The document outlines a case study on the progress and cost monitoring process for the Barwa Commercial Avenue project, which covers 8.5 km and consists of 912,000 m2 and 18,500 rooms. It discusses the project's key facts, data handling, monitoring processes, and visualization techniques to track performance and activities. The conclusion synthesizes the findings from data processing and monitoring throughout the project's life cycle.

1. Armin Krimpmann
1

2. Progress and Cost Monitoring Process
Case Study: BARWA Commercial Avenue
1. Project Key Facts
2. Data Processing Concept
3. Monitoring Process
4. Visualization
5. Conclusion
2
Armin Krimpmann
2

3. Barwa Commercial Avenue
8.5 km long
912,000 m2
18,500 rooms
Schedule has
30,000 activities
• BOQ for the
finishing works has
600,000 entries
•
•
•
•
Project Key Facts
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
3

4. Data Handling
Client
Subcontractor
PM/CM
Data
Project
Project Key Facts
Other
Stakeholders
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
4

5. Data Processing
Project Key Facts
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
5

6. 3.
Data Flow
Bill of
Quantity
Room
Quantities
Project Key Facts
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
6

7. Weekly Progress Monitoring Finishing
BIS
GIS
Project Key Facts
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
7

8. Payment / Cost Loading
Project Key Facts
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
8

9. Performance Values
Project Key Facts
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
9

10. Quantities
Project Key Facts
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
10

11. Quantities assigned to Activities
Project Key Facts
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
11

12. Quantities over Time
Project Key Facts
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
12

13. Visualization
Project Key Facts
Data Process Concept
Monitoring
Visualization
Conclusion
Armin Krimpmann
13

14. Conclusion
Armin Krimpmann
14