SAS® Visual Forecasting

Generate large numbers of trustworthy forecasts, quickly and automatically, using time series and machine learning techniques.

SAS® Visual Forecasting

Generate large numbers of trustworthy forecasts – quickly and automatically – using time series and machine learning techniques.

Plan better for the future with a fast, configurable, open and future-proof forecasting tool that you can trust.

Streamline and automate your forecasting process.

Automatically generate, visualize and deploy reliable forecasts at scale – without human involvement. Reduced manual intervention means there's less chance of introducing personal bias in the forecasting process. Because forecast analysts don't have to build and monitor forecasting models for every time series, they can focus on more strategic, high-value forecasts or problems that aren't suitable for automation. At the same time, more experienced forecasters can develop and share the modeling strategies and pipelines they configured for use by other areas of the business.

Produce accurate forecasts at scale for better planning.

Automatically partition data into segments of similar time series based on the nature of the data. Then apply the most effective modeling technique to each group using time series, machine learning and hybrid techniques.

Empower open source users.

Provide data science teams the option of scaling popular open source algorithms in Python and R by distributing them to run in parallel in the cloud. SAS Visual Forecasting provides an open and extensible framework that integrates and parallelizes algorithms, making them shareable and reusable in a governed and consistent way.

Incorporate external drivers and business knowledge.

Business drivers, holidays or events that affect the forecasting process are selected automatically from variables supplied to the system. Using a simple user interface, you can also override the system’s results based on actual business knowledge to further improve forecasting accuracy. Manage changes based on specific filters you define as part of the same ecosystem.

Customer Success

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Free Trial

Try the latest SAS® Viya® capabilities

Get a free, 14-day trial of SAS® Viya, which includes all the capabilities of SAS® Visual Forecasting as well as for the entire analytics life cycle.

Key Features

SAS Visual Forecasting provides an open forecasting ecosystem for quickly and automatically producing a large number of reliable forecasts.

Data access, preparation & quality

Access, profile, cleanse and transform data using an intuitive interface that provides self-service data preparation capabilities with embedded AI.

Data visualization

Visually explore data and create and share smart visualizations and interactive reports through a single, self-service interface. Augmented analytics and advanced capabilities accelerate insights and help you uncover stories hidden in your data​.

Automatic time series analysis & forecasting

Several function packages perform specific tasks in the time series analysis process. Convert time-stamped transactional data into a time series format, then generate forecast models automatically.

Machine learning & deep learning

Incorporate neural networks (NNs), recurrent neural networks (RNNs) and hybrid techniques (NNs + time series) in the forecasting process to model even the most challenging series. Generate features and automatically transform transactional data into the right format to eliminate manual, labor-intensive feature engineering prior to using these sophisticated techniques.

Parallelize open source algorithms

Integrate and parallelize Python and R algorithms to run in the cloud using a well-governed and consistent framework. Empower open source users to scale their code to run in lightning speed in a distributed way using SAS Viya’s worker nodes in the cloud​.

Time-series segmentation

Automatically segment data based on demand-classification attributes, such as volume and volatility, using a prebuilt template and model each segment separately in the project pipelines. Or import custom segments based on your business knowledge. Apply the most appropriate forecasting technique based on the nature of the data and significantly improve the quality of your forecasts.

Add events to models

Model the effect of events (holidays, retail promotions, natural disasters, etc.) on dependent time series to improve model accuracy. The solution includes default prebuilt events (e.g., major holidays), and you can add others from an external event repository.

Interactive modeling

Analyze individual time series, compare models visually and develop custom models for individual time series via a simple user interface. Assess and evaluate models with automatically generated diagnostic plots and tables, and select your own model champions.

Highly flexible forecast override

Make customized adjustments to specific filters or groups of time series defined by attributes, not just by hierarchical variables, using a powerful manual override capability via a simple user interface.

Hierarchical reconciliation

Model and forecast each series in a hierarchy individually, then reconcile top-down at multiple levels. Adjust a forecast at any level, and apportion it to lower levels to keep the hierarchy consistent. Individual forecasts (by products, locations, etc.) roll up to the top number.

Additional forecasting & econometrics procedures

Address virtually any forecasting and time series analysis challenge with access to SAS/ETS® and SAS Forecast Server procedures.

Support for APIs & other programming languages

Use the broad range of built-in forecasting models, and/or customize models that work well with your data. Use public REST APIs to add SAS Analytics to other applications. Call analytical actions, procedures and APIs from SAS, Python, R, Java and Lua.

Scripting language for distributed processing

A scripting environment supports fast, in-memory time series analysis. The scripting language is optimized and compiled for the machine it's running on – no need to rewrite code for different machines.

Powered by SAS® Viya®

SAS Viya has a completely redesigned architecture that is compact, cloud native and fast. Whether you prefer to use the SAS Cloud or a public or private cloud provider, you'll be able to make the most of your cloud investment.

Cloud Providers

Conquer all your analytics challenges – from experimental to mission critical – with faster decisions in the cloud. The latest release of SAS Viya is now available on these cloud providers.

SAS Cloud

Running the latest version of SAS Viya natively on Microsoft Azure, the SAS Cloud manages your entire analytics platform for optimal performance and value.

Azure

Microsoft is our strategic partner and preferred cloud provider. With deep integration and a shared road map, SAS and Microsoft are shaping the future of AI and analytics in the cloud.

AWS

Designed to be cloud-native, SAS Viya is tested and approved to leverage the same cloud services used by millions of AWS users.

GCP

With a commitment to innovation and open-source cloud principles, SAS Viya brings native AI and advanced analytics to Google Cloud.

Red Hat OpenShift

SAS Viya is bringing the latest DataOps, AI and ModelOps capabilities to Red Hat OpenShift – the leading enterprise Kubernetes platform, built for your open, hybrid cloud strategy.​

Explore More on SAS® Visual Forecasting & Beyond

Community

SAS® Forecasting & Econometrics Community

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Blog

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White paper

Accelerate Open Source Forecasting With SAS

Find out how you can build on your existing open source strategies in an agile, efficient and highly scalable way by running open source forecast models with SAS.

Connect with SAS and see what we can do for you.