Process Mining with SAP Signavio

A guide for Process mining

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Description

Process Mining is the methodology which helps to understand process the way it happens in real environment.

Process mining is (Also called as Process Intelligence) helps to create investigations based on actual performance. This is done on actual workflow data in various IT systems such as SAP. Service Now etc.

An important aspect of any business process management (BPM) discipline is the discovery phase. This is where you gather information about your processes—what’s working well, and what’s not. It helps pinpoint where optimization potential lies. Traditional methods of discovery, however, such as interviews with business application users, tend to be manual and error-prone.

Process mining provides a much more accurate, effective, and data-driven approach to discovery. This guide illustrates the steps necessary to carry out a successful process mining project and explains how to use the resulting learnings to drive process improvement as part of a broader BPM strategy.

There are three main classes of process mining techniques: process discovery, conformance checking, and process enhancement.

Processes are the lifeblood of any business. Whether they are carried out by people, automated or both, most of those processes leave digital traces. Process mining uses these digital traces or event logs to visualize how each process actually functions, in comparison to how the process is intended to function. Process mining helps ‘paint a picture’ of what is really happening in your business.

By mining event logs data — instead of using interviews and estimates — process mining reveals where workarounds, shadow processes, bottlenecks and compliance issues occur and plays a critical role in improving business operations and reducing risks.

What You Will Learn!

  • Introduction to Process mining
  • Process Mining in SAP Signavio
  • Process Investigation
  • Process Analysis

Who Should Attend!

  • Business Analyst
  • Process Analyst
  • Data Analyst
  • Business Managers
  • Process Manager
  • Operations Manager
  • Head
  • Process Architect
  • Six Sigma Black Belt