In this blog post, we will learn how Computer Vision Drives the Understanding of Business Processes. To future-proof and optimize business processes, organizational leaders have embraced digital transformation. Specifically, they are turning to process mining – a family of techniques that pulls relevant data from event logs and creates process maps to discover opportunities to optimize processes and perform audit and compliance checks.
In more detail, an event log records an employee's tasks during a specific point in time. Since the events are mostly closed transactions, this model opens a window into the methods an employee uses, and the steps it takes to complete a task. While most process mining companies are employing this structured, event log model, Skan is harnessing the power of computer vision to create visual process logs and analyze data in real-time.
In short, event logs fail to capture the interaction between human beings and devices. That remarkably untouched data is what Skan taps into. Through observing employee processes, leaders can identify bottlenecks and come up with targeted solutions and interventions. For instance, if the tool records suboptimal behavioral patterns – such as an employee scrolling for an extended period before clicking on an item or going back and forth before making a decision – s/he could be selected for training. Similarly, if the visual log shows that a compliance check is taking longer than expected, an intervention can be suggested to streamline the process.
Though it sounds straightforward, computer vision – in its attempt to compete with human intuition and mind – must wade through various levels of complexity.
Let's consider a self-driving car to see how it works its way through four successive levels of complexity.
Despite its challenges, applying computer vision to process mining has significant potential to transform business processes. Here's what it looks like in the context of applying for a mortgage.
In addition to using these computer vision techniques for process mining and process discovery, Skan is applying artificial intelligence to drive business insights. Across locations, Skan provides a detailed view of process variants that employees are following. In the home loan example, it could mean revealing underwriters performing credit checks differently or loan processors recording time disparities when manually filling in applications. These insights enable organizations to address gaps in skills, segment tasks according to skill level, create real-time transparency, and support compliance.
Anoop Mishra is the Head of R&D at Skan and has over 20 years of experience building technology solutions. He is based in Skan's silicon valley headquarters.
“One of the things you don’t ever want to do is to automate a bad process. You are just going to make bad things happen faster, and that is not what anyone wants.”