For businesses, process discovery encompasses various technologies and techniques to discover how business processes are performed.
Definitely, it takes a leap from conventional process mining to come across what occurs in the “white space” between system logs of various events in different processes. White space denotes to several things that people do to create business process events (like, steps followed to pay an invoice), and includes everything from mouse clicks to opening files, documents, etc. and also includes transmission of information among them.
The intention behind process discovery is to improve business process efficiency. For the process, it uses various tools of automation, such as machine learning (ML) and artificial intelligence (AI). Using these technological advancements, they can present ideas on what steps businesses can take to automate existing processes to achieve this objective. It can also be used to illustrate new processes which can bring automation to streamline critical functions like customer service and human resources among others.
What changes process discovery can induce?
When it comes to automating critical business operations, process discovery can provide an ideal blueprint. This software is an excellent tool to record human actions between users and workflows to determine exactly what can be required to optimize with tools like Robotic Process Automation. In other words, it provides complete information about what’s being done by people and IT systems, so that automation can be determined.
It can be said that process discovery is a key enabler for organizations to enhance efficiency by ensuring more work with lesser resources, while also minimizing error in the process.
Let’s see the specific benefits:
Ability to scale processes
As the software reveals what exactly happens in a process, it highlights what is needed to scale them for business imperatives, like scaling up HR functions for critical operations like mergers and acquisitions.
Greater customer satisfaction
It comes as the implicit impact of process automation for customer-facing applications like loan process and healthcare insurance claims. With increased efficiency and effectiveness of processes with discovery support, businesses can expect better customer satisfaction. Paired with RPA (Robotic Process Automation), it can give faster results.
Better productivity
Process discovery can improve existing automation efforts and enable better performance and quality of important functions. For example, in loan processing, workers can complete the process faster, smoother, and without errors.
By identifying bottlenecks in any various functions, process discovery can determine better productivity with higher efficiency.