Process mining gives you the information you need to prioritize digitization and automation.
Editor’s note: This story originally appeared in the Optimization issue of Workflow Quarterly.
Many of us are spending so much time on digital transformation that it can be easy to forget the underlying purpose. At its core, digital transformation aims to create a better experience for our customers and employees. Automation is a key part of the story. To deliver better products and services, businesses are automating manual, repeatable processes. This frees up employees to perform more creative tasks while making it possible to achieve business goals even faster. It’s better for customers and employees.
If we focus on the goal of digital transformation, it becomes easier to see the next logical step, which is increasing the quality and the efficiency of our digital experiences. In a word, the next step is hyperautomation.
Hyperautomation brings together cutting-edge technologies like artificial intelligence, machine learning, robotic process automation, and process mining to automate as many business processes as possible. In the years to come, you’re going to be hearing a lot more about all of these technologies, but I want to focus on process mining.
Process mining is a uniquely powerful tool that can reveal bottlenecks and redundancies that slow down business processes. A business process is any set of related, structured activities that lead to a specific outcome, like when a customer submits a support ticket that must be routed to the correct team. Here’s how process mining works and why I think it’s so important.
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