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Bichler, Martin; Heinzl, Armin; Aalst, Wil van der - In: Business & information systems engineering : BISE ; the … 58 (2016) 2, pp. 105-106

Persistent link: https://www.econbiz.de/10011490570

Business analytics and data science : once again?

Bichler, Martin; Heinzl, Armin; Aalst, Wil van der - In: Business & information systems engineering : BISE ; the … 59 (2017) 2, pp. 77-79

Persistent link: https://www.econbiz.de/10011719694

Trans-national joint research projects : defying the odds of national inter-university competition

Heinzl, Armin; Bichler, Martin; Aalst, Wil van der - In: Business & information systems engineering : BISE ; the … 59 (2017) 4, pp. 205-206

Persistent link: https://www.econbiz.de/10011719704

Responsible data science

Aalst, Wil van der; Bichler, Martin; Heinzl, Armin - In: Business & information systems engineering : BISE ; the … 59 (2017) 5, pp. 311-313

Persistent link: https://www.econbiz.de/10011748641

Disciplinary pluralism, flagship conferences, and journal submissions

Heinzl, Armin; Bichler, Martin; Aalst, Wil van der - In: Business & information systems engineering : BISE ; the … 58 (2016) 4, pp. 243-245

Persistent link: https://www.econbiz.de/10011595238

Open research in business and information systems engineering

Aalst, Wil van der; Bichler, Martin; Heinzl, Armin - In: Business & information systems engineering : BISE ; the … 58 (2016) 6, pp. 375-379

Persistent link: https://www.econbiz.de/10011595392

Why the community should care about technology-centric journal rankings

Heinzl, Armin; Aalst, Wil van der; Bichler, Martin - In: Business & information systems engineering : BISE ; the … 60 (2018) 2, pp. 91-93

Persistent link: https://www.econbiz.de/10011873645

Views on the past, present, and future of business and information systems engineering

Aalst, Wil van der; Becker, Jörg; Bichler, Martin; … - In: Business & information systems engineering : BISE ; the … 60 (2018) 6, pp. 443-477

Persistent link: https://www.econbiz.de/10011960754

Spreadsheets for business process management

Aalst, Wil van der - In: Business Process Management Journal 24 (2018) 1, pp. 105-127

Purpose: Process mining provides a generic collection of techniques to turn event data into valuable insights, improvement ideas, predictions, and recommendations. This paper uses spreadsheets as a metaphor to introduce process mining as an essential tool for data scientists and business...

Persistent link: https://www.econbiz.de/10012066761

Business process management : don't forget to improve the process!

Aalst, Wil van der; La Rosa, Marcello; Santoro, Flávia … - In: Business & information systems engineering : BISE ; the … 58 (2016) 1, pp. 1-6

Persistent link: https://www.econbiz.de/10011497333