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    Professional Services – Revenue Estimate Dashboard

    The Professional Services – Revenue Estimate Dashboard in Solver is a pre-built xFP&A dashboard template available in the Solver Template Marketplace for professional services. It is a monthly report that dynamically displays service metrics from three different perspectives.

    What is a Revenue Estimate Dashboard for Professional Services Companies? Revenue Estimate Dashboards are considered planning tools and are used by project leaders and executives to analyze expected revenues from clients and projects. Some of the main functionality in this type of dashboard is that it is a monthly report that dynamically displays service metrics from three different perspectives: 1) Revenue estimate ranked by client, 2) Project pipeline by client with high and low estimates, and 3) Monthly trend for project pipeline with high/low estimates. You find an example of this type of dashboard below.

    Purpose of Service Revenue Estimate Dashboards Professional Services organizations use Revenue Estimate Dashboards to easily forecast expected billing revenues in the pipeline. When used as part of good business practices in FP&A and Project departments, a company can improve its tactical decisions and increase revenues, and it can reduce the chances that project/client outliers or trends are left untouched due to lack of visibility to performance metrics.

    Who Uses This Type of Dashboard? The typical users of this type of dashboard are: Executives, Service Leaders, CFOs, Project Managers. Other Reports Often Used in Conjunction with Service Revenue Estimate Dashboards Progressive FP&A and Project departments sometimes use several different Service Revenue Estimate Dashboards, along with detailed project reports, project dashboards, project budgets, project forecast models, utilization reports, financial statements 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 professional services finance teams and aligned with Solver's xFP&A platform, this Solver dashboard 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 Professional Services – Revenue Estimate Dashboard in Solver? The Professional Services – Revenue Estimate Dashboard is a pre-built xFP&A dashboard template in Solver designed for professional services organizations. It delivers key financial and operational metrics in a single, easy-to-use interface — purpose-built for professional services finance workflows.

    Who uses this Solver dashboard template? Finance leaders at professional services organizations — including CFOs, project managers, and professional services finance teams — use this template to get fast, reliable answers without waiting on IT or building custom reports. It supports both day-to-day monitoring and strategic decision-making.

    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.

    To learn more, visit the Resource Library. 

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