• processmining
• datalineage
• spark
• spline
• conformancechecking

Nowadays it is not enough to have data to generate business value, it
is also necessary to organize it in order to make the most of it and having
good quality data allows to trust the data being used ensuring better
business decisions. Therefore this thesis work will focus firstly on the
development of a data lineage service in the context of a data catalog, i.e
an organized inventory of data assets, identifying data movement across
the enterprise with the purpose of providing support to data governance in
terms of data validation, data usage control, regulatory compliance, and
data privacy. Finally, process mining techniques will be applied to verify
that the processes to which the data are exposed are compliant and with internal regulations and observe the expected sequence of operations. This will be done by using conformance checking techiniques, which allow a process model to be compared with event logs of the same process.