THE NEED FOR CHANGE
Containing rapidly rising cloud costs without disrupting analytics
A global athletic apparel company known for analytics teams. its performance products for yoga, running, training, and other active lifestyles, identified a sharp rise in cloud data platform
consumption in May 2025. The reasons included:
- Inefficient query execution
- Suboptimal warehouse sizing
- Idle compute resources
- Retention of obsolete or unused data
- Limited compute monitoring
Without intervention, this would have created nearly $1 million in unplanned infrastructure costs while putting pressure on the company’s ability to scale its analytics environment responsibly.
The business needed a structured cost optimization strategy that could reduce waste, improve financial control, and preserve platform performance for data and analytics teams.
ARCHITECTING THE TRANSFORMATION
A structured optimization program focused on performance, efficiency, and governance
We analyzed warehouse usage patterns, right-sized compute resources, and introduced auto-suspend and auto-resume policies to reduce idle consumption. Inefficient queries were identified and tuned to lower compute usage while improving processing performance. We removed unused and redundant workloads and purged obsolete data. We also optimized time travel and data retention settings to better align storage usage with business needs.
To strengthen long-term control, we implemented proactive monitoring and governance mechanisms to improve cost transparency and reduce the likelihood of unexpected spikes.
THE IMPACT
Better performance, lower waste, stronger control
Improved workload
efficiency
Cost governance and
monitoring
Data storage optimization and infra waste reduction
Established better ways
of working
