Optimizing the O2C process with Process Mining

Learn how to optimize your O2C process with Process Mining. In this webinar, we'll explain in detail how the tool Process.Science collects and analyzes data from various sources and creates a clear visual overview that helps you identify different bottlenecks.

Are you having difficulty gaining insights into your Order-to-Cash (O2C) process? And does that lead to difficulties in focussing in on your business’ long term strategy, or even a decrease in quality of your service? Process Mining collects and analyzes data from various sources and creates a clear visual overview that helps you identify different bottlenecks. Using Process Mining, you will gain greater insight into your O2C process, which allows you to decrease your Days Sales Outstanding (DSO), increase customer satisfaction, and lower your operational costs.

What is Process Mining? 

Process mining is a data analysis technique that aims to discover, monitor, and improve real processes by extracting knowledge from event logs, which record the execution of processes in information systems.  

By analyzing event logs, process mining can provide insights into how processes are executed, including how often specific paths are taken, which activities are taking longer than expected, where bottlenecks occur, and where errors are happening. These insights can be used to optimize processes, identify opportunities for automation or improvement, and monitor ongoing performance. 

What will you learn in this webinar?

With the help of in-depth explanation by our experts combined with a hands-on demo of Process mining in Process.Science, this webinar will answer the questions:

  • What is Process Mining?
  • How can Process Mining optimize your O2C process?
  • How Process Mining reduces operational costs and improves customer experience.

To whom is this webinar interesting?

This webinar is for everyone that is interested in Process Mining, such as:

  • IT & BI managers
  • Power BI and Power Apps end-users
  • Data Analysts
  • Business Controllers

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