Process mining is a field of computer science that involves analyzing event data recorded by information systems to discover, monitor and optimize business processes within an organization. It helps to uncover valuable insights and drive continuous improvement, with the objective of turning the analyzed data into actions that lead to greater efficiencies.
Its increasing adoption of across different industries such as manufacturing, healthcare, finance, energy and supply chain management means there is a growing demand for skilled process mining professionals.
Roles vary in different organizations depending on their size and industry, but here we outline some of the most typical job positions, along with the skills and training needed to do them.
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Process mining analyst
Sometimes referred to as process mining consultants, these professionals are responsible for conducting analyses using a variety of metrics and analytics tools, interpreting results and then feeding back insights and recommendations to stakeholders to help them improve their processes.
They work closely with clients to understand business requirements and objectives. Analysts might also be involved in defining the KPIs that measure success and providing training.
Training and skills: You will need to be proficient using data visualization tools and software such as ProM, Disco or similar platforms. You should also be familiar with process modelling languages like Business Process Model and Notation (BPMN). Programming skills are needed for data manipulation and developing custom solutions, using Python, R, SQL or Java. Additionally, knowledge of methodologies like Lean and Agile are useful.
Where to learn: Wil van der Aalst, credited as the person who first introduced process mining, teaches an online course covering key analysis techniques via Coursera through Eindhoven University of Technology.
Software company Celonis also has a range of courses including this one to the fundamentals of process mining.
Process mining engineer
Process mining engineers are responsible for building and maintaining the data models and dashboards needed to carry out analysis. They develop software tools, design algorithms and continually validate these in line with the needs of the business.
Training and skills: A highly technical role, process mining engineers work with tools such as Python, SQL and Azure DevOps on a daily basis. You will need a deep understanding of business process management (BPM) frameworks, database management systems and machine learning techniques.
Where to learn: Check out the courses offered by Celonis. Udemy has an online course on data structure and how to analyze and develop algorithms.
Data scientist
Data scientists are in high demand, and this is predicted to grow by 36 percent by 2031. Data scientists in process mining focus on applying advanced statistical and machine learning techniques to analyze process data and extract valuable insights. They build visualizations and use modelling techniques on a variety of data to forecast process behavior, or to identify patterns and anomalies and communicate them to engineering teams.
Training and skills: You will need to be proficient with data analytics tools, machine learning techniques and predictive modelling.
Where to learn: You will typically need a degree in a computer science, mathematical or science-based subject, however Harvard University is a good place to start as it has a good selection of free courses on different aspects of data science.
Process mining project manager
As well as having thorough knowledge of the tools and software required for data analytics and process mining, project managers need experience in management and/or IT consulting, to be able to work with operations and senior management to understand client needs, and lead engineering teams to deliver on them.
Project managers are responsible for defining a project’s scope, managing resources, coordinating tasks and ensuring deliverables are met within budget and timeline constraints.
Training and skills: Qualifications in computer science or business, some programming skills and knowledge of data analytics. You might also need experience of change management to be able to lead teams through any changes that come out of the process mining project.
Where to learn: There are courses in specific project management methodologies like PRINCE2 and Agile from foundation-level all the way up to a master’s degree. Check out APGM International, PRINCE2 and the Project Management Institute.
PEX Network's All Access Process Mining and Process Intelligence webinar series features experts sharing their insights into advancing continuous improvement and business transformation through process mining projects.
Academic/researcher
Process mining has its origins in academia. It emerged as a research field at Eindhoven University of Technology in the Netherlands and RWTH Aachen University in Germany, largely thanks to research by Wil van der Aalst.
While it is now an established technology, it is still a research topic, advanced by academics studying theoretical developments and algorithmic innovations. Academics research and write papers presenting their findings, teach graduate courses and share knowledge at conferences, workshops and in other collaborative projects.
Training and skills: You will need to pursue graduate education such as a master's and/or a doctoral (Ph.D.) degree in a field related to process mining, as well as take part in research, gain teaching experience and build a network of contacts in academia.
Where to learn: Numerous universities around the world offer master’s and doctoral degrees. Take a look at the courses at Eindhoven University of Technology, RWTH Aachen University, University of Padua and University of Sydney.