With Analytic Solver, business analysts can "deploy to the cloud," and even monitor runs of deployed models, without leaving Excel. With these tools, a large organization with multiple risk analysis and modeling projects can ensure they are using consistent assumptions about uncertain/risky variables, down to individual trials, in simulation or decision models – enabling results of different projects to be meaningfully compared.ĭeployment Wizard for Teams, Power BI, Tableau and RASON
Users can also deploy and share probability models, following the open Probability Management 3.0 standard.
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In recent years, RASON has offered increasingly powerful facilities to deploy models to the cloud and share them with other users – culminating in Frontline Solvers V2020.5, which enabled deployment, sharing, versioning and management of Excel models as well as native RASON models, plus support for multi-stage decision flows, encompassing and going beyond traditional data science workflows.Īnalytic Solver V2021.5 goes further: Users can now deploy and share data mining and machine learning models, trained in Analytic Solver or RASON, to the Azure cloud, and use them directly for classification and prediction (without needing auxiliary "code" in R or Python, RASON or Excel). Share Machine Learning and Probability Models via RASON It's never been easier to get an accurate probability distribution that fits a real-world phenomenon.
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Analytic Solver V2021.5 brings Metalog distributions to the fore, with a powerful new facility to automatically fit user data to the full range of possible (bounded and unbounded, multi-term) Metalog distributions. Tom Keelin: these tools can closely approximate virtually any classical continuous distribution, and often they can better fit historical data than classical distributions. Since mid-2017, they've also supported the increasingly popular Metalog family of distributions, created by Dr. Analytic Solver will test and evaluate multiple types of machine learning models and their parameters, validate and compare them according to user-chosen criteria, and deliver the model that best fits the data.īetter Simulation Models with Metalog Distributions and FittingĪnalytic Solver and RASON support over 60 "classical" probability distributions for Monte Carlo simulation. With new " Find Best Model" options in V2021.5, this work is automated. But the task of choosing and comparing these models, and selecting parameters for each one was up to the user. Using Analytic Solver's data mining and machine learning tools, users can "train" or fit data to a wide range of statistical and machine learning models: Classification and regression trees, neural networks, linear and logistic regression, discriminant analysis, naïve Bayes, k-nearest neighbors and more.
"With Analytic Solver, business analysts have unique risk analysis and machine learning capabilities - and they can 'move beyond Excel' to gain cloud-based data access, model management and governance, without losing the advantages of Excel", said Daniel Fylstra, Frontline's President and CEO.Īutomate Data Mining with Find Best Model The combination is a complete "decision intelligence suite" that supports business rules, forecasting, machine learning, optimization and simulation methods, from small models to large, multi-stage analytics workflows.
Decision Intelligence Results in Months, not YearsĪnalytic Solver works with RASON, Frontline's Azure-hosted platform, to empower users to 'publish' and manage analytic models as RESTful decision services, easily usable in Teams, Power BI, Power Apps, Power Automate, or any application that can consume JSON or OData.
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