This document discusses using R for data science to analyze a case study on business processes in the Silver Economy sector. It covers preparing event log data from CSV files, performing exploratory analysis on the event log, visualizing processes and dashboards, and applying process mining techniques like process discovery and conformance checking. The case study examines a process for qualifying and assessing risk levels from alerts in a system for automatic falls detection in elderly users.

1. Abir Alaoui
https://abirismailialaoui.netlify.app/
@AbirAlaouii
Enhancing business processes
with R for data science:
A Silver Economy case study
10/03/2022

2. Who am I?
Software Engineer
PhD candidate in computer science
* Business Process Management
* Process mining
* R
* ‘Complex’ Event Processing
R-Ladies Rabat organizer

3. If interested in giving a presentation in our
next R-Ladies Rabat meet-up :
abir@rladies.org
Picture by melusineh

4. Business Process and
Business Process
Management ?

5. Business Process Management
Picture by IBM Corporation 2011.

6. Picture by Spaceo
Picture by Lucinéia
Picture by HabileTech
Picture by conga
Process

7. Process – Business Process Model and Notation (BPMN)

8. Event Log

9. Event log
• Each event log must have at least six key pieces of information:
– Case identifier,
– Activity identifier,
– Activity instance identifier,
– Transactional life cycle stage,
– Resource identifier,
– Timestamp of the event
Event data model
Picture by bupar
Event log example

10. Event logs Formats Event log sources
And more...

11. Case id
Activity
name
resource
timestamp
Other
Usefull
data
Ideal event log

12. Case id
Activity
name
resource
timestamp
Other
Usefull
data
Ideal event log

13. vs
Data in different and
complex (untidy)
FORMATS

14. vs
Pictures by Boredpanda
vs
Data in different and
complex (untidy)
FORMATS

15. Ideal event log
Tidy Data

16. Ideal event log
Tidy Data
Event log format

17. • Tidyverse : a coherent system of packages that facilitates the data analysis workflow.
• BupaR: a collection of packages used for business process analysis.

18. The Tidyverse
Picture by: EmilyRobinson

19. First Step : Tidy Data
Picture by : @jcheng
Tidy data :
- A column is a variable
- A row is an observation
- A cell is a single value
Correct date and time format
….
Missing value - NA

20. Second Step : Creating event logs
https://bupar.net/materials/20170904%20poster%20bupaR.pdf

21. Exploratory
&
Descriptive
Analysis

22. Exploratory
&
Descriptive
Analysis
Process
Visualization

23. Exploratory
&
Descriptive
Analysis
Process
Visualization
Process
Monitoring
Dashboards

24. Exploratory
&
Descriptive
Analysis
Process
Visualization
Process
Monitoring
Dashboards
Process
Mining
- Process discovery
- Conformance checking
- Performance Analysis

25. Let’s apply this !

26. Case study: Silver Economy
→ New industrial sector, launched in 2013 in France.
→ To create new services and technologies.
→ To improve disability-free life expectancy and help elderly people.
Picture by :Savoir

27. Case study: Silver Economy
Past events Now
Time
→ Video monitoring company that edits an
automatic falls detection system for elderly
people.
→ Achieve a real-time falls management for
elderly people and a quick rescue without the
intervention of the person in danger.

28. Case study: Silver Economy
Qualification and Assessment of the risk level of alerts Process

29. Creating event logs : Adjusting Event log requirements
Install the
necessary
packages

30. Creating event logs : Adjusting Event log requirements
Install the
necessary
packages
Loading these
packages

31. Creating event logs : Adjusting Event log requirements
Install the
necessary
packages
Loading these
packages
Read CSV file
into R

32. Creating event logs : Adjusting Event log requirements
Install the
necessary
packages
Loading these
packages
Read CSV file
into R
Make
necessary
adjustements

33. Creating event log : The event log object
Creating the
event log

34. Exploratory
&
Descriptive
Analysis
Process
Visualization
Process
Monitoring
Dashboards
Process
Mining
- Process discovery
- Conformance checking
- Performance Analysis

35. Exploratory and Descriptive Event log Analysis
Get a summary
about the event
log

36. Exploratory and Descriptive Event log Analysis
Get a summary
about the event
log
Get the number of
activities in the event log

37. Exploratory and Descriptive Event log Analysis
Get a summary
about the event
log
Get the number of
activities in the event log
Get number of cases in
the event log

38. Exploratory and Descriptive Event log Analysis
Get a summary
about the event
log
Get the number of
activities in the event log
Get number of cases in
the event log
Get number of traces in
the event log

39. Get further details abouts
the event log cases
Exploratory and Descriptive Event log Analysis
Tibble

40. Process Dashboards : Incident assessment process map

41. 41
Incident assessment process Visualizations

42. Process Dashboards : performance dashboard

43. 43
Process Dashboards : precendence matrix

44. Exploratory
&
Descriptive
Analysis
Process
Visualization
Process
Monitoring
Dashboards
Process
Mining
- Process discovery
- Conformance checking
- Performance Analysis

45. Data impact
Picture by bcgperspectives

46. Conclusion

47. Resources
l R for data science, Hadley Wickham , Garrett Grolemund
l https://r4ds.had.co.nz/
l https://www.tidyverse.org/
l Process Mining : Data Science in Action, Wil van der Aalst
l https://bupar.net/

48. Picture by : goodjob

49. Abir Alaoui
https://abirismailialaoui.netlify.app/
@AbirAlaouii
Enhancing business processes
with R for data science:
A Silver Economy case study
10/03/2022