Polish Process Mining Day 2023
How to use modern data analysis technologies to optimize and better understand processes in the company?
Polish Process Mining Day 2023 is a unique event in Poland focused 100% on process mining technologies.
24th May 2023
Agenda
10:00-10:05
Event Opening
10:05-10:20
Introduction to process mining
Process Mining analytics is a still a novelty for many people. For this reason I will present a short introduction of Process Mining and its concepts to the audience. The focus will be on how Process Mining works and the potential benefits to the organisation.
CEO, Co-Founder of 10 Senses
10:20-11:00
KEYNOTE: Process Mining for Unstructured Data
Process mining allows discovering bottlenecks in processes and revealing the deviations between real-life processes and to-be one. Process mining usually focuses on processing discrete event data, typically at the business level. The increasing volume of data demands techniques that can identify cause-effects in other types of data that originate at lower levels of the data stack. The first part of my talk outlines new fields of application for process mining and summarizes requirements for new process mining techniques. The second part of my talk shows implementations of the processing of various data types from unstructured data to processes and to AR visualization.
Professor of Business Informatics at the University of Bayreuth
11:00-11:25
Polish BPM and Process Mining community
Poland is home to many active Process Mining and Business Process Management (BPM) professionals. However, the community as a whole does not receive sufficient visibility. That’s why, during my upcoming lecture, I will provide information about the scientific community, including recent and upcoming events, and highlight some interesting projects. I will also showcase our current projects at AGH Data & Process Mining Group, many of which are focused on Industry 4.0 topics.
University Professor, AGH University of Science and Technology
11:25-11:50
Process Mining in the Underground Coal Mine
The speech will present the most interesting results of the work included in the PhD “Analyzing mining process based on event data”. Thesis presents developed the analytic method enabling the modelling and analysis of longwall mining process based on event logs. In addition, the experiences and challenges of applying Process Mining in heavy industry will be presented.
Data Scientist in Macrix
11:50-12:00
Coffee Break
12:00-12:25
HEINEKEN’s journey with process mining driven by CoE
A brief overview of the journey HEINEKEN global company is on with process mining, with PM Centre of Excellence Team in the driver’s seat. It is a first-hand sharing experience on implementing process mining in the organization and making it stick, by maintain the right focus on company’s goals, building the active community of users, enabling them to mine for insights and realize value and to sustain process mining in the business as usual process excellence approach.
Global Process Mining Expert CoE
12:25-12:50
Process Mining: From Asking Questions to Generating Value
Process Mining gives unique visibility into the process. Discover how the X-Ray of your process can help in identifying various hidden improvement opportunities and eliminate or reduce the issues. These inefficiencies are lurking in your processes, silently killing their performance. But on the other hand, this is not a solution that singlehandedly and miraculously can solve all the challenges. In our company we use process mining in conjunction with other tools and methods to generate the best possible outcome. This presentation aims to show our lessons learned when it comes to process mining.
Process Mining Specialist at Zimmer Biomet
12:50-13:15
Do we really need to use process mining to have our processes optimized?
We are now witnessing significant growth in the process mining market, more and more companies are using PM to optimize their processes, the vendor market is growing. On the other hand the question is: does it really work? How does PM work? What results do we have in our organizations? Can we obtain millions of PLN/EUR/USD in profits? What is the real use of PM in organizations? How do we create a “PM ecosystem” so that it pays off?
IT Team Lead at mBank
13:15-13:40
Process Mining: How to set up a project and prepare the data?
I will present an overview of the key steps involved in initiating and executing a successful process mining project. The focus will be on the critical components of project setup, including its schedule, and data preparation for process mining, which entails data selection, cleaning, and transformation. Additionally, I will share insights into best practices that we have learned from our experience with process mining projects.
CTO, Co-Founder of 10 Senses
13:40-13:45
Event Closing
Speakers
CEO, Co-Founder of 10 Senses
Co-founder and CEO of 10 Senses, a company providing services in the area of data science, machine learning and process mining. He holds a Phd degree in Economics from Warsaw School of Economics, and an MA degree in Sociology from Jagiellonian University in Kraków. Prior to founding 10 Senses, Łukasz worked as a consultant at EY Business Advisory (former Ernst and Young). Overall, he has over 10 years of experience in data science and data focused projects in market research and consulting companies. Łukasz is the author of several publications on the application of AI in the Polish economy published in Digital Poland Foundation.
Professor of Business Informatics at the University of Bayreuth
Agnes Koschmider is Full Professor of Business Informatics at the University of Bayreuth and has a leading position in the Business Informatics branch of the Fraunhofer FIT. From 2019 to 2022 Agnes Koschmider was professor of business informatics at the Computer Science Institute of the University of Kiel. She completed her PhD in 2007 and her habilitation in Applied Informatics in 2015 at the Karlsruher Institute of Technology (KIT). She researches on methods for data-driven analysis and explanation of processes (process mining), based on artificial intelligence. At the center of her research is process analytics: developing a pipeline to efficiently process the complete chain from unstructured data (time series, sensor event data, and video data) to process discovery. The applications of such a data pipelines can be found in many disciplines such as medicine, agricultural sciences, geology, geography, material sciences or marine sciences.
Edyta Brzychczy
University Professor, AGH University of Science and Technology in Cracow
A graduate with honors from the Mining Faculty of the AGH University of Krakow. Currently employed at the Department of Robotics and Mechatronics at the Faculty of Mechanical Engineering and Robotics. Author and co-author of over 100 publications, mainly in the field of production modeling and optimization, data mining and process mining. Head and co-investigator of international projects, including data and process analysis. Founder of the Data & Process Mining Group. Member of the Polish Association of Artificial Intelligence (PSSI) and the Polish Society of Production Management (PTZP).
Data Scientist w Macrix
Agnieszka Żuber is a Data Scientist with several years of experience. She has a strong interest in projects that require advanced analytics. Fully committed to Machine Learning, Data Science, and Process Mining. Combination of academic knowledge with business practice. She obtained a Ph.D. in Production Engineering from AGH University of Science and Technology in Cracow, specializing in applying Process Mining and Data Mining based on sensor data to heavy industry.
Karolina Szczurek
Global Process Mining Expert CoE
Karolina has over 7 years working history with HEINEKEN organization, within different departments supporting finance processes. Currently a Global Process Mining Expert in the Centre of Excellence Team, providing functional support to internal customers on process mining with Celonis, responsible for building process mining competencies among the company’s stakeholders and supporting them in realizing value with process mining. Previously part of CoE Supplier Excellence Team in HGSS with whom was responsible for developing first Celonis usecases to bring value for the Purchase To Pay department. She is actively engaged as well in the initiatives around Diversity, Equity and Inclusion in the company.
Process Mining Specialist at Zimmer Biomet
Graduated from Cracow School of Economics. 10 years of business experience in various roles and functions in big FMCG company. Especially interested in joining together the business and IT aspects of the processes. Practical experience in GBS core processes like Accounts Payable, Accounts Receivable, Order to Cash, Logistics & Procurement. For more than 2 years involved in Process Mining, currently acting as Process Mining Lead at Medical Device company, responsible for both technical implementation as well as business adoption.
IT Team Lead at mBank
We have been using PM at mBank for more than 3 years. I am responsible for its implementation and use in the organization. I lead the business process optimization team. I am a graduate of economics at the University of Warsaw and data science at the Warsaw University of Technology.
CTO, Co-Founder of 10 Senses
Co-founder of 10 Senses, a company that offers advanced analytics products and services, including AI and process mining. Has over 10 years of experience working with data-related problems, such as data science, machine learning, artificial intelligence, and process mining. Marek specializes in Data Engineering for data visualization, ML/AI and process analytics. Has also worked on using GPUs to support computational performance. He happily shares his knowledge and experience with the market during conferences, meetings, and training sessions. He has a background in Solid State Physics and is a specialist in Data Warehousing and BI, and by hobby he is a statistical physicist.
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