Move off legacy, without the pain.

Both are true, which is exactly what makes it worth taking seriously now. SAP's mainstream maintenance for ECC 6.0 ends December 31, 2027, a real date, and Compatibility Packs, an earlier support layer, already expired in May 2026. Gartner's own data shows only 39 percent of ECC customers had migrated as of the end of 2024, and projects nearly half will still be on ECC when the 2027 deadline arrives regardless. That gap is not evidence the deadline does not matter, it is evidence of how underestimated these projects are industry-wide. Extended support exists through 2030, and select large customers can negotiate further, but extended support means rising costs and a shrinking list of what gets fixed, not a reprieve. If you run SAP ECC, the honest question is not whether to move, it is whether you start planning now or during the shrinking window everyone else is competing for.

Phased, in almost every case, and the ROI data backs it plainly: phased, business-case-led modernization that tackles the highest-impact systems first typically reaches positive return in 12 to 14 months, against 36 to 48 months for a full rewrite attempted as one undertaking. For SAP specifically, this maps to the choice between Brownfield, converting the existing system while carrying forward configurations and integrations, Greenfield, a clean rebuild that leaves legacy debt behind entirely, and Selective Data Transition, a hybrid that redesigns the business-critical areas while migrating the stable rest as-is. Most complex, heavily customized environments are best served by Brownfield or Selective approaches specifically because they preserve what works instead of re-litigating everything at once. We recommend based on what the assessment finds in your environment, not a default answer applied regardless of what we discover.

More than almost anyone has calculated, which is precisely why we calculate it as part of every assessment. Legacy system maintenance can consume the majority of an IT budget in extreme cases, money spent exclusively keeping an old system alive rather than building anything the business actually needs next. Layer on rising security exposure once vendor patches stop, audit and compliance findings that get harder to explain to a regulator or an auditor each year, and the slow accumulation of workarounds that never show up on an invoice but absolutely show up in productivity. The honest business case for a migration is frequently the cost of the status quo stated in plain numbers, not the promise of what the new system will do.

Real, and worth naming rather than glossing over, which is why our entire methodology is built around it. The industry's most common failure modes are consistent: underestimating data migration complexity, carrying custom code onto a new platform without re-architecting it so it simply recreates the old debt on new infrastructure, and scoping the project without a complete inventory of every integration the legacy system quietly depends on. Each of those is a planning failure, not a technology failure, which is why our assessment phase exists before any migration timeline gets committed to, and why every cutover runs with a tested rollback plan rather than a one-way door.

You own the destination completely, and the more important question is whether its predecessor's problems traveled with it. A migration executed carelessly, especially a brownfield conversion that moves custom code across without re-architecting it, can recreate the same technical debt on newer infrastructure, which is a very expensive way to solve nothing. We treat every migration as a chance to leave debt behind rather than relocate it, documented, on supported extension frameworks, and owned entirely by your team from go-live, so the platform you land on does not quietly owe its own eventual migration ten years early.