Process Mining

 

 


 

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E.g., 2017-09-08
E.g., 2017-09-08
E.g., 2017-09-08
Sep 4th 2017

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

Average: 7.5 (6 votes)
Sep 4th 2017

Learn how to use the free, open source process mining framework (ProM) to analyse, visualise, and improve processes based on data. Process mining combines business process management with data science. Using process mining, you can analyse and visualise business processes based on event data recorded in event logs. For example, you could analyse how people use public transportation; verify whether a loan application is processed correctly by a bank; or predict when hardware parts are likely to fail. This online course will give you an introduction to this new and exciting field.

Average: 7 (1 vote)
Aug 7th 2017

Learn how process mining can be used to turn healthcare data into valuable insights to improve patient care while reducing costs. Within healthcare there are thousands of complex and variable processes that generate data including treatment of patients, lab results and internal logistic processes. Analysing this data is vital for improving these processes and ending bottlenecks.

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