Government – Revenue Budget Review

What is a Revenue Budget Review and Adjustment model? Revenue Budget Review and Adjustment input forms are considered a key part of annual budget models used as a best practice by government entities. These templates used by budget managers and reviewers to review budget requests along with historical data and to enter proposed adjustments. Some of the main functionality in this type of budget template is that it displays historical actual and budget data and provides input of proposed increases/decreases with commentary. The example below has the following information: 1) Two years of actual data, 2) Last year's adopted budget, 3) Baseline budget (can be a copy of last year's adopted budget) and departmental adjustments which is added up to  departments' requested budget for the current budget process, 4) Amount and/or percent adjustments by the Budget Manager's Office, 5) Adjustments from the Executive office, and 6) Adjustments from the Board. Not visible in the screenshot are also comment input fields for each of the reviewers. You find an example of this budget template below.

Purpose of Budget Review and Adjustment Models Public Sector organizations use Budget Review and Adjustment Models to enable a highly structured budget process with automated documentation and workflow. When used as part of good business practices in Budgeting and Planning departments, a government entity can improve its revenue budget accuracy, and it can reduce the chances that comments and adjustments are poorly communicated or lost during the budget process.

Who Uses This Type of Budget template? The typical users of this type of budget template are: Executives, Budget Managers, department heads. Other Reports Often Used in Conjunction with Budget Review and Adjustment Models Progressive Budgeting and Planning departments sometimes use several different Budget Review and Adjustment Models, along with general ledger and line items expense input forms, employee (human capital) and headcount forms, capital budget forms, budget analysis dashboards and other management and control tools.

Where Does the Data for Analysis Originate From? The Actual (historical transactions) data typically comes from enterprise resource planning (ERP) systems like: Microsoft Dynamics 365 (D365) Finance, Microsoft Dynamics 365 Business Central (D365 BC), Microsoft Dynamics AX, Microsoft Dynamics NAV, Microsoft Dynamics GP, Microsoft Dynamics SL, Sage Intacct, Sage 100, Sage 300, Sage 500, Sage X3, SAP Business One, SAP ByDesign, Acumatica, Netsuite and others. In analyses where budgets or forecasts are used, the planning data most often originates from in-house Excel spreadsheet models or from professional xFP&A solutions.

Built for government finance teams and aligned with Solver's xFP&A platform, this Solver planning template connects directly to your ERP data via the Solver Data Warehouse, enabling near real-time analysis with minimal setup. Designed for QuickStart deployment, it can be activated rapidly so your team can focus on analysis and decisions — not data preparation.

What is the Government – Revenue Budget Review in Solver? The Government – Revenue Budget Review is a pre-built xFP&A planning template in Solver designed for government organizations. It delivers key financial and operational metrics in a single, easy-to-use interface — purpose-built for government finance workflows.

Who uses this Solver planning template? Cfos, controllers, and public sector finance teams in government organizations rely on this Solver planning template to replace manual spreadsheet-based processes with automated, near real-time analysis. It is especially useful during month-end close, budget cycles, and board reporting.

Where does the data come from? Data is sourced automatically from your ERP system through the Solver Data Warehouse, which integrates with platforms such as Microsoft Dynamics 365 Business Central, Dynamics 365 Finance, Acumatica, Sage Intacct, and other leading ERP solutions. Once connected, the template updates in near real-time with no manual data entry required.

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