  Background. The Drug Discovery Unit (DDU) of Cancer Research UK (CRUK) is
using the software Dotmatics for storage and analysis of scientific data during
drug discovery process. Whilst the data include event logs, time stamps,
activities, and user information are mostly sitting in the database without
fully utilising their potential value. Aims. This dissertation aims at
extracting knowledge from event logs data which recorded during drug discovery
process, to capture the operational business process of the DDU of Cancer
Research UK (CRUK) as it was being executed. It provides the evaluations and
methodologies of drawing the process mining panoramic models for the drug
discovery process. Thus by enabling the DDU to maximise its efficiency in
reviewing its resources and works allocations, patients will benefit from more
new treatments faster. Conclusion. Management of organisations can be benefit
from the process mining methodologies. Disco is excellent for non-experts on
management purposes. ProM is great for expert on research purposes. However,
the process mining is not once and for all but is a regular operation
management process. Indeed, event logs needs to be understand more on the
target organisational behaviours and organisational business process. The
researchers have to be aware that event logs data are the most important and
priority elements in process mining.
