Visão geral
Drive your digital transformation with speed, precision, and confidence. Organizations undertaking an SAP S/4HANA migration cannot afford to rely on assumptions or outdated process maps. A modern process mining platform provides the critical visibility needed to understand how your business truly operates before, during, and after transformation. By unlocking end to end transparency, it empowers teams to uncover inefficiencies, prioritize actions based on real data, and align stakeholders around a shared, data driven roadmap that accelerates timelines, reduces risk, and grounds every phase in measurable insight.
Unlock SAP S/4HANA success with process mining
Five stages of a data driven migration
Understand your as is landscape
Visualize real process flows across departments to gain accurate, end to end visibility into how work is actually executed, not just how it is designed on paper. Benchmark performance with prebuilt KPIs that highlight inefficiencies, delays, and outliers, and replace guesswork with a solid foundation for transformation planning.
Simplify and standardize
Streamline complex processes to reduce inefficiencies, align workflows with SAP best practices for consistency, and harmonize processes across global operations to support collaboration and scalable growth.
Build a targeted migration roadmap
Prioritize high return, low risk opportunities, allocate resources with interactive dashboards, and define KPIs aligned with transformation goals so progress is measurable throughout the migration.
Mitigate risks
Pinpoint inefficiencies and process debt to uncover bottlenecks and redundancies. Model proposed changes and run scenario simulations to anticipate outcomes, reduce unexpected challenges, and ensure compliance throughout the journey.
Optimize continuously after go live
Monitor key processes in real time to track improvements, identify automation opportunities, and make sure the system evolves alongside business needs, building a culture of continuous innovation.
Case study
A global manufacturer cuts migration scope 20%
Challenges. A global manufacturing enterprise faced significant hurdles in its transition from SAP ECC to SAP S/4HANA. Despite efforts to standardize operations, there was limited visibility into actual process execution across departments and regions. The organization grappled with extensive, undocumented custom code accumulated over two decades, and the absence of a clear, data driven strategy made it hard to prioritize transformation efforts.
Approach. The company implemented mindzie process mining across order to cash, procure to pay, and manufacture to ship. By connecting directly to SAP ECC, the platform provided real time insight into process flows and performance metrics, revealing inefficiencies, redundant customizations, and areas ripe for automation, and enabling a more informed, strategic migration roadmap.
46% of sales orders required rework
More than 270 process variants were identified across the order to cash flow.
30% of custom code redundant or unused
Two decades of undocumented customizations could be retired before migration.
A prioritized roadmap
Transformation effort was focused on the high impact areas the data exposed.
Outcomes. A 20% reduction in migration scope, $3.1 million in projected savings from process optimization, a three month acceleration of the migration timeline, and real time process monitoring established after go live.
Post migration advantages. The organization continues to use process mining for continuous monitoring and enhancement, which guarantees compliance with the new standards while promoting a culture of perpetual innovation and surfacing further improvement opportunities.
The outcome
A successful SAP S/4HANA migration hinges on a comprehensive understanding of current operations, strategic simplification, and continuous optimization. By visualizing real process flows, organizations benchmark performance and eliminate inefficiencies, align operations with S/4HANA best practices, prioritize high impact and low risk areas, and mitigate risk by modeling changes before they are made. After go live, real time monitoring keeps the ERP evolving with the business.
