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Many companies document their processes without being able to measure them accurately. Processing times, costs and variants often remain assumptions – with significant consequences for optimisation and automation decisions. Task mining provides a remedy here by making real workflows quantifiable, comparable and economically assessable. This article shows how task mining makes processes measurable and how

Task mining does not deliver the same level of benefit everywhere. The technology is particularly effective where digital knowledge work, manual activities, multiple systems and a high degree of variability come together. This article provides a practical overview of typical use cases, roles and business areas in which task mining – especially with Paxray –

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

Task mining solutions are not a classic software rollout, but rather a structured improvement project. A clear process is crucial to achieving transparency, acceptance and reliable results. This article explains step by step how a typical task mining project with Paxray works – from defining objectives to data protection and data collection to analysis, measures

Reliable process documentation is a key prerequisite for efficiency, compliance and successful transformations. In practice, however, it often fails due to manual, subjective and quickly outdated methods. This is where task mining comes in: it automatically and objectively captures real workflows based on actual user interactions. The following article explains why traditional process documentation has

CRM and ERP migrations are among the most strategically important, but also the riskiest, transformation projects undertaken by companies. Studies show that a significant proportion of these projects fail to meet their time and budget targets – not because of technical shortcomings, but because of an insufficient understanding of the processes actually in place. Task

After observing thousands of workflows across different enterprises, we’ve noticed the same costly pattern: teams rely on gut feeling or scattered reports to optimize processes, but miss the hidden inefficiencies draining productivity. Manual process analysis is where good operations often fail. For example, your team invests weeks in mapping out a “standard” workflow for invoice

They say if you want to know how messy your business is, never check the balance sheet! Watch how long it takes Steve from accounting to find the right spreadsheet tab. That’s the issue that task mining and process mining attempt to address. They eliminate the daily confusion of processes, allowing you to identify inefficiencies,

While companies are now beginning to consider Robotic Process Automation (RPA) as a rapid and lightweight approach for automating their repetitive and monotonous business processes, many organizations are unable to determine the impact of these implementations. That is one of the main reasons why Gartner currently classifies RPA in a phase called the trough of