Predictive and Prescriptive Analytics from Excel to your Servers and Cloud

  • Tools to Build and Solve Your Models
  • Data Mining and Machine Learning
  • Optimization - Excel Solver Upgrade
  • Monte Carlo Simulation/Risk Analysis
  • Use Excel, RASON Modeling, SDKs/APIs
  • Wizards, Online Courses, Expert Support
Used by:
  • Companies
  • Cloud Users
  • MBA Students
  • Recommend

Wins for Your Whole Team: Analysts, Developers, Managers

  • Tools for Analysts
  • Tools for Developers
  • Tools for Managers

Tools for Analysts

Want to learn and use data science (predictive analytics) and/or management science (prescriptive analytics)? Use our powerful Excel based tools, RASON modeling language, and our learning resources to get results quickly.

You can even work directly with a developer in your company who doesn't use Excel. Analytic models in our RASON modeling language or in Excel run directly in our SDKs and REST API.

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Tools for Developers

Want to learn and use data science (predictive analytics) and/or management science (prescriptive analytics)? Use our powerful SDKs from your favorite programming language, and our learning resources to get results quickly.

You can even work directly with a business analyst in your company who uses Excel. Analytic models in our RASON modeling language or in Excel run directly in our SDKs and REST API.

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Tools for Managers

Want to get results from analytics in months, not years? That's what we do best. Use our powerful software tools and training to get quick wins on your first projects, while you grow analytics expertise in the people you have.

Enable business analysts and developers to work together, to quickly move a project from a prototype (easier in Excel) to production in a server or cloud based application.

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Start Your Journey from Business Analyst Pro to Analytics Ninja:

Tutorials - Videos - Webinars - Online Courses for You and Your Team

  • Optimization Tutorial
  • Simulation/Risk Analysis
    Tutorial
  • Data Mining Tutorial

Optimization Tutorial

Solvers, or optimizers, are software tools that help users determine the best way to allocate scarce resources. Examples include allocating money to investments, or locating new warehouse facilities, or scheduling hospital operating rooms. In each case, multiple decisions need to be made in the best possible way while simultaneously satisfying a number of requirements (or constraints). The "best" or optimal solution might mean maximizing profits, minimizing costs, or achieving the best possible quality. Here are some representative examples of optimization problems:

  • Finance/Investment: Cash management, capital budgeting, portfolio optimization.

  • Manufacturing: Job shop scheduling, blending, cutting stock problems.

  • Distribution and Networks: Routing, truck loading, fleet scheduling.

Simulation/Risk Analysis Tutorial

Quantitative risk analysis is the practice of creating a mathematical model of a project or process that explicitly includes uncertain parameters that we cannot control, and also decision variables that we can control. Monte Carlo simulation explores thousands of possible scenarios, and calculates the impact of the uncertain parameters and the decisions we make on outcomes that we care about -- such as profit and loss, investment returns, environmental results and more. Industries where simulation and risk analysis are heavily used include:

  • Pharmaceuticals: Modeling R&D and clinical trials

  • Oil & Gas: Modeling drilling projects

  • Insurance: Modeling frequency and types of claims

Data Mining Tutorial

Data mining software tools help users find patterns and hidden relationships in data, that can be used to predict behavior and make better business decisions. A machine learning algorithm "trained" on past observations can be used to predict the likelihood of future outcomes such as customer "churn'" or classify new transactions into categories such as "legitimate" or "suspicious". Other methods can be used uncover "clusters" of similar observations, or find associations among different items. Common applications include:

  • Financial Services: Fraud detection, good vs. bad credit risks

  • Direct Marketing: Segmentation to improve response rates

  • Electoral Politics: Identifying "most persuadable" voters

Hear what some of our customers are saying

Ready to get started?

Use a full featured version of Analytic Solver software (with model/data size limits, enough for all examples) for 15 days, free of charge.