Many education institutions rely on the cloud to run online learning platforms, store student data, and support research. But as usage grows, so do costs, often without visibility or control.
This case study explains how a leading education group used an AI-powered multi-cloud cost calculator to analyze and optimize spending across AWS, Azure, and Google Cloud.
By automating their cloud resource inventory and cost reports, the group achieved 38% savings within a single quarter without disrupting performance or student services.
Background
The client, a group of private universities with campuses across India, relied on three major cloud platforms: AWS, Microsoft Azure, and Google Cloud for their IT operations.
Their setup included:
- A student information system hosted on AWS
- Learning management systems on Azure
- Research data storage and AI workloads on Google Cloud Platform
While multi-cloud use provided flexibility, it made cost tracking and budget forecasting difficult. Each platform had different pricing models and cost structures, leading to overspending and inconsistent reporting.
The Challenge
The IT finance team faced several pain points:
- Unclear cost comparison between AWS, Azure, and GCP
- Manual report creation for budgeting and procurement
- Outdated pricing data leading to inaccurate forecasts
- Limited visibility into underutilized or idle resources
They needed a single platform to bring all cloud data together, analyze costs, and recommend optimizations automatically.
The Solution
The education group adopted Teleglobal’s AI-Driven Multi-Cloud Cost Calculator, a smart tool that:
- Analyzes multi-cloud usage data in real time
- Compares pricing across AWS, Azure, and Google Cloud
- Generates accurate, downloadable cost and usage reports
- Suggests optimization opportunities for better budgeting
Step-by-Step Implementation
- Inventory Upload: The IT team exported their cloud inventory data from AWS, Azure, and GCP into Excel.
- AI Validation: The tool automatically verified and matched resources to the correct pricing tiers.
- Report Generation: Within minutes, the AI produced detailed cost reports showing usage patterns, duplicate instances, and optimization opportunities.
- Actionable Insights: The finance team used these insights to adjust instance types, remove idle resources, and adopt cost-saving pricing models.
Results
Within the first three months of using the multi-cloud cost calculator, the university group achieved measurable results:
| Metric | Before | After | Improvement |
| Monthly Cloud Spend | ₹42.6 Lakh | ₹26.3 Lakh | 38% reduction |
| Report Preparation Time | 3 days | < 30 minutes | 90% faster |
| Pricing Accuracy | 72% | 99.8% | +27.8% |
| Visibility Across Clouds | Limited | Unified Dashboard | Full insight |
These improvements allowed the finance team to forecast budgets accurately, the IT team to allocate resources efficiently, and management to make faster procurement decisions.
Key Benefits Observed
- Unified View: Centralized dashboard for AWS, Azure, and Google Cloud pricing.
- AI Accuracy: Automatically validates every data point before report generation.
- Faster Decisions: Reports generated in minutes instead of days.
- Cost Transparency: Real-time view of spending across departments.
- Ongoing Optimization: Continuous tracking with live pricing updates.
Conclusion
Moving to the cloud is inevitable for education, but managing it wisely is critical. By integrating an AI-driven multi-cloud cost calculator, the university achieved transparency, speed, and significant cost savings, all without disrupting student or faculty services.
If your educational organization faces similar challenges, explore Teleglobal’s Multi-Cloud Cost Calculator to simplify cloud cost management and drive smarter decisions.