Cloud Cost Management for Finance Teams Who Own the Close
Stop rebuilding the cloud and SaaS spend model in a spreadsheet every month. CostAnalyst reads it, attributes it by team, and forecasts it for you.
projected this month if unattended
Spend by team
Budget forecast
In short
Cloud cost management for finance teams gives FP&A and finance one attributed view of cloud and SaaS spend with a run-rate. CostAnalyst takes your AWS, GCP, or Azure billing export and the SaaS subscriptions you list, allocates every dollar to a team and project, and projects the run-rate, so the monthly close becomes a defensible report rather than a manual spreadsheet build.
Why it fits
FP&A and finance analysts who own the monthly cloud and SaaS spend model.
No more monthly rebuild
Upload the month export and the split by account and owner is ready for the close.
Defensible attribution
Every dollar tagged to a team and project, even where engineering tagging is patchy.
Read-only and money-neutral
The lowest-risk thing finance can plug in. It never moves money.
More use cases
Questions people ask
For finance teams, answered
How do finance teams manage cloud costs?
Finance teams manage cloud costs by getting three things in place: connected billing data instead of console exports, spend attributed to teams and projects so every dollar has an owner, and a forecast that updates from actuals. In practice most teams start in a spreadsheet rebuilt every close, then move to a tool that automates the connection, the attribution, and the forecast once the model stops fitting in the sheet.
How does finance allocate cloud spend when engineering tagging is incomplete?
Perfect tagging never happens, so allocation cannot depend on it. The practical approach layers signals: native tags where they exist, account and project boundaries, and rules that assign shared or untagged spend by usage or headcount. CostAnalyst applies these layers automatically and shows what share of spend each rule allocated, so the number stays defensible when a team disputes its chargeback.
What should FP&A use to forecast cloud and SaaS spend?
Forecast from connected actuals, not from last quarter plus a percent. Cloud run-rate moves with deploys and usage, and SaaS steps up at renewals, so a useful forecast combines the current daily run-rate, known commitments and renewal dates, and trend. CostAnalyst builds that projection automatically from read-only billing data, which turns the budget conversation from an estimate into a defensible number.
Is it safe for finance to connect directly to cloud billing?
Yes, when the access is read-only. CostAnalyst works only from the billing exports you upload: it can see cost and usage data but cannot start, stop, or change any resource, and it never touches payment methods, so money cannot move. For a finance team this is the lowest-risk integration shape there is, and it is the reason the connection does not need an engineering change-approval cycle.
How does CostAnalyst help with the monthly close?
It removes the rebuild. You upload the billing export, CostAnalyst splits cloud cost by account and SaaS spend by owner the same way every period, so at close the finance owner downloads a report instead of reconstructing the model. Anomalies were flagged when they happened, not discovered in the invoice, which means the close explains variances instead of hunting for them.
Find your savings, in dollars
Upload your cloud billing export and see exactly where to save. Money never moves. Create your account and get started.