Process Mining & Robotic Process Automation (Part 1)

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March 31, 2022 | Academy, Digitalization

Digital value boosters for your business processes

Our daily working lives are becoming more digital by the day. Even before the corona pandemic, we knew that many work steps and processes were in need of optimization. At first glance, you get the feeling that “the store is up and running”. However, there are still glaring weaknesses in numerous processes that are not immediately apparent.

“Digitalization is rapidly changing how organizations create value and how they compete.”

Gartner Deutschland GmbH

The technologies of Process Mining and Robotic Process Automation (RPA) efficiently and purposefully support the advancement of digitalization and automation in the company. They form the basis for successful change and help analyze, understand, improve and, where possible, automate processes to ultimately increase value creation.

How does process mining work?

Process mining examines and analyzes the data available in the company from various systems and is able to illustrate processes clearly. The entire process is analyzed and evaluated across system boundaries and bundled and displayed in dashboards. Bottlenecks, errors and in particular frequently recurring work steps are thus made visible and allow conclusions to be drawn regarding opportunities for optimization.

Reasons for using process mining

Optimization and standardization of existing processes.

The focus is on better visibility and transparency of actual processes. As a result, process mining forms the ideal basis for (robot-assisted) automation.

Continuous review and optimization

of already implemented process optimizations and automations via dashboards.

Produktivität

Despite rapidly advancing digitalization and automation, too many valuable resources are still wasted for reconciling, correcting and transferring processes. Process inefficiencies (execution gaps), along with stress, are among the biggest demotivators among employees. If the potential of consistent digitalization is properly exploited and the topic of (robotic) automation is adequately addressed, the first and most important step towards becoming a “digital enterprise” has already been taken. Technologies are merely the basis for combining higher productivity with sustainability.

On the path to Enterprise 4.0, this enables dynamic optimization of all processes based on key performance indicators (including time, quality, and costs). Efficiency increases of 50-80% can be achieved through the standardized logic of BPMN 2.0 (Business Process Model & Notation).

Recurring workflows and processes are aligned with a defined goal, modeled and shown as an optimal value stream. A process modeled in this way can now either be used to automate “workflows” or as an automated process through system integration.

Process Mining and Robotic Process Automation – sustainable combination on the path to a digital enterprise future

For simple, recurring processes, the “next level”, i.e., the use of RPA (Robotic Process Automation) for autonomization, is relatively easy to implement. The digitalization of corporate processes carried out with the help of process mining forms the ideal basis for the use of so-called bots (robots), which take over simple, recurring work steps and thus give employees more time for more important tasks. Simple, quick steps, make companies fit for 4.0.

Expanding digitalization in a company can reduce costs, minimize error rates and optimize processes – leaving employees more time and freedom for important and essential tasks.

Authors:

Dr. Christian Kubik
Senior Expert
STAUFEN.INOVA

Achim Schwichtenberg
Senior Manager
STAUFEN.INOVA

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Process Mining in Lean Context

You want to deepen your theoretical knowledge about process mining with further contents? Then register directly for the seminar!

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iStock-850495466 (1)

Process Mining & Robotic Process Automation (Part 1)

Digital value boosters for your business processes Our daily working lives are becoming more digital by the day. Even before the corona pandemic, we knew that many work steps and…

Read more

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