FinOps Analytics – Products #
The FinOps Analytics by Products Dashboard consolidates various data to generate an executive view of consolidated costs in a single analysis dashboard. From it, you can track total consolidated costs, daily averages, monthly projections, variations compared to the previous period, and the distribution of spending by service. This approach transforms raw billing data into actionable insights, supporting decisions and increasing financial efficiency and governance.
FinOps Analytics – Tags / RGs / Labels #
The FinOps Analytics by Tags / RGs / Labels Dashboard consolidates various data to generate an executive view of consolidated costs in a single analysis dashboard. The difference lies in the option to filter costs not by product category, but by Tags. You can filter tags by both key and value, providing increasingly greater levels of detail. Filtering is performed via the right-hand sidebar menu.
Understanding FinOps Analytics Dashboards #
Consolidated Dashboard #
The consolidated dashboard provides a general overview of costs, featuring an annual and monthly comparative view. In the right-hand sidebar menu, you can apply various filters, including cost amortization, credits, and marketplace costs, if you adopt the Analytics view. By selecting “Invoice”, costs will be displayed as shown in the invoice sent by the cloud provider to the customer.
Summary Dashboard #
It provides a consolidated view of the last 12 months, as well as a daily cost view. In addition to comparing costs between the current and previous periods, this dashboard also presents Top Details, showing the services with the highest cost in the environment, their current value, and the value from the previous period.
Daily Dashboard #
Detailed view of daily costs by service category.
Analysis Dashboard #
This dashboard presents a detailed view of costs, allowing you to analyze each consumption component individually, as well as its absolute and percentage variation between periods. The hierarchical structure by service (such as EC2, RDS, Redshift, S3, and Marketplace) makes it possible to quickly identify the main cost drivers, distinguish billing models (On-Demand, Spot, Savings Plans, Storage, Backup, Data Transfer), and understand the impact of each metric on the total consolidated amount.
You can configure a series of filters through which cost variations can be evaluated:
- Min $: filter only consumption rows whose variation compared to the previous period is greater than or equal to the entered value.
- Percentage variation (+/-): filter only consumption rows whose variation compared to the previous period is greater than or equal to the entered percentage.
- Show only variations: if checked, the dashboard will display only the rows where a cost variation occurred. If unchecked, all consumption rows, including those without variation, will be displayed.
- Show % : if checked, the percentage variation will be displayed next to the value.
- View diff.: if checked, the difference in values between the periods will be displayed.
- Levels: the level of information detail. The higher the level, the more cost detail levels are displayed.
You can also export the generated data by clicking on “HTML/Export”. Then, click the “CSV” button.
Top 10 / Anomalies (see Anomaly Management) #
Top 10 Most Expensive – Estimate #
This dashboard displays the top 10 most expensive service categories forecasted for the period. When referring to a month that has not yet closed, the information presented is merely an estimate based on the Forecast for the period.
Data (var %) #
This dashboard presents the top 10 cost offenders based on percentage cost variation. This is a summary view that allows for quick identification of cost drivers.
Heatmap #
The heatmap is an analytical visualization that facilitates the quick identification of cost variations over time, highlighting trends, spikes, and anomalous behaviors without the need to analyze numbers row by row.
How to read this dashboard heatmap:
- Rows: represent services or cost groupings.
- Columns: represent periods, organized chronologically.
- Colors: indicate the percentage cost variation compared to the previous period:
- Shades of red → cost increase (the more intense, the greater the increase).
- Shades of blue → cost reduction.
- Light / white shades → stability or variation close to zero.
- Black → absence of cost or data not applicable in that period.
What this heatmap allows you to identify:
- Services with recurring cost growth, when they appear with multiple consecutive red blocks.
- Effects of optimizations or architectural changes, visible as transitions from red to blue.
- Financial anomalies, when there is an isolated intense red in a specific month.
- Seasonality, by observing patterns that repeat in certain periods.
- Impact on total cost, by comparing the “Total” row with individual services.
Conclusion #
The FinOps Analytics dashboards consolidate complex billing data into clear views to support decision-making, allowing technical, financial, and business areas to share the same understanding of cloud costs. By combining analyses by Products and by Tags / RGs / Labels, the platform enables both a macro view of consumption and granular detailing by responsibility, application, or cost center.
Thus, FinOps Analytics transitions from being merely a reporting tool to acting as a strategic instrument of financial governance, sustaining practices for cost control, budget predictability, accountability, and continuous improvement of cloud efficiency.
