Impact & Case Studies
Turning data into action across LUMS
Our dashboards don’t just visualize data—they solve real problems. Here's how different schools and departments at LUMS have used data analytics to make informed decisions, improve processes, and plan for the future.
1. Optimizing Course Allocation – SBASSE
Challenge: Faculty needed a better way to anticipate course demand and plan teaching loads.
Solution: Using the Academic Stats Dashboard, SBASSE identified enrollment surges in specific elective courses across batches.
Impact:
- Optimized course section planning
- Improved student-to-faculty ratios
- Balanced faculty workloads across terms
2. Strategic Hiring Decisions – SOE
Challenge: SOE leadership required accurate data on faculty designations and department-level staffing needs.
Solution: The Faculty Dashboard provided a breakdown of designation types and years of experience across departments.
Impact:
- Supported data-informed hiring proposals
- Helped justify new faculty lines
- Improved long-term resource planning
3. Scholarship Budgeting – Finance Office
Challenge: Unclear patterns in scholarship allocation were making it hard to plan budgets effectively.
Solution: The Financial Dashboard helped visualize UG vs. Grad scholarship trends over time.
Impact:
- Enabled data-driven scholarship distribution
- Improved transparency in budgeting
- Highlighted need-based vs. merit-based trends
4. Evaluation Coverage – Registrar + Schools
Challenge:Low evaluation response rates were undermining teaching quality analysis.
Solution:Evaluation Dashboard tracked response rates by school, batch, and course.
Impact:
- Identified gaps in feedback collection
- Prompted faculty to improve student engagement
- Contributed to performance improvement processes
What Makes Our Dashboards Effective?
- Built on verified data
- Tailored to LUMS' internal structures
- Co-created with stakeholders
- Visual, interactive, and updated regularly
Have a Success Story?
We’re always eager to hear how data has helped you. Share your use case or request a spotlight feature on this page. Just write us at: data.analytics@lums.edu.pk