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Driving Organizational Efficiency and Process Transformation with Process Mining 

  • Featured Insights
  • May 30, 2023

Process discovery is significant in the RPA life cycle. When you have the proper process to automate, you will only face a few challenges later in process design and development.

What Is Meant By The Right Process?

A process that is repetitive, rule-based, high in volume, high in ROI, and stable is the right process to automate.

Traditionally, we analyzed these characteristics of the process over a meeting with Subject matter experts where they explain their process step by step and based on these discussions usually decisions are taken on whether to automate that process or not.

The problem with this traditional approach is that even though the process looks straightforward there will be some bottlenecks and risks associated with the processes which we missed and those come into the picture at a later stage when we have already thought and designed the automated solution, which causes a lot of issues in development and testing or even sometimes we need to rebuild process or process will be in a shelf.

This approach is not very efficient nowadays when you already have huge competition in the RPA market.

A process that is repetitive, rule-based, high in volume, high in ROI, and stable is the proper process to automate.

Traditionally, we analyzed these characteristics of the process over a meeting with Subject matter experts where they explain their process step by step, and based on these discussions, we decide on whether to automate that process.

The problem with this traditional approach is that even though the process looks straightforward, some bottlenecks and risks will be associated with the methods we miss. Those come into the picture later when we have already thought and designed the automated solution, which causes many issues in development and testing. Sometimes, we need to rebuild the process, or the process will be on a shelf.

This approach could be more efficient nowadays when you already have huge competition in the RPA market.

How Can We Optimize Process Discovery?

Here is the solution called Process Mining. The very right thing to transform your organization with new and reliable technology. 

Process mining is a technique to identify the execution path taken by a process and address its performance and compliance problems, risks associated with the process, and process bottlenecks before approving the process for the next steps. This technique turn data into insights and actions. This helps to identify inefficiencies, deviations, and pain points in the process before we select a process for automation and can describe sequential, choice relation, concurrent and loop behavior It focuses on the improvement of complex business processes, and efforts around business outcomes and shows actual view of the process. 

There are several tools present in the market for process mining: 

The first step is the organization should change the approach for process discovery from traditional to process mining. Process Mining works in 3 different phases Discovery, conformance, and enhancement. These three phases are very important for organizations to identify the right and effective process. 

Here is the solution called Process Mining – the right thing to transform your organization with new and reliable technology.  

Process mining is a technique to identify the execution path taken by a process and address its performance and compliance problems, risks associated with the process, and process bottlenecks before approving the process for the next steps. This technique turn data into insights and actions. It helps to identify inefficiencies, deviations, and pain points in the process before we select a process for automation and can describe sequential, choice relation, concurrent and loop behavior. It focuses on improving complex business processes and efforts around business outcomes and shows an actual view of the process.  

There are several tools present in the market for process mining:  

  • UiPath Process Mining  
  • Celonis  
  • Minit  
  • ProcessGold  
  • Signavio  

Process Mining works in 3 different phases Discovery, conformance, and enhancement. These three phases are critical for organizations to identify the correct and effective process. The first step is the organization should change the approach for process discovery from traditional to process mining.  

Process mining has the capability of entirely changing the perspective of organizations’ automation journey. Organizations can achieve operational efficiency and scale in RPA way beyond what you think. Overall, it is like an X-ray of your process where you can find various conditions that exist and have not been highlighted previously, highlighting the impacts and the actions that need to be optimized. 

Here is an example, Consider the order fulfilment process, where the customer will order the item and complete the payment, and gets a notification of successful order. Imagine that you are purchasing shoes from Amazon. Refer below images explaining how things are getting highlighted with the help of process mining using data mining and AI technology. 

Process mining can entirely change the perspective of organizations’ automation journey. Organizations can achieve operational efficiency and scale in RPA beyond what you think. Overall, it is like an X-ray of your process where you can find various conditions not highlighted previously, highlighting the impacts and the actions that need to be optimized.  

Here is an example: 

  • Consider the order fulfillment process, where the customer will order the item, complete the payment, and get a successful order notification. 
  • Imagine that you are purchasing shoes from Amazon. 
  • Refer below images explaining how things are getting highlighted with the help of process mining using data mining and AI technology.  

Key Steps To Make This Journey Effective With Process Mining:

Identification of critical processes:

Start the first step by identifying critical processes that will be very impactful regarding ROI and scalability. These methods are evident to the customers and the organization, eventually attracting many different techniques.

Collection of data:

Gather all required data for the identified process, including sequences of events, rules, resources used, required time, and process outcomes.

Analyse data:

Use process mining tools for analyzing the data and have visual representations of the process flow. It can help to identify bottlenecks, inefficiencies, and areas where the process needs to be improved.

Improvement opportunity:

It may involve redesigning the process to eliminate bottlenecks or reduce the required steps. It may also affect the implementation of new technologies to automate or streamline the process.

Implement changes:

Implement the changes identified after the process mining analysis. It will include changes in design, technologies, and structure.

After successful implementation monitor and measure results:

  • Monitor and calculate the outcome of the process. 
  • Track performance using process mining tools. 
  • Identify other improvement areas.  

Process Mining advantages that give your organization a boost and operational efficiency at a broad level.

  • Identify high-value automation opportunities. 
  • Provide compliance assurance. 
  • Cost saving. 
  • Provide continuous improvement opportunities for an organization. 
  • Reduces risks and inefficiency. 
  • Increase transparency by making a visual representation that makes everything easy to understand. 
  • Fact-based insight and a single source of truth. 

Conclusion:

An organization must transform from a traditional to a new way of process discovery to achieve profitable outcomes. Process mining can prove a precious tool for an organization that gives continuous improvement, improved performance, and optimistic results.