How to Enhance Data Quality in S/4HANA: A Comprehensive Guide

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Key Takeaways

⇨ Prioritizing high data quality throughout the migration to SAP S/4HANA is essential for accurate reporting, efficient processes, and effective decision-making.

⇨ Automation tools like Precisely Automate Studio and Data360Analyze play a crucial role in assessing, transforming, and validating data during the migration process.

⇨ Continuous improvement and agility post-migration are vital for sustaining the benefits of SAP S/4HANA, ensuring ongoing data quality and process optimization.

As the 2027 deadline for SAP S/4HANA migration approaches, only 55% of organizations have started or completed the move. Data quality is crucial in this transition, impacting reporting, processes, and decision-making. High data quality ensures accurate reporting and efficient processes, maximizing the benefits of S/4HANA. Before migration, it is essential to assess current data quality, cleanse and reformat data using tools like Precisely Automate Studio, and plan for process redesign. During migration, transforming data to fit new structures with tools like Data360Analyze and validating data to prevent quality issues are critical steps. After migration, continuous improvement of data quality using automation tools for data export, editing, and import is vital. The case study of Tuomi Logistiikka, which leveraged Precisely Automate for a successful migration, highlights the importance of automation in maintaining data quality. Prioritizing data quality throughout the migration stages ensures a seamless and effective S/4HANA transition.

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