Frontline Systems’ RASON® Decision Services Enables Collaboration, Governance and Security of Analytic Models
Frontline Systems has released a major new version of RASON® Decision Services, its cloud service on Azure, that enables companies – and their IT and Analytics Centers of Excellence – to easily embed ‘decision intelligence’ in activities ranging from annual or quarterly planning to everyday business processes – yielding reduced costs and risks, in fields ranging from manufacturing and distribution to energy, pharmaceuticals, investment and insurance.
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RASON, an acronym for RESTful Analytic Solver Object Notation, is an Azure-hosted platform that enables users to ‘publish’, manage and govern analytic models as RESTful decision services, easily update them with new data and solve them, and easily use results in any application that can consume JSON or OData. New “Organization Accounts” in this release offer exceptional security and privacy, and new collaboration and governance features, for firms using Azure with teams of analytic model-builders.
For model authoring, RASON works by itself or with Analytic Solver, Frontline’s popular Excel-based tool to enable business analysts who aren’t data scientists to build and solve analytic models themselves. Analytic Solver is upward compatible from the Solver in Excel, which Frontline originally developed for Microsoft. For model deployment, RASON works with any web or mobile app that makes REST API calls and consumes JSON or OData – but it’s exceptionally easy to use with Microsoft’s “Power Platform” – notably Power BI, Power Apps, Power Automate and Dynamics 365.
“We’re enabling organizations to ‘use, but move beyond Excel’, easily deploy analytics in the cloud, and govern both data and models – leveraging both Excel modeling skills and Azure security features”, said Daniel Fylstra, Frontline’s President and CEO.
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Results from Analytics in Months, not Years
RASON plus Analytic Solver is a complete “decision management suite” that supports the full range of business rules, forecasting, machine learning, optimization and simulation methods, from small models to large, multi-stage analytics workflows. But unlike other platforms that require extensive implementation consulting, six- to seven-figure budgets and year-long deployment schedules, Frontline’s tools enable a company’s own staff to get results in months, by leveraging what they already have: business expertise and Excel skills for model creation, modern low-code/no-code tools such as Power Apps and Power Automate for model deployment, and Office 365, Dynamics 365, Common Data Service, OneDrive, and CData’s Cloud Hub tools for data management. By leveraging OData standards, RASON enables easy use of analytic model results as data – a key idea.
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