How Costpoint Forecasting Works
A typical forecasting process begins with actual financial information recorded through the ERP. Finance and project teams then combine current results with assumptions about remaining labor, materials, subcontract costs, indirect expenses, revenue, and other expected activity.
The forecast can be organized around projects, contracts, organizations, accounts, fiscal periods, and other financial dimensions. The Forecasting process therefore provides a forward-looking layer over accounting and operational data rather than replacing the underlying financial records.
For example, if a project has incurred $1.8M through the current period and management expects another $1.2M of eligible costs, the projected total cost would be $3.0M. Comparing that projection with the approved project budget provides a basis for reviewing expected financial performance.
Key Data Inputs for Forecasting
Reliable forecasts depend on consistent source data. Actual project costs provide the starting point, while budgets, open commitments, labor expectations, procurement activity, and contract information help estimate future activity.
The chart of accounts supports consistent classification when invoice data is captured, validated, matched, coded, approved, and posted. Accurate coding helps ensure that actual expenses feeding financial forecasts are assigned to the appropriate accounts and project dimensions.
Procurement commitments can also affect expected future spending. Open obligations, labor requirements, subcontractor commitments, and planned purchases can provide additional information about costs that have not yet appeared as actual accounting transactions.
Forecasting and ERP Integration
Costpoint forecasting works most effectively when financial and operational data remain connected. Integration with the ERP allows finance teams to use current accounting information, project structures, budgets, and transaction activity when updating forecasts.
Organizations using deltek Costpoint can align forecasting with existing project accounting and financial workflows while extending processes around the ERP. This helps maintain consistency between operational transactions and the financial projections used for management reporting.
Forecasting can also incorporate receivables information. cash application matches customer payments and remittances with outstanding receivables, helping finance teams identify unapplied cash, deductions, and posted receipts. These activities contribute to a more complete view of expected liquidity and working capital.
Forecasting Cash Flow and Financial Performance
Project and corporate forecasts are not limited to expenses. Finance teams may use projected billings, collections, payments, payroll, procurement commitments, and other expected transactions to understand future liquidity.
Accurate forecasting can improve cash flow visibility by connecting expected receipts and expenditures with the timing of financial activity. For example, a contractor expecting $4.2M in customer receipts over upcoming periods can compare projected collections with planned payroll, supplier payments, and other obligations to support liquidity decisions.
Forecast information can also support management discussions about project margins, resource allocation, contract performance, funding requirements, and expected financial results.
Specialized Forecasting Applications
Different forecasting areas may use different assumptions and data. Interest Forecasting, for example, focuses on expected interest income or expense and may incorporate borrowing balances, rates, payment timing, and other financing assumptions.
At a broader organizational level, Corporate Forecasting combines information across business units, projects, revenue streams, expenses, and other financial areas to develop an enterprise-level view of expected performance.
These specialized forecasts can feed broader financial planning while retaining the assumptions appropriate to each underlying business activity.
Forecast Review and Variance Management
Forecasts become more useful when they are reviewed against actual performance on a defined schedule. Finance teams can compare forecasted amounts with actual results and investigate material differences in labor, materials, subcontracting, indirect costs, revenue, or cash collections.
- Compare actual results with the latest forecast by project and accounting period.
- Review major changes in assumptions behind remaining costs or revenue.
- Incorporate relevant commitments and known future transactions.
- Document significant forecast revisions and their business drivers.
- Refresh projections when project scope, schedules, funding, or operating conditions change.
Regular variance analysis helps distinguish temporary fluctuations from changes that may require an updated forecast. It also creates a clearer audit trail for management decisions and financial reporting.
Best Practices for Costpoint Forecasting
Organizations should establish consistent forecasting calendars, ownership, assumptions, and approval procedures. Actual accounting data should be reconciled before it becomes a forecasting baseline, and project managers should provide operational insight into remaining work and expected resource requirements.
Forecast versions should be clearly identified so finance teams can distinguish approved budgets, current forecasts, and historical projections. Assumptions should also be documented, particularly when forecasts materially change because of project scope, schedule, staffing, procurement, or contract conditions.
Combining structured financial data with operational knowledge gives management a more practical basis for financial planning, liquidity management, and project performance decisions.
Summary
Costpoint Forecasting provides a structured way to project future project, contract, and corporate financial performance using actual results, budgets, commitments, and forward-looking assumptions. By connecting ERP data with project and financial planning, forecasting supports cost visibility, cash flow planning, variance analysis, and informed management decisions.