We are excited to share with you the launch of our new course, the bupaR Masterclass.
The bupaR Masterclass is a virtual, hands-on, interactive series of 6 modules, specifically created by our team, to learn how the master process analytics with bupaR. All the way from building your event log to conducting complex, multi-perspective analyses, this class will show you how you can leverage bupaR for your process analysis. Designed for a limited group of participants, this intensive and interactive course will train you to write process analysis scripts, by using state-of-the-art tools for real-time code collaboration. Creator of bupaR, Gert Janssenswillen, will be the instructor guiding you on this journey through the amazing world of process mining.
Analyse every perspective of your process
From the control-flow, over performance, to organisational aspects – bupaR gives you the flexibility you need to look at your process data from any angle you like. Custom process attributes can be included effortlessly into your analysis workflow.
bupaR is an excellent set of R packages that allows you to visualise and summarise your processes. With the help of a wide range of useful functions, you can easily analyse the activities under your processes and generate quick insights. These highly customizable functions also let you focus on the analysis itself by saving data manipulation time. As an analyst, the “process maps” and the “trace explorer” charts are two of my favourites which allows me to communicate the overall picture with the audience effectively.
Data Scientist, Aegon
With bupaR I can analyze processes at scale as they happen. This is helping me understand processes at my company in greater detail and identify areas that may be candidates for optimization. The fact that bupaR is an open source R package means I can easily replicate my analysis to monitor the impact of change. Many thanks to all who have contributed to the development and maintenance of bupaR!
Chief Data Scientist, Playpower Labs
I found bupaR by imagining an ideal R package for processing and displaying data into process maps. The packages did more than I expected them to do, with very simple code. The process diagrams have been incredibly useful at getting qualitative focused colleagues and the process users engaged with and trusting the data. It is a good resource to have when working with complex healthcare datasets and has given me a new insight into working with them.