3 Ways to Drive Continuous Improvement with Task Mining
Today’s fast-paced business environments drive organizations to do more with less. Task mining is an essential component of process intelligence technology that helps identify routine tasks to reduce costs, improve efficiency, and stay competitive.
According to Gartner, task mining involves capturing employees’ screen recordings, keystrokes, mouse clicks, and data entries – the desktop-level event data – and utilizing tools like natural language processing to interpret the data and generate valuable insights.
This emerging technology holds tremendous potential for organizations, as it enables them to enhance productivity, reduce costs, and deliver superior customer experiences through efficient workflow analysis and optimization.
This blog explores three ways in which enterprises can reap the benefits of task mining and drive successful business outcomes.
1. Unlock efficiency with task mining
Task mining takes a more granular approach by focusing on individual tasks within those processes. This detailed understanding of task-level activities empowers organizations to identify bottlenecks, and inefficiencies, and reduce redundant tasks within their back-office operations.
Armed with this information, businesses can re-engineer their workflows, eliminate non-value-added activities, and optimize resource allocation. By fine-tuning individual tasks, organizations can achieve significant efficiency gains and improve overall productivity.
Learn More: Understand Task Mining and Process Mining
2. Enhancing automation capabilities with RPA integration:
Robotic Process Automation (RPA) has gained significant traction in recent years for automating repetitive and rule-based tasks. Task mining takes the potential of RPA a step further by providing native integration capabilities. By combining task mining with RPA, organizations can automate processes more intelligently and efficiently.
Task mining helps identify the most suitable tasks for automation by analyzing their frequency, complexity, and potential impact on business outcomes.
This analysis allows organizations to prioritize automation efforts and build credible RPA pipelines in a targeted manner. Moreover, task mining enables continuous monitoring and optimization of RPA implementations by identifying exceptions in work patterns.
The integration of task mining with RPA enhances process automation by reducing the risk of errors, improving accuracy, and optimizing resource utilization. By automating mundane and repetitive tasks, organizations can free up valuable employee time, enabling them to focus on higher-value activities that require human creativity and problem-solving skills.
3. Empowering employees with AI skills augmentation
Task mining plays a crucial role in augmenting the skills of employees through AI-powered insights.
Task mining provides organizations with a deep understanding of how employees interact with various software applications and complete their tasks by capturing data such as screen recordings, keystrokes, mouse clicks, and data entries, allowing them for a comprehensive analysis of user behaviors.
Through advanced AI algorithms, task mining tools can extract valuable insights from this data, highlighting areas for improvement and identifying training opportunities.
Get granular insights into individual tasks with Scout®
Today, more than 60% of the workday is spent on unstructured interactions in documents, emails, communications, custom applications – outside of ERP, CRM, and other systems of record.
This massive unstructured and undocumented interaction dataset between people and software is untapped and contains a goldmine of insights that could give a significant competitive edge to enterprises.
Organizations can unlock this data source through Scout®, and unlock multiple opportunities to get insights into how to automate processes and streamline unnecessary variations of work.
To get started with Scout®, click here.