An investigation of discovering business processes from operational databases
Mai, Tai TanORCID: 0000-0001-6657-0872, Helfert, MarkusORCID: 0000-0001-6546-6408 and Pham, Thoa
(2019)
An investigation of discovering business processes from operational databases.
In: 24th UK Academy for Information Systems (UKAIS) International Conference, 9-10 June 2019, Oxford, The UK.
ISBN 978-0-9560272-3-8
Process discovery techniques aim to discover process models from event-logs. An event-log records
process activity carried out on related data items and the timestamp where the event occurred. While
the event-log is explicitly recorded in the process-awareness information systems such as modern ERP
and CRM systems, other in-house information systems may not record event-log, but an operational
database. This raises the need to develop process discovery solutions from operational databases.
Meanwhile, process models can be represented from various perspectives, e.g. functional, behavioural,
organisational, informational and business context perspectives. However, none of the existing
techniques supports to discover process models from different perspectives using operational databases.
This paper aims to deal with these gaps by proposing process expressive artefacts based on process
perspectives adopted in the literature, as well as discussing how these artefacts can be extracted from
data components of a typical operational database
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Process Mining;Process Perspectives; Expressive Artefacts; Business
Process Management