The Cost Analysis dashboard provides an executive and operational view of estimated post-quantum cryptography migration costs. The dashboard summarizes total upgrade cost, labor effort, affected assets, cost components, operating-system upgrade estimates, risk-tier cost exposure, and application-family upgrade priorities.
Operational guidance: Start with the executive cost summary to understand total financial and labor impact. Then compare operating-system and application-family costs to identify the largest migration drivers. Use the priority and detail tables to determine which upgrade groups should be addressed first.
Panels
| Panel | Type | What It Shows |
|---|---|---|
| Total Upgrade Cost | Single value | Estimated total cost of the PQC migration work represented by the filtered data. |
| Total Labor Hours | Single value | Estimated labor effort required for the identified upgrade population. |
| Assets Requiring Upgrade | Single value | Number of distinct assets included in the upgrade estimate. |
| Labor Cost | Single value | Estimated labor portion of the total migration cost. |
| Hardware Cost | Single value | Estimated hardware portion of the migration cost. |
| License / Software Cost | Single value | Estimated licensing and software portion of the migration cost. |
| Total Cost by OS Category | Table | Operating-system upgrade costs, labor, hardware, licensing, readiness tier, and relative contribution to total cost. |
| Relative Upgrade Cost | Stacked bar chart | Each operating-system category's percentage of total OS upgrade cost. |
| Upgrade Cost by Risk Tier | Stacked bar chart | Upgrade items grouped by readiness tier to show where cost is concentrated across legacy, classical, modern, and PQC-ready populations. |
| Cost Composition by App Family | Stacked bar chart | Top application families broken down by labor, license, and hardware cost. |
| Priority Matrix | Table | Application families compared by readiness tier, instance count, and estimated cost. |
| App Family Cost Detail | Table | Application-family readiness tiers, affected instances, and total estimated cost. |
Key Data Fields
| Field | Description |
|---|---|
| quantum.cost.usd | Total estimated upgrade cost. |
| quantum.hours | Estimated labor hours. |
| quantum.labor_cost.usd | Estimated labor cost. |
| quantum.hardware_cost.usd | Estimated hardware cost. |
| quantum.license_cost.usd | Estimated license and software cost. |
| host.os_category | Operating-system category used for OS upgrade analysis. |
| quantum.application_family | Application family used for application upgrade analysis. |
| quantum.readiness_tier / quantum.instances / host_id | Readiness tier, affected instance count, and asset identifier used throughout the cost views. |
Reading the Dashboard
Review the executive summary first
Start with overall cost, labor, and asset scope before drilling into upgrade categories.
Examine operating-system cost detail
Use the OS views to find the largest migration drivers and their relative contribution.
Review cost by risk tier
This helps identify expensive legacy or classical populations that may deserve earlier planning.
Use app-family priority views for sequencing
The application-family charts and tables help prioritize modernization activity.
Filtering and Implementation Notes
Use the Time Range and Upgrade Category controls to focus the analysis. Upgrade Category can display all upgrades, operating-system upgrades, or application-family upgrades, and defaults to All.
All cost values are estimates based on the records available for the selected time range.