What sets Paxray apart from other task mining providers: technology, process intelligence and data protection 

Task mining has established itself as an important technology for analysing and optimising digital business processes. But not all task mining is the same. Similar functional descriptions can conceal fundamentally different technological and methodological approaches. This article shows how Paxray differs from other task mining providers – not only in terms of data protection, but also in terms of process understanding, methodology and strategic usability. 

Why not all task mining is the same

With the increasing digitalisation of office and service processes, interest in task mining is also growing. Many providers promise transparency in workflows, efficiency gains and automation potential. In practice, however, it quickly becomes apparent that task mining solutions differ significantly in their claims and effects. 

A mere comparison of functions or features is not enough. The decisive factors are the understanding of processes underlying the respective approach and the organisational and cultural implications of using a tool.

Where task mining solutions differ fundamentally

Fundamentally, differences can be identified on three levels: technology, methodology and governance. Some solutions rely heavily on the capture of content, screenshots or text entries to reconstruct processes. Others focus purely on technical interaction data. In addition, providers differ in whether they merely supply raw data or place it in a procedural context. 

Last but not least, the question of how data protection and employee protection are conceptually taken into account plays a central role – as a retrospective safeguard or as an integral part of the design.

Technology: Interaction data instead of content data 

Many task mining tools capture content, screenshots or text entries in order to understand work steps. From a technical point of view, this approach may seem obvious, but it carries considerable risks. Sensitive information, personal data or confidential content may be captured unintentionally. 

Paxray deliberately takes a different approach. Only technical interactions such as clicks, window changes and system paths are recorded. Content, documents, emails or texts are never recorded. This allows process logic to be reconstructed without capturing sensitive information.

Methodology: From click data to process intelligence

Raw data alone does not provide a basis for decision-making. Many tools provide large amounts of click or activity data, but leave its interpretation entirely up to the users.

Task Mining from Paxray takes a more methodical approach. The aim is not to collect as much data as possible, but to reconstruct comprehensible, comparable process models. Variants, loops, deviations and causes of inefficiencies are made explicitly visible. This results in process intelligence instead of mere activity lists.

Combining technology and people

A key difference lies in how human process knowledge is handled. Fully automated analyses reach their limits when context, exceptions or expert evaluation are required.

Paxray combines objective usage data with the knowledge of specialist departments in a targeted manner – for example, through workshops, variant analyses and joint interpretation of the results. This results in measures that are technically sound, accepted and sustainable.

Data protection and employee protection as success factors

In Europe in particular, task mining is inextricably linked to issues of data protection and employee protection. Tools that are perceived as surveillance instruments quickly meet with resistance and lose their effectiveness. 

Paxray is GDPR-compliant by design. Anonymisation takes place directly on the end device, and personal evaluations or performance assessments are technically impossible. This approach creates trust and is a key prerequisite for sustainable use.

Developed for the European context

Many task mining solutions have been developed for markets where data protection and co-determination requirements are less stringent. European companies, on the other hand, are confronted with clear regulatory requirements, works council structures and high expectations of transparency. 

Paxray was developed for this context from the outset. Hosting in Germany, flexible operating models and a clear distinction from employee monitoring make the solution particularly suitable for European organisations.

Conclusion: Task mining is a fundamental decision 

Choosing a task mining tool is more than just a technical decision. It influences trust, acceptance and the way processes are developed within the company. 

Paxray stands out not because of individual features, but because of its consistent overall concept: interaction-based technology, methodical process intelligence, integration of specialist departments and data protection as an integral part. Paxray is therefore aimed at companies that want to improve processes in the long term – not those that simply collect click data. 

References

Gartner (2024): Market Guide for Process and Task Mining Tools. Gartner Research. Available at: https://www.gartner.com/en/documents/6403875.

Deloitte (2023): The Rise of Task Mining: Bridging Human Activity and Automation Insights. Deloitte Insights. Available at: https://www.deloitte.com/ch/en/services/consulting/perspectives/task-mining-to-generate-enterprise-value.html.

van der Aalst, W.M.P. (2022): Process Mining and Beyond: Exploring Task-Level Behavior. Information Systems, 108.