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