5 Key Attributes of Task Mining Solution
- December 19, 2022
- 7 minute read
As robotic process automation (RPA) matures, organizations are quickly realizing that RPA bots cannot be deployed in isolation. Looking at Gartner’s growth projections for RPA, you will see that growth has steadily decreased from 30.9% in 2021 to 19.5% in 2022 to 17.5% in 2023. To garner more value from RPA investments, organizations are now looking toward tools that provide strategic insights, such as task mining.
While RPA focuses on executing automation by applying automated software bots on various processes, task mining helps identify the right processes and workflows for automation by capturing user-level and application-level data. This highly detailed unstructured information reveals the precise steps that make up business processes, thereby telling exactly how and what to automate.
Research indicates that 71% of businesses use 10 or more apps for a single process! Task mining shows precisely where these inefficiencies lie so that you can automate accordingly.
Learn More: What is Task Mining?
When selecting task mining software, organizations should look for the following key attributes:
1. Captures low-level event data from UI logs
Unlike process mining, task mining captures low-level event data like keystrokes and mouse clicks data entries available in UI logs to understand how workflows occur. Some task mining software uses computer vision and optical character recognition (OCR) to “read” the contents of a desktop screen.
2. Highly scalable
Scalability was among the top concerns that RPA adopters encountered. A Deloitte survey finds that “only a tiny minority (3%) of progressive [RPA] leaders have reached any form of scale with more than 50 robots in service.” A separate Forrester report confirms this: “Only 52% of enterprises that have launched RPA initiatives have progressed beyond their first 10 bots.” Therefore, you need a task mining solution that grows with you — keeping up with the rising complexity and volume of processes as well as the increasing number of users.
Learn More: 4 Reasons You Can’t Scale RPA Without Task Mining
3. Data visualization to uncover key patterns
Task mining solutions ingest and process unstructured data gathered from user desktops to provide visibility into tasks and sub-tasks. But you cannot have this data presented in a raw format, which would make it illegible to anyone but data scientists. Thus, strong data visualization capabilities in the form of graphs, charts, data filters, and natural language insights support decision-making.
4. Native integration with built-in or third-party RPA tools
The best task mining solutions reveal insights and allow teams to act on them without any friction. There are two ways to go about this — first, it could integrate with third-party RPA software, which takes the insights and uses them to build automation bots.
5. Easy integration without any disruption
The task mining solution you choose must be fundamentally low code in nature and should integrate without any disruption or overhaul to underlying applications. This helps slash time to market and gain insights faster.
Learn More: How Task Mining Helps Accelerate Digital Transformation
Conclusion
These five features should be on your checklist as you evaluate the best task mining solution for your organization. Finally, the task mining solution should have enough room for integration with popular digital tools, either through pre-built connectors or custom application programming interfaces (APIs).
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