Driving Process Optimisation Ahead of SAP S/4HANA Migration

A diversified global agribusiness enterprise partnered with Percipere and FUTUROOT to optimise pre-migration processes in preparation for a critical SAP ECC to SAP S/4HANA transformation within 12 months. With complex operations spanning multiple regions, the organisation sought to reduce migration complexity, eliminate inefficiencies, and ensure smooth adoption of S/4HANA by aligning current processes with modern best practices.


Business Challenge

The company faced a high-stakes challenge: migrating to SAP S/4HANA without simply replicating existing inefficiencies. Leadership needed clarity on how current SAP ECC processes aligned with SAP S/4HANA best practices, which redundancies and bottlenecks might carry over, and what optimizations could accelerate adoption. Without actionable insights, a “lift and shift” approach risked ballooning costs, extended timelines, and major post-migration disruption.

Value Proposition

FUTUROOT delivered a fact-based, data-driven approach to pre-migration process optimisation:

  • Root Cause Diagnostics: Pinpointed delays caused by manual interventions, excessive approvals, and outdated workflows while identifying redundancies that could be eliminated.
  • Conformance Checking: Benchmarked ECC processes against SAP S/4HANA reference models, identifying deviations, missing steps, and redundant activities.
  • KPI Analysis: Measured cycle times, bottlenecks, and inefficiencies to reveal the true performance of existing processes.
  • Ideal Process Management: Applied SAP S/4HANA “ideal” process flows as the target blueprint, enabling teams to prepare for new ways of working before migration.
99%
Fewer Process Variants: Reduced complexity in Procure-to-Pay (P2P) from 120 to 45 variants, simplifying the migration landscape.
27%
Custom Code Reduction: Retired unnecessary Z-codes ahead of migration, lowering technical debt and minimising rework during S/4HANA adoption.
25%
Faster Cycle Times: Invoice approval durations decreased from 10 days to 7.5 days, reflecting more efficient, standardised workflows.
19%
Lower Migration Effort: Resolving inefficiencies upfront reduced overall migration workload and testing scope, saving roughly two months of project time.

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