What if process analysis were simple?

Process Mining that adapts, not the other way around

No complex tools, no lengthy projects. Process.Science brings transparency to your processes and delivers quickly measurable results.
This is how we transform your processes
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Power BI
Qlik Sense
Tableau
PS Platform
Introduction

The Importance of Process Improvement

In today's business world, continuous process improvement is essential for success. It can help to increase efficiency, reduce costs, and ultimately improve customer satisfaction.
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Core concepts

Mastering process optimisation: analysis, strategy and technology

Pathways to Process Optimization

Process optimization refers to the actions taken to make a business process more efficient. This can be achieved by eliminating bottlenecks, reducing waste, or improving workflows. Process optimization can also be achieved through the use of technologies such as Process Mining and Data Science, which provide data-driven insights into process performance.

The Role of Process Analysis

Process analysis is the first step towards process improvement and optimization. It involves the systematic examination of business processes to understand how they work, where the weak points are, and how they can be improved. Process analysis uses a variety of methods and tools to visualize, quantify, and understand processes.

Our Approach to Process Improvement and Optimization

As a leading IT firm, we specialize in process improvement and optimization. We use advanced tools and technologies to provide you with data-driven insights that you can use to improve and optimize your business processes. Process Mining plays a pivotal role in process analysis. Our approach is designed to help you continually improve your processes and gain a sustainable competitive advantage.
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Conclusion

Process Improvement for Business Success

Process improvement and optimization are key elements for business success. With the right strategy and the right tools, you can make your processes more efficient, reduce costs, and improve your customer satisfaction. Discover how our services can help you optimize your business processes through Process Mining and drive your business forward.
We can change that. By Process Mining.

Advantages of Process Mining

Explore more Benefits
Visualization of a process data analysis.

Objective Analysis

Process analysis based on existing data of your systems, no subjective estimations.

Visualization of processes with a deviating process.

Process Transparency

Compare your target processes with reality and adjust in case of deviations.

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Best Practices

Take advantage of our experience in process analysis and process mining projects with various BI- and ERP systems.

Process Mining Implementation in BI-Systems.

Short implementation times

Our solutions can be integrated into your existing BI systems with little effort.

Visualization of a compliance violation found.

See compliance violations

Ensure that all business processes run according to internal and external guidelines.

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Missing transparency

Challenge

Medium-sized companies usually work on a base of established, informal process structures. They often lack an overview of optimization and economic potentials until already existing difficulties become obvious and expensive to solve. Instead of identifying and eliminating sources of error in advance, errors are being analyzed and corrected after they occured.

We can change that. By Process Mining.

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Visualize. Understand. Optimize.

Solution

Visualize. Understand. Optimize.
We put your company in the position to independently visualize all processes in a graph and analyze them at any time.

process.science delivers out-of-the-box-solutions for Qlik Sense and Microsoft Power BI. process.science opens the door to your business processes and supports you on the way to process automation.

Power BI
Qlik Sense
Newest posts

From our blog

Read the latest news from process.science and stay in touch with us.
Events

Why Procurement Needs More Than Dashboards

May 27, 2026
Partner

Strategic Partnership: Process.Science & Innflow AG

May 21, 2026
Events

‍4th Process.Science Community Workshop in Hamburg: Questions, Connections, and Real Exchange

Apr 17, 2026

Any questions?

The most common questions before an exploration call.

Do we need a massive IT project for the implementation?

No. Since Process.Science integrates seamlessly into your existing infrastructure (like Power BI, Qlik, or Tableau), lengthy setup phases for new standalone systems are eliminated. You simply use what you already have.

How do we prepare for the exploration call?

You don’t need to prepare anything. Just briefly outline where your biggest pain points currently are (e.g., long lead times, lack of transparency in procurement). We will then show you, using best practices, how we solve these problems.

Are our data really safe with you?

Absolutely. We are ISO 27001 certified and 100% GDPR compliant. Our architectural approach ensures you always retain full control over your ERP and system data.

How does Process.Science differ from other Process Mining providers?

Most providers force you to upload your sensitive data to an external cloud and learn a completely new, expensive tool. We turn this around: our engine integrates 100% natively into your existing Power BI, Qlik Sense, or Tableau. This means no system breaks, significantly lower total cost of ownership (TCO), and immediate acceptance by your employees.

How long does it take for the investment to pay off (ROI)?

Thanks to our direct BI integration, lengthy IT implementation projects are avoided. Typically, we uncover measurable savings within the first 4 weeks (during a proof of concept). Across industries, our customers see an average payback period of about 6 months.