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Leveraging Real-Time Process Data to Predict Delays and Improve Deployment Time to Value
Introduction Methodology Solution and architecture Key findings Initial reactions and feedback Conclusion
Summary
Summary of key facts and takeaways References

Summary

Summary

  • MPAA has been successful in our initial deployment, earning great feedback, which is reflected in Key Performance Indicator (KPI) improvements. Building on the success of MPPA, we continue process mining, ML, and smart recommendations across the entire life cycle of a deployment project to optimize the complete project time to value. In addition, an automated allocator for project resources is in development to reduce the time and effort for “first time right” resource allocation.