Task mining is an advanced tech-enabled solution that empowers organizations to visualize how each task is executed by employees, either independently or collaboratively with colleagues.
The catalytic health crisis of 2020 triggered a wave of change across the globe, compelling every organization, be it commercial, educational, legal or administrative, to restructure their operations, befitting the intense lockdown protocol. The change is still paramount three years after the pandemic ended. The new normal way of life witnessed a surge of hybrid or remote work modules that cumulated into numerous benefits and challenges for businesses. One of the major challenges was transforming the dynamics of employees’ productivity monitoring techniques in a remote work system. So, companies faced a herculean task, reorganizing priorities and rethinking ways to help employees easily adapt to the transition, as some sections of the staff were unlikely to return to usual office settings.
Against the same backdrop, organizations further encountered difficulties keeping their employees’ productivity and morale high.
The efficiency and accuracy of operations were questioned in the light of remote work models. Expectedly, companies turned to cutting-edge technologies to find a one-size-fits-all answer to their immediate problems. Task Mining, a subset of Process Discovery, emerged as the go-to solution for all.
Task mining enables businesses to easily capture staff actions as they execute tasks. Furthermore, the tools also record employees’ screen actions, mouse clicks, keystrokes, and desktop-level event data. It applies NLP and optical character recognition (OCR) tools to evaluate the data and generate actionable and profound insights. This allows each step in the task execution to be carefully monitored and analyzed to expose process inefficiencies, gaps, deviations, and roadblocks.
Eventually, the findings detect incompetence and suggest remediation to improve employee proficiency and experience.
In order to reach the preferred efficiency level, task mining tools with extended AI/ML capabilities are employed carefully to identify patterns and contextualize the captured data, which drafts process maps. The latter covers last-mile variations and provides process and workforce-related insights.
On the other hand, most companies, unfortunately, lack the resources to commence their automation journey. But, they need the power of technology to conduct a comparative study of internal processes’ current status and their inclination toward automation. A combination of process and task mining can provide the very understanding. Task mining solutions can easily build datasets from a single task and effectively identify the holdups of their business processes.
Task mining is an efficient solution owing to the ability to dive deeper into processes at the task level and unearths granular variations in real-time. Such insights help owners and stakeholders understand how their organization operates and employees work while transitioning into a unique working style, deviating from documented processes.
Task mining is often confused with process mining, even though the two have striking differences.
Process mining optimizes end-to-end business processes, including procurement, employee onboarding and training, etc. Contrarily, task mining targets individual tasks building up a larger process, for example, budget approval for accounts payable. Both rely heavily on data, but the datasets are different and unique. The former utilizes business metrics and event log data from information systems, namely Enterprise Resource Planning (ERP) or Customer Relationship Management (CRM) tools. But task mining focuses primarily on user interaction data, covering keystrokes, mouse clicks, or data entries on a computer. The latter also considers user recordings and screenshots at different timestamp intervals to evaluate task executions. These data points visually represent how each resource interacts with a process or sub-process to complete a task.
Both process and task mining leverage data science techniques to draw inferences from these insights and help optimize processes. However, task mining further improves processes at a more granular level.
Task mining is significant while framing business processes for automation. However, several companies are still lagging in fully incorporating task-mining solutions. Task mining is an advanced technology designed to aid firms in fully comprehending how each task should be handled compared to how they are executed in reality. With user interaction data, the tool scrutinizes processes and identifies opportunities for improvement. This helps deliver a complete view of processes that enhance business productivity by connecting individuals, data, and processes and mining user interactions.
Source: https://www.edgeverve.com/assistedge/assistedge-discover/
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