Dashboard
Overview of your Snowflake optimization opportunities
Annual Spend
$1.8M
Transformation Compute
Savings Identified
$1.04M+58%
Across all optimizations
Optimization Score
34/100
Room for improvement
Time to ROI
3.2 months
At current implementation pace
Savings Breakdown
Click on any bar to explore that optimization category
Total Identified Savings$1.04M
Quick Actions
Recent Activity
Identified 23 zombie clustering keys
2 hours ago
Converted dim_customer to Dynamic Table
Yesterday
Warehouse TRANSFORM_WH downsized to LARGE
2 days ago
Cost spike detected on DBT_PROD_WH
3 days ago
Enabled auto-suspend on 12 warehouses
4 days ago
Optimization Levers
In Progress
Dynamic Tables
40-60% savings potential
156 candidates
In Progress
Incremental dbt
30-50% savings potential
89 candidates
Not Started
Streams + Tasks
20-30% savings potential
34 candidates
Not Started
Iceberg Tables
50-70% savings potential
12 candidates
Not Started
Hybrid Tables
Variable savings potential
8 candidates
Complete
Warehouse Tuning
15-25% savings potential
24 candidates
Not Started
Serverless Tasks
10-20% savings potential
45 candidates
Implementation Roadmap
1
Quick Wins2-4 weeks2
Architecture6-8 weeks3
Lakehouse + AI8-12 weeks- Resize TRANSFORM_WH to LARGE
- Enable auto-suspend on all warehouses
- Convert top 5 dbt models to incremental
- Remove zombie clustering keys
- Optimize top 10 expensive queries