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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 of key facts and takeaways
Summary
References

Summary

Summary

  • The MPPA Solution was able to optimize the overall project deployment process by leveraging ML and Robotic Process Automation (RPA) to help guide our end users to taking proactive actions.

    Key takeaways:

    • A reduction of about 24 percent in total planning and project execution time
    • An approximate 12 percent reduction in planning tasks needed for delivery and installation in targeted projects
    • Between seven to 10 days faster to customer equipment utilization
    • Increased customer satisfaction and trust due to process consistency