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Process Mining and Task Mining are a natural fit to develop deep operational excellence across an organization.
Benefits for your Business
More than 50% of Fortune 500 Enterprise companies are already using Process & Task Mining tools to help them improve their business process.
Increased process efficiency
Better compliance
Identification of process bottlenecks
Discovery of inefficiencies
Optimizing productivity
Discovering automation opportunities
Process & Task Mining
There are differences between these solutions in terms of overall approach, technical design, and outcome.
Process Mining
Process Mining focuses on an end-to-end analysis for any process, such as applying for a mortgage. This process consists of multiple steps (pre-qualification, application, processing, underwriting, and approval). Process Mining uses logs from enterprise business applications to reassemble each step to show how the whole process works in real-life, not how it's set on paper. Thanks to Process Mining, companies are able to diagnose inefficiencies, analyze end-to-end processes, and optimize their models of operation
Task Mining
Whereas Process Mining focuses on the end-to-end process to identify steps where a company is losing time and money, Task Mining focuses on those particular steps and reconstructs how work is really getting done by connecting employee interaction data with your application portfolio, so you understand the root causes of those inefficiencies. You'll be able to see all the bottlenecks employees face during an average workday and what workarounds they need to apply. With data-driven workforce management, process/task improvement, and smart automation, companies can improve employee experience and efficiency as well as offer their customers more satisfaction.
Although both technologies can be used in isolation it is recommended to use both where possible to achieve the most value.
The combination of task mining and process mining creates a new class of tools, called Robotic Process Mining, that enable enterprises to accelerate the discovery, analysis and impact of automation efforts.
Recognized by Analysts
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