Transform SAP operations with automation, AI-driven data quality, and seamless integration across your enterprise.
With SAP’s accelerating cloud-first strategy and the shift to S/4HANA, organisations face increasing pressure to modernise processes, improve data quality, and reduce operational complexity. This guide reveals how intelligent data automation is becoming the foundation for successful SAP transformations—enhancing scalability, ensuring clean, reliable data, and enabling faster, more efficient decision-making across the business.
By combining automation with AI-supported tools, companies can reduce manual effort, eliminate errors, and build the agility required for continuous improvement in a rapidly changing landscape.
Key Highlights:
Automation as the cornerstone of SAP transformation – Process and data automation are essential before, during, and after the move to S/4HANA, ensuring standardised data flows and fewer manual errors (page 2).
AI-enabled data quality – Intelligent auto-complete, duplicate detection, and inconsistency flagging significantly improve master data integrity while reducing employee workload (pages 3–4).
Master data excellence at scale – Material master data—often the most complex and error-prone—is transformed through automated updates, governance, and AI-driven recommendations (page 4).
Fiori-driven user experiences – With 67% of companies increasing their use of SAP Fiori, Precisely’s Automate Evolve supports intuitive, no-code automation of Fiori apps for cleaner, faster data handling (page 5).
End-to-end integration via APIs – As automation expands across SAP, CRM, and third-party systems, seamless API integration addresses the top challenge: embedding automation into existing business processes (page 6).
Proven customer impact – Organisations such as Johnson & Johnson, Miltenyi Biotec, and Endress+Hauser are achieving reduced errors, improved compliance, and faster processing through automation (pages 8–10).
Across real-world case studies and expert guidance, the report demonstrates how data automation enables companies to build a clean core, reduce complexity, and secure long-term transformation success.
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