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Solver is a hybrid corporate performance solution that is based on the Microsoft platform. It is useful for different size businesses and operates across various industry verticals. The important features include budgeting, reporting, data warehousing, and dashboards. You can deploy the software in the cloud or on-premise and use it with integrations to several ERPs like Microsoft Dynamics 365, GP, AX, NAV, SL, Acumatica, Sage Intacct.




  • Ad Hoc Reports
  • Benchmarking
  • Key Performance Indicators
  • Predictive Analytics
  • Dashboard
  • Performance Metrics
  • Profitability Analysis
  • Scorecards
  • Trend / Problem Indicators
  • Strategic Planning
  • Visual Analytics
  • Version Control
  • Real-Time Data Updates
  • Collaboration
  • Reporting Templates
  • Custom Reporting
  • Data Analysis
  • Data Visualization
  • Budgeting
  • Forecasting


  • Deployment: Cloud Based, Web Based, SaaS Based, Installed - Windows, iPhone / iPad, Android


  • In Person
  • Live Online
  • Webinars
  • Documentation

Solver Users

Available Support

  • Business Hours
  • Online

Language Support

  • English

Company Details

  • Company Name: Solver

  • Headquarter: United States

  • Full Address:


It integrated well with our ERP system. Once the financial statements we created were finalized, it was easy to run them monthly and save a lot of time producing our monthly financial statements.

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Reporting function, flexibility of product, customer support, and the ability to streamline our existing reports and expand upon our “old” reports and create new reports to satisfy our budget and departmental managers.

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The Live Reporting tool is awesome being able to connect to an ERP System as well as load in excel files. The Report Designer is similar to excel and utilizing pivot tables to be able to slice and dice information.

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Connecting our data was the biggest hurdle for us. Our ERP was on a Linux server. It took a few months before our data was able to connect to SAP Business One. Highly recommend connecting your data to a SQL server if you are in this scenario to save time on your implementation.

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