Bank applications encompass complex and manually intensive business workflows. Right from customer onboarding to an account closure process a lot of banking processes are still in need of complete automation.

Process mining has always been used to understand the underlying dynamics of a business process. It has also been an activity that has helped banks estimate the manual efforts involved in executing a process. With the right strategy, it can help banks understand the complete automation potential of a business process.

Modern-day process mining methodologies have emphasized the need and the importance to capture even logs of a process in order to better understand the process itself.

An intelligent process mining activity can help banks understand their business workflows in a more holistic manner by capturing and understanding user interactions, keystrokes, pages visited, and total time is taken for the process completion.

This also helps the banks to build a robust pipeline of business workflows that can need automation and increase the focus on bringing down process costs. A correct intelligent process automation strategy can help banks drive better bottom line revenue as well.

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