Q2. What are some of the techniques that process mining provides to better understand and improve business processes?
Process discovery, conformance and compliance checking, performance analysis, process monitoring and prediction, and operational support are some of the techniques that process mining provides to better understand and improve business processes.
Q3. How can the authors make the data models as flexible as possible?
in order to make them as flexible as possible, the implementation tries to be independent of the specific storage technology running underneath.
Q4. What is the way to get a better view of the performance metrics?
To have a better view on performance metrics and accurate task duration, the life-cycle attribute should be properly assigned to pair events in activity instances.
Q5. What is the main flaw of of these approaches?
The main flaw of most of these approaches resides in the way they force the representation of complex systems by means of a flat event log.
Q6. Why is the meta model structure stored in a SQLite file?
Because the meta model structure and the data inserted into it are stored in a SQLite file, it is possible to execute SQL queries in a straightforward way.
Q7. What is the main advantage of the proposed metamodel?
As demonstrated with this example, the proposed meta model is able to merge information from different systems into a single structure, enabling the analysis of process and data in a holistic way, beyond the boundaries of IT systems infrastructure.
Q8. What is the purpose of providing these tools?
The goal of providing these tools is to assist in the task of populating the proposed meta model, in order to query it in a posterior step.
Q9. What are the requirements of a meta model?
To be able to combine the data and process perspectives in a single structure, it is important to define a set of requirements that a meta model must fulfill.
Q10. What are the entities that the authors need to populate their meta model?
Table 5 shows that, in order to populate their meta model, what the authors obtain from SAP are the following entities: data model, class, attribute, object and event.
Q11. What are the sectors of the meta model?
These sectors: data models, objects, versions, events, cases and process models contain tightly related concepts and provide an abbreviated representation of the meta model.
Q12. What is the main advantage of transforming all their source information into the proposedmetamodel structure?
The main advantage of transforming all their source information into the proposedmetamodel structure is that, regardless of the origin of data, the authors can pose questions in a standard way.
Q13. How can the authors get a data model describing the structure of the original data?
Starting from this input and applying schema, primary key and foreign key discovery techniques [17,25], it is possible to obtain a data model describing the structure of the original data.