelines

• Low complexity (single country, limited customization, < 1 TB database): 9-14 months
• Medium complexity (multi-country, moderate customization, 1-5 TB database): 14-20 months
• High complexity (global, heavy customization, 5+ TB database, many integrations): 20-30 months

Greenfield Timelines

• Low complexity (single country, willing to adopt standard processes): 12-18 months
• Medium complexity (multi-country, some process re-engineering): 18-28 months
• High complexity (global, significant transformation, many integrations): 28-42 months

Selective Data Transition Timelines

• Low complexity (straightforward carve-out or limited selective scope): 12-16 months
• Medium complexity (consolidation of 2-3 systems or moderate selective scope): 16-24 months
• High complexity (multi-system consolidation with extensive data transformation): 24-36 months

The Downtime Question

One factor that is often underweighted in planning is the production cutover downtime window:

• Brownfield: Typically 24-72 hours for the technical conversion, though near-zero-downtime approaches using SUM DMO with system move are emerging. Plan for a long weekend cutover.
• Greenfield: Downtime is primarily for the final data migration cutover, usually 12-48 hours depending on data volume and migration approach.
• Selective: Similar to greenfield, 12-48 hours for the final data transfer, though complex scenarios may require longer.

Common Migration Mistakes (and How to Avoid Them)

1. Underestimating Custom Code Remediation

This is the single most common source of brownfield budget overruns. Teams run the Simplification Item Check, see a number, and estimate based on that. But the check does not capture every issue. Indirect dependencies, dynamic SQL, and custom frameworks that wrap standard SAP calls all create hidden remediation work.

How to avoid it: Run a thorough custom code analysis in the sandbox conversion, not just the static checks. Budget a 30-40% contingency on your initial remediation estimate.

2. Treating Migration as a Pure IT Project

S/4HANA is not a technical upgrade. It changes how finance closes the books (Universal Journal), how procurement manages vendors (Business Partner), how logistics plans production (MRP Live), and how users interact with the system (Fiori). Business process owners need to be engaged from day one.

How to avoid it: Staff the project with dedicated business leads for each functional area. Make business testing a formal workstream, not an afterthought.

3. Ignoring Data Quality Until Cutover

Dirty data in ECC becomes a blocking issue during migration. Duplicate vendors, orphaned purchase orders, inconsistent material master records — these create conversion errors (brownfield) or migration failures (greenfield).

How to avoid it: Start a data quality remediation effort 6-12 months before your migration project kicks off. Use SAP Information Steward, SAP Master Data Governance, or third-party tools to profile and cleanse your data.

4. Skipping the Dress Rehearsal

Some organizations try to save time by doing only one test conversion or one test migration cycle. This is a false economy. The first conversion attempt always surfaces unexpected issues. The second refines the procedure and timing. The third (production cutover) should be boring and predictable.

How to avoid it: Budget time and infrastructure for at least two full dress rehearsals before the production cutover. Measure the duration of each step and optimize between iterations.

5. Neglecting Change Management and Training

Going live on S/4HANA with Fiori without adequate user training creates helpdesk chaos and productivity dips that can last months. The new user experience is genuinely better, but it is different, and people resist different.

How to avoid it: Allocate 10-15% of your total project budget to organizational change management and training. Use SAP Enable Now or a similar digital adoption platform for in-application guidance.

6. Choosing the Wrong Strategy for Political Reasons

We have seen organizations choose greenfield because a new CIO wanted to "make their mark," when a brownfield conversion would have delivered S/4HANA in half the time at a third of the cost. We have also seen brownfield chosen purely because it seemed "safer," when the legacy system was so heavily modified that a conversion would be a nightmare.

How to avoid it: Make the strategy decision based on the objective criteria in the decision framework above. Document the rationale. Get executive alignment before the project starts, not after.

7. Not Planning for Post-Go-Live Evolution

Going live is not the finish line. S/4HANA delivers its full value when you progressively adopt advanced capabilities — embedded analytics, advanced available-to-promise, predictive accounting, intelligent robotic process automation. Too many organizations go live and then immediately disband the project team.

How to avoid it: Plan and budget for a 6-12 month post-go-live optimization phase. Keep key functional and technical resources engaged. Build an S/4HANA capability roadmap that extends 2-3 years beyond go-live.

Case Studies: Three Different Paths

Case Study 1: Mid-Market Manufacturer — Brownfield Conversion

Profile: $1.2B revenue manufacturer, single ECC 6.0 system running since 2008, 1,200 SAP users across 3 countries, approximately 8,000 custom objects, 2.5 TB database.

Decision rationale: Stable business processes, no major organizational changes planned, and a hard deadline to be on S/4HANA before the 2027 maintenance cliff. The custom code volume was manageable, and the business had no appetite for a multi-year transformation program.

Approach: Brownfield conversion using SUM DMO. Custom code analysis identified 2,800 objects requiring remediation, of which approximately 1,100 were no longer in use and could be decommissioned. The remaining 1,700 were remediated over four months by a mixed team of internal ABAP developers and external consultants.

Timeline: 16 months from project kickoff to production go-live. Two dress rehearsals, with the production cutover completed in a 52-hour weekend window.

Cost: $4.2M fully loaded, including $1.8M in external consulting, $600K in SAP licensing adjustments, and the remainder in internal labor and infrastructure.

Outcome: Successful go-live with minimal business disruption. Users initially resistant to Fiori but adopted it within 3 months. Post-go-live, the company implemented embedded analytics and MRP Live in a follow-on phase.

Case Study 2: Global Retailer — Greenfield Implementation

Profile: $8B revenue global retailer, heavily modified ECC system with 35,000+ custom objects, running SAP since 1999 with multiple bolt-on systems. Recently completed an acquisition requiring integration of a second ECC landscape.

Decision rationale: The existing system was so heavily customized that a brownfield conversion would essentially require remediating the entire codebase. Simultaneously, the acquisition demanded process harmonization across both legacy organizations. Leadership decided to use the S/4HANA migration as the catalyst for a broader business transformation.

Approach: Greenfield implementation following SAP Activate. Extensive fit-to-standard workshops resulted in a decision to adopt 85% standard SAP processes, with custom development limited to truly differentiating capabilities (primarily in merchandise planning and retail pricing). Legacy custom functionality was evaluated ruthlessly — of the 35,000 custom objects, only about 2,000 represented unique business logic worth rebuilding. The rest were replaced by standard S/4HANA functionality or retired.

Timeline: 32 months from project kickoff to go-live for the first wave (core markets). An additional 12 months for global rollout to remaining markets.

Cost: $52M over 4 years, including the global rollout. Approximately $38M for the core implementation and first wave, $14M for subsequent waves.

Outcome: Transformative impact on the business. Standardized processes across all markets, consolidated from two ECC systems plus seven bolt-on systems into a single S/4HANA instance. Achieved Clean Core compliance, enabling quarterly adoption of SAP innovations. The first year of operation saw a 25% reduction in IT run costs compared to the legacy landscape.

Case Study 3: Industrial Conglomerate — Selective Data Transition

Profile: $4.5B industrial conglomerate divesting a $1.5B business unit. The divested unit operated on two company codes within a shared ECC system that also served the parent company's other business units.

Decision rationale: A brownfield conversion of the entire system was not viable because the parent company was not ready to migrate yet. A greenfield implementation would take too long given the divestiture timeline mandated by the sale agreement. A selective data transition was the only approach that could extract the business unit's data and configurations into a standalone S/4HANA system within the required timeframe.

Approach: Used SNP Transformation Platform to selectively extract the two company codes, their associated master data, open transactional data, and 3 years of historical transactions into a new S/4HANA system. Configuration was selectively transferred and then refined to remove dependencies on the parent company's shared processes. Approximately 4,000 custom objects specific to the business unit were migrated and remediated for S/4HANA compatibility.

Timeline: 14 months from project kickoff to go-live. Tight but achievable given the focused scope.

Cost: $8.5M fully loaded, including $1.2M in SNP tooling licenses.

Outcome: Clean separation achieved on schedule, enabling the divestiture to close on time. The divested business unit launched on its own S/4HANA instance with a cleaner, more modern landscape than the parent company's remaining ECC system.

Getting Started: Your First Steps

Run the SAP Readiness Check

Before you make any strategy decisions, run the SAP Readiness Check for SAP S/4HANA (available through SAP for Me at me.sap.com). This free, SAP-provided assessment analyzes your current system and delivers:

• Simplification Item analysis — What standard SAP functionality changes will impact your system
• Custom code analysis — High-level assessment of your Z-objects and their S/4HANA compatibility
• Add-on compatibility — Which of your installed SAP add-ons are compatible with S/4HANA and which need alternatives
• Hardware sizing — Preliminary HANA sizing recommendations based on your data volume
• Business process usage — Which SAP modules and transactions you actually use (and which you don't)

This report takes 2-4 weeks to generate and gives you the foundational data you need for an informed strategy decision.

Assess Your Landscape Holistically

The Readiness Check covers your SAP core, but your migration scope is broader:

• Inventory all integrations — Every RFC, IDoc, web service, flat file interface, and middleware connection to and from SAP
• Catalog your third-party add-ons — Check S/4HANA compatibility for every ISV solution running on or connected to your system
• Evaluate your infrastructure — Are you staying on-premise, moving to a hyperscaler (AWS, Azure, GCP), or going with SAP RISE? This decision intersects heavily with your migration strategy.
• Assess your team — Do you have the internal skills for this, or do you need a systems integrator? Be honest about this one.

When to Engage Consultants

For most organizations, the answer is "early, but strategically." Here is a practical approach:

• Assessment phase (2-3 months): Engage a small advisory team (2-4 consultants) to help you run the Readiness Check analysis, assess your landscape, and develop a migration strategy recommendation. This should cost $150K-$400K and deliver a clear go-forward plan.
• Implementation phase: Scale up to a full project team once you have made your strategy decision and secured executive sponsorship and budget.
• Avoid the "Big Bang RFP": Do not go to market asking for a single fixed-price bid covering assessment through go-live. The scope uncertainty at the start of a migration project is too high for fixed-price to work well. Start with a time-and-materials assessment, then move to a more structured commercial model once the scope is understood.

Build Your Business Case

Your business case should address more than just "SAP is ending support." Frame the migration as a strategic investment:

• Risk mitigation — Avoiding extended maintenance costs and compliance exposure
• Operational efficiency — S/4HANA's in-memory architecture, real-time analytics, and streamlined processes deliver measurable productivity gains
• Innovation platform — S/4HANA plus BTP gives you a foundation for AI, machine learning, advanced analytics, and automation capabilities that ECC simply cannot support
• Total cost of ownership — In most cases, S/4HANA on a modern infrastructure (cloud or hyperscaler) delivers lower 5-year TCO than maintaining ECC on aging on-premise hardware

The migration to S/4HANA is a significant undertaking regardless of which path you choose. But the organizations that approach it with clear eyes, a well-matched strategy, and realistic expectations about cost and timeline are the ones that emerge with a genuinely better platform — not just a new version number. Start your assessment now, make your strategy decision with data, and execute with discipline. The 2027 deadline is closer than it feels.