Forecast cashflow month over month based on historical trends by service
This query uses the Provider column. Provider is deprecated in v1.3 and will be removed in v1.4.
FOCUS Versions
v1.0
v1.1
v1.2
Context
Finance needs to perform month over month forecasting of cashflow by extrapolating from historical cash costs. Having this data enables Finance to create cashflow cost models.
FOCUS SQL Query
SELECT
MONTH(BillingPeriodStart),
ProviderName,
ServiceCategory,
ServiceName,
SUM(BilledCost) AS TotalBilledCost
FROM focus_data_table
WHERE BillingPeriodStart >= ? AND BillingPeriodEnd < ?
GROUP BY
MONTH(BillingPeriodStart),
ProviderName,
ServiceCategory,
ServiceNameFOCUS Datasets
FOCUS Columns
Related Capabilities
Related Personas
Related KPIs
Forecast Accuracy Rate (Spend)
This metric compares forecasted vs. actual cloud spend over a specific period (e.g., day, month, quarter).
Forecast Accuracy Rate (Usage)
Compares forecasted vs. actual cloud usage (vCPUs, Memory, etc) over a specific period (e.g., day, month, quarter).
Forecast Drift Rate
Evaluate how cloud infrastructure forecasts change over time due to various factors.
Percentage Variance of Budgeted vs. Forecasted CSP Cloud Spend
Measures the difference between budgeted costs and the forecasted costs for using CSP cloud services.
Percentage Variance of Budgeted vs. Actual CSP Cloud Spend
Measure the variance or difference between estimated or budgeted costs for using public cloud services & the actual costs incurred.
CSP Cloud Budget Burn Rate
The rate at which an organization is consuming or spending its allocated budget for cloud services from a CSP.