Details
Data quality is one of the most persistent challenges in large-scale SAP S/4HANA migrations, as noted in the SAPinsider Benchmark report. A key part of the process involves identifying critical data to migrate, addressing inconsistent data sources, and aligning information across functions to support reliable reporting and analytics.
In this session, Kyndryl speakers will share their insights on business decision-making needs, identifying the right data sets to migrate with a structured framework, and orchestrating and managing data decisions. They will discuss how user experiences (cost, UX, business continuity) informed their approach, including technical steps such as data refresh, testing, validation, and determining allowable deviations from standards.
Drawing from their extensive experience, our speakers will walk you through the processes and tools that have shaped their approach, offering practical steps to improve data quality, manage complexity, and create more consistent data flows across systems.
Discussion topics will include:
- Data-centricity as a Foundation: The role of data accessibility and alignment across business processes in supporting operational consistency.
- Migration Process and Validation: Techniques used for data integration, quality checks, and validation, with an emphasis on repeatability and transparency.
- Reliable Data for Decision-Making: How efforts to establish consistency and trust in data can support broader goals, including analytics and AI readiness.
Speakers
