top of page

Process Mining: Evolving Towards an Object-Centric Approach (OCPM)

Updated: May 17

In the digital age, where information flows at a dizzying pace and efficiency is a key factor for success, companies face the challenge of optimizing their processes to remain competitive. In this context, process mining has become a fundamental tool for deciphering the complex network of activities that make up the internal workings of organizations.


Process mining is a discipline that uses data analysis techniques to discover, analyze, and improve business processes. Its main objective is to identify inefficiencies, bottlenecks, and areas for improvement to optimize performance and efficiency.


Two main approaches are competing for leadership in this field:


  • Case-Centric Process Mining: The traditional method that analyzes the flow of activities from individual cases.

  • Object-Centric Process Mining (OCPM): An innovative alternative that adopts a holistic perspective, analyzing processes from the perspective of the objects involved.

 

Detailed Comparative Table:

Aspect

Case-Centric Process Mining

Object-Centric Process Mining (OCPM)

Approach

Individual analysis of cases, such as a purchase order or a service request.

Analysis of objects and their relationships, such as customers, products, orders, or resources.

Vision

Limited to the specific case, without considering the interaction between different cases.

Holistic, considering the interaction between different objects and how it impacts the entire process.

Flexibility

Less adaptable to changes in processes, as the analysis is based on specific cases.

Flexible and adaptable to different scenarios and changes in processes over time.

Analysis

Granularity is limited to the individual case, making it difficult to identify inefficiencies at the macro level.

More precise and granular analysis by focusing on individual objects and their relationships.

Decision Making

Less precise information, based on specific cases, can lead to suboptimal decisions.

Precise and actionable information, allows for more informed and strategic decision-making.

Application Examples

- Analysis of an individual purchase order. - Tracking a specific service request.

- Customer lifecycle analysis. - Supply chain optimization. - Analysis of production processes. - Risk management improvement.





Additional Benefits of Object-Centric Process Mining:

  • Improves operational efficiency: It allows you to identify and eliminate bottlenecks, redundancies, and other inefficiencies in processes.

  • Reduces costs: By optimizing processes, the time and resources needed to complete tasks are reduced.

  • Improves customer satisfaction: By identifying and solving pain points in processes that impact the customer, the customer experience is improved and loyalty is increased.

  • Increases profitability: Optimizing processes, reducing costs, and improving customer satisfaction translate into increased profitability for the company.




In summary, object-centric process mining represents a significant advance in process analysis. Its holistic approach, flexibility, ability to provide accurate and actionable information, and its additional benefits make it an invaluable tool for companies looking to optimize their efficiency, make strategic decisions, and achieve success.


At Ofi Services, you can learn more about OCPM and other hyper-automation services that will allow you to scale your organization to unimaginable levels. We look forward to hearing from you here!



Comments


bottom of page