From data analysis to decision-making in major projects
Major projects cannot be managed by intuition alone.
Educational campuses, healthcare complexes, urban plans and mixed-use projects contain a large number of variables.
Why is data important?
Because major projects typically involve:
- Large budgets.
- Complex schedules.
- Many stakeholders.
- Interconnected services.
- Large numbers of users.
- Multiple operational and construction risks.
Data analysis helps to:
- Reduce risks.
- Improve resource allocation.
- Anticipate problems.
- Improve planning.
- Make decisions based on real information.
1. Geographic information systems (GIS)
GIS is used to study:
- The site.
- Density.
- Land.
- Roads.
- Services.
- Traffic movement.
- Infrastructure.
- The surrounding environment.
This data supports planning and urban land-use decisions.
2. Building information modeling (BIM)
BIM brings together information that is:
- Architectural.
- Structural.
- Mechanical.
- Electrical.
- Operational.
Within a unified model.
It helps detect clashes before work reaches the site.
3. Scenario analysis
Several project scenarios can be compared in terms of:
- Cost.
- Power.
- Movement.
- Use.
- Schedule.
This makes it possible to select the most efficient solution.
4. Dashboards
Dashboards help management track:
- Completion rates.
- Costs.
- Risks.
- Changes.
- Delays.
Quickly and continuously.
5. Predictive data
When sufficient data is available, it can reveal trends that may indicate:
- Potential delays.
- Cost increases.
- Pressure on resources.
- Declining performance.
Conclusion
The real value of data lies not in collecting it, but in turning it into decisions.
The more accurate and organised the data, the better planning can respond to the complexity of major projects.
