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Decision Management - Prescriptive Analytics

Create, Deploy and Manage Analytics for Better Decisions in Azure, Power Platform, Excel

• Models in Excel, JavaScript, C#, Python
• Easily Deploy Models as Cloud Services
• Data Mining and Machine Learning
• Optimization - Excel Solver Upgrade
• Monte Carlo Simulation/Risk Analysis
• DMN Business Rules/Decision Tables
• Wizards, Online Courses, Expert Support

Tools to Go from Predictions to Money‑Saving Decisions

Go 'Beyond Excel' for Governed, Company-Wide Analytics – Yet Leverage All Your Excel Expertise

Wins for Your Whole Team: Analysts, Developers, Managers

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

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

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

Start Your Journey from Business Analyst Pro to Analytics Ninja:

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

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

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