Case Study
Global toy manufacturer achieves digital transformation with SAP S/4HANA
- SAP S/4HANA
- Legacy Modernization
The client is a US-based multinational conglomerate with mega brand assets across toys, board games and media. The company is committed to creating the world's best play and entertainment experiences.
The client’s legacy ERP system was dated (established more than 20 years ago). It was moderately customized with over 20,000 custom objects. The aging system was unable to scale up to meet the dynamic needs of a growing business and new acquisitions.
Key Challenges
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Talk To ExpertsBest-in-class ‘Safe Passage Conversion Methodology’ for system conversion
A typical conversion project involves a minimum of 7 cycles before the actual production cycle gets under way. Infosys has a ‘Fail First’ approach that ensures all unknown gaps are identified in the first conversion cycle itself.
Infosys leveraged its best-in-class ‘Safe Passage Conversion Methodology’ supported by certified tools and accelerators for the system conversion from ECC to SAP S/4HANA. This ensured repeatable success across the mock cycles and reduced dependency on the team.
Cutover plan with thorough detailed work breakdown structure to manage all the tasks
Deep understanding of SAP conversion tools (SUM and ATC) helped in efficient planning for exceptions
Infosys certified tools were used for automated code remediation in addition to data migration and reconciliation
Risk-based testing plan ensured full coverage across the 6 conversion cycles
The new digital business platform was put in place while retaining existing business processes. This minimized business impact and created opportunities for new innovations
Batch processes were replaced with real-time reports to provide real-time business insights for quick and intelligent decision-making
Best-in-class ‘Safe Passage Conversion Methodology’ ensured 10 hours ahead of go-live, providing business early access to the system
The transformation has resulted in a leaner landscape (70% smaller data footprint) and simplified business process that can be easily managed by AMS teams
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