--- title: "Use cases" slug: "cost-analyzer-use-cases" updated: 2026-10-30T08:37:24Z published: 2026-10-30T08:37:24Z canonical: "docs.turbo360.com/cost-analyzer-use-cases" --- > ## Documentation Index > Fetch the complete documentation index at: https://docs.turbo360.com/llms.txt > Use this file to discover all available pages before exploring further. # Use cases ## Overview Cost Analyzer supports a wide range of cloud financial management scenarios, from day-to-day spending visibility to automated optimization. This article describes the most common use cases across teams and roles. ### Business value - Understand which Cost Analyzer capabilities apply to your role and responsibilities - Identify the right features to address your specific cost management challenges - Accelerate time-to-value by mapping your scenarios to built-in functionality ## How it works Cost Analyzer is used across five primary use cases, each mapping to a core section of the module. ### 1. Tracking and understanding Azure spending ![cost-analyzer-use-case-1-tracking-azure-spending.png](https://cdn.document360.io/a21734f9-5f67-4835-bb81-a488f8191fa8/Images/Documentation/cost-analyzer-use-case-1-tracking-azure-spending.png) **Who it's for:** Finance teams, cloud administrators, engineering managers Organizations use the **Analysis** section to break down Azure spending across subscriptions, resource groups, resource types, services, locations, and tags. Cost groups allow teams to scope views to their specific area (a department, a team, or a customer) and share a consistent view of costs across stakeholders. Key scenarios: - **Monthly cost review:** compare spending month-over-month to identify trends and anomalies - **Cross-subscription analysis:** aggregate and compare costs across multiple Azure subscriptions in a single view - **Tag-based cost allocation:** group spending by Azure tags to track costs per project, team, or business unit - **Forecasting:** estimate future spend based on current usage patterns to support budget planning ### 2. Monitoring budgets and detecting anomalies ![cost-analyzer-use-case-2-budgets-and-anomalies.png](https://cdn.document360.io/a21734f9-5f67-4835-bb81-a488f8191fa8/Images/Documentation/cost-analyzer-use-case-2-budgets-and-anomalies.png) **Who it's for:** Cloud administrators, FinOps practitioners, team leads The **Monitoring** section enables teams to set spending limits and receive proactive alerts before budgets are exceeded. Anomaly detection runs as a background service, automatically flagging unusual cost spikes without manual intervention. Key scenarios: - **Budget enforcement:** define spending limits per cost group or subscription and receive alerts when thresholds are approached or exceeded - **Anomaly detection:** automatically detect and investigate unexpected cost spikes before they escalate - **Escalation management:** route alerts to the right people at the right time using escalation policies - **Group budget monitoring:** track spending across multiple resource groups or teams under a shared budget ### 3. Reducing costs through optimization ![cost-analyzer-use-case-3-cost-optimization.png](https://cdn.document360.io/a21734f9-5f67-4835-bb81-a488f8191fa8/Images/Documentation/cost-analyzer-use-case-3-cost-optimization.png) **Who it's for:** Cloud engineers, infrastructure teams, FinOps practitioners The **Optimization** section provides recommendations and automation tools to reduce Azure spend without impacting workload performance. Key scenarios: - **Rightsizing:** identify over-provisioned virtual machines and apply recommended SKU changes to reduce compute costs - **Reservation guidance:** act on one-year and three-year reservation recommendations to reduce long-term committed spend - **Schedule automation:** shut down VMs and other resources during off-peak hours using automated schedules to eliminate idle spend - **Workflow automation:** execute repeatable cost-reduction tasks such as stopping VMs, terminating idle AVD sessions, and purging unused storage blobs - **Savings plans optimization:** review savings plan utilization and identify gaps in committed spend coverage - **Azure Hybrid Benefits:** identify resources eligible for Hybrid Benefits and track where the benefit has already been applied - **Spot instance visibility:** compare Spot VM costs against equivalent on-demand pricing to quantify savings - **Idle resource cleanup:** surface idle and underutilized resources across subscriptions and act on grouped recommendations ### 4. Reporting for governance and stakeholders ![cost-analyzer-use-case-4-reporting-for-governance.png](https://cdn.document360.io/a21734f9-5f67-4835-bb81-a488f8191fa8/Images/Documentation/cost-analyzer-use-case-4-reporting-for-governance.png) **Who it's for:** Finance teams, cloud administrators, engineering leaders, compliance teams The **Reports** section provides configurable, shareable reports that support internal governance processes and external financial reviews. Key scenarios: - **Cost summary reporting:** generate monthly or quarterly cost summaries for stakeholder review - **Executive reporting:** produce high-level executive cost summaries across the organization - **Optimization progress reporting:** track the impact of cost reduction actions over time - **Scheduled report delivery:** automate report generation and distribution on a recurring schedule ### 5. AI-powered cost intelligence ![cost-analyzer-use-case-5-ai-cost-intelligence.png](https://cdn.document360.io/a21734f9-5f67-4835-bb81-a488f8191fa8/Images/Documentation/cost-analyzer-use-case-5-ai-cost-intelligence.png) **Who it's for:** Cloud engineers, FinOps practitioners The **AI agents** in Cost Analyzer's Cost Intelligence view automatically analyze individual Azure resources and surface insights across cost trends, rightsizing, reservations, hybrid benefits, carbon optimization, and more, without requiring manual investigation. Key scenarios: - **Resource cost review:** get an AI-generated summary of a resource's cost behavior and utilization - **Rightsizing analysis:** receive AI-driven rightsizing recommendations for a specific resource - **Cost spike troubleshooting:** investigate anomalous spending with AI-assisted root cause analysis - **Hybrid benefit analysis:** estimate savings from applying Azure Hybrid Benefits to eligible resources - **Carbon footprint reduction:** identify opportunities to reduce the carbon impact of Azure resources ## Related articles - [What is Cost Analyzer?](https://docs.turbo360.com/docs/what-is-cost-analyzer-1) - [Benefits](https://docs.turbo360.com/docs/cost-analyzer-benefits) - [Architecture](https://docs.turbo360.com/docs/cost-analyzer-architecture) - [Quick Start](https://docs.turbo360.com/docs/cost-analyzer-quick-start) - [Cost analysis](https://docs.turbo360.com/docs/cost-analysis) - [Cost monitors](https://docs.turbo360.com/docs/cost-monitors) - [Cost optimization](https://docs.turbo360.com/docs/cost-optimization) - [Reports in Cost Analyzer](https://docs.turbo360.com/docs/reports-in-cost-analyzer)