Data Cloud Overview
The Data Cloud Overview is the central hub for organizational visibility into Snowflake cost and resource consumption across all connected accounts. This page aggregates insights into credit usage, warehouse activity, and storage metrics, enabling FinOps teams to establish baseline spending patterns, identify cost drivers, and prioritize optimization efforts at the organization level.
Overview

One or more Snowflake accounts are connected, the Data Cloud Overview dashboard populates with metrics and visualizations.
Month to date credits
This section displays the two most critical metrics for budget tracking:
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Current shows the total Snowflake credits consumed so far this billing month across all connected accounts, aggregated from each account's metadata and helps to determine where you stand relative to your monthly budget. A $10,000 budget with Snowflake's standard $4/credit pricing equates to 2,500 credits. If Current shows 1,200 credits mid-month, you're on track; if it shows 2,000 credits, acceleration is likely.
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Forecasted projects your end-of-month total based on current daily average consumption rates.
Top credit-consuming accounts
A horizontal bar chart that ranks connected Snowflake accounts by total credit consumption.
- Longer bars indicate higher credit consumption for a given account.
- Account names appear on the y-axis, credits appear on the x-axis.
- Accounts are ordered highest-to-lowest by cost.
- Clicking a bar or account label navigates to that account's Account Overview for - warehouse and query-level drill-down.
This view helps FinOps teams quickly identify which accounts should be targeted for cost investigation and optimization.
Resource Summary
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Accounts Shows the number of Snowflake accounts connected to Anavsan.
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Warehouses Monitored displays the total number of warehouses included in monitoring across all connected accounts.
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Executed Queries shows the number of queries executed across all connected accounts.
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Storage Used displays total Snowflake storage usage in terabytes (TB).
Understand the scale of your infrastructure. High query counts with moderate credit usage indicates good query efficiency. High query counts with high credit usage suggests optimization opportunities.
Credits Breakdown
Displays how total credit consumption splits between compute and storage using a pie chart.
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Warehouse shows credits consumed by compute warehouses along with a percentage indicator.
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Storage shows credits consumed by storage usage, such as retained data and micro-partitions.
Common workflows
Investigate a spending spike:
- Check Top Credit-Consuming Accounts to locate the spike.
- Click the account to navigate to Account Overview.
- Review warehouse activity and identify the long running queries.
- Assign the query to the responsible data engineer for further investigation and optimization to cut down the credit consumption .