Tuesday, 31 August 2021, 9.00am to Tuesday, 28 September 2021, 6.00pm
Course introduction
Process Mining has revolutionized the way we analyze and optimize processes in business. Performance Problems traditionally caused long-winded manual investigations into the underlying business process looking at interview data, observations or deciphering process documentations. All of these traditional methods are time and cost consuming and only provide fractional insights. Process Mining uses a data-science approach to process science making analyses more objective, detailed and faster to obtain.
The Trinity Challenge has announced the winners of its inaugural competition, and is investing a £5.7 million (US$8 million) charitable pledged prize fund into one grand prize winner, two 2nd prize winners, and five 3rd prize winners.
About us
The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.
Supports and connects the growing data science research community
Builds research capacity in data science to tackle complex issues
Drives new research challenges through collaborative research projects
Promotes and provides opportunities for knowledge transfer
Identifies and provides training courses for students, academics, industry and the third sector
Cambridge Centre for 
