Top Use Cases of Task Mining
Task mining is the use of software to capture desktop-level event data such as screen recordings, keystrokes, mouse clicks, and data entries through the use of computer vision and optical character recognition. Task mining enables enterprises to uncover process inefficiencies, identify automation potential and enhance the employee experience.
Gartner predicts that by 2024, 65% of organizations that have deployed automation technologies will introduce artificial intelligence that includes machine learning, natural language processing algorithms, process mining, task mining, and intelligent document processing capabilities to streamline their processes.
Most enterprises are challenged by significant operational visibility blind spots and lack last-mile visibility into users’ digital manual experience at work. This limited visibility impacts larger strategic initiatives and leads to cost inefficiencies. Task mining enables enterprises to overcome blind spots by providing granular visibility at a task-level into processes.
Top 3 Use Cases of Task Mining
Task mining is used along with process mining to identify inefficiencies, delays, and bottlenecks at a task level across processes. Below are the top three use cases of task mining:
Boosting Organizational Productivity: By uncovering tasks bottlenecks employees face in their day-to-day environment, task mining enables organizations to improve productivity and achieve business outcomes successfully.
For instance, by identifying variance in the way a similar process is executed, organizations can introduce relevant user training and process description documents to ensure compliance and conformance. Similarly, by identifying the usage of unauthorized applications, enterprises can streamline application usage.
Create Credible Automation Pipelines: In order to identify and build credible automation pipelines, organizations need to have granular visibility into the last-mile of users’ manual digital experience. This visibility is key to building a credible automation pipeline.
Often, to optimize processes, organizations hire consultants who recommend solutions based on point-in-time data, but this approach often delivers inaccurate results and is inexpensive. In turn, leading to unsustainable and unscalable automation initiatives. Task mining helps improve accuracy by identifying credible automation pipelines.
Enhancing Employee Experience: Task mining plays a key role in improving employee experiences by uncovering the hotspots and bottlenecks employees face with applications or while executing tasks. Often in a process-intensive environment, information is siloed across custom applications, Excels and documents – this impacts the SLAs and throughput.
With task mining, organizations can identify areas of hotspot and reduce toil through enablement tools, targeted user training, and automation. Thus, improving the employee experience and helping them to be more productive.
Learn More: What is Automation?
Speeding up Digital Transformations Through Task Mining
In an ever-evolving business landscape, organizations are under increasing pressure to build leaner, more efficient processes and deliver impactful results. In order to operate at peak efficiency and build resilient business operations, organizations need to embrace digital transformation.
Task mining is a key component of digital transformation programs. It enables organizations to gain granular visibility at a task level into processes, discover hotspots, and locate bottlenecks and areas where work is duplicated. By analyzing this data, organizations can make informed, data-driven decisions and implement continuous improvement at scale, thus achieving key business imperatives.
Building Transformations with Task Mining across Sectors
Task mining provides a solid technology foundation to break down silos and operate at optimum efficiency across sectors. For instance, in finance, task mining can be used to identify manual, repetitive financial processes, such as accounts payable and accounts receivable and automate them. This helps financial institutions reduce the time and cost associated with manual data entry and improve data accuracy, leading to improved customer satisfaction.
In the retail industry, task mining can enable retailers to analyze customer feedback and purchase data to optimize their inventory management, supply chain, and marketing strategies. By automating routine tasks such as inventory tracking, retailers can improve operational efficiency and reduce costs while increasing customer satisfaction.
In manufacturing, task mining can help manufacturers reduce the time required to produce goods and improve product quality, increasing customer satisfaction and loyalty.
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Today, over 60% of the teams’ workday is spent on unstructured interactions in documents, emails, communications, custom applications, and websites – outside of ERP, CRM, and other systems of record.
This massive unstructured and undocumented interaction dataset stemming from people’s interactions with software is untapped and contains a ton of valuable insights that can give enterprises a significant competitive edge. Organizations can unlock this data source through ScoutTM, powered by the world’s first work graph platform, and fuel their digital transformation strategy.
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