SAS Visual Statistics
Discover, predict and act – decisively – with interactive data exploration and discovery combined with the ability to easily build and adjust huge numbers of predictive models on the fly.
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Uncover opportunities faster than your competitors
Your data scientists and statisticians can act on observations at a granular level using the most appropriate analytical modeling techniques. The result? You'll unearth insights at unprecedented speeds, and find new ways to grow revenue.
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Put better models into action faster
Easily build and refine models to target specific groups or segments, and run numerous scenarios simultaneously. You can ask more what-if questions to get better results. And put results into action with automatically generated score code.
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Boost analytical productivity
Empower multiple users to interact with data visually – to add or change variables, remove outliers, etc. Instantly see how changes affect your model's predictive power, and make refinements quickly.
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Gain the freedom to experiment
Data science teams have the ultimate flexibility of working in their language of choice, so they can use their skills to the fullest. SAS Visual Statistics unites all analytical assets – whether created using SAS or other languages like R, Python, Java or Lua – within a common solution.
Key features
Data access, preparation, & quality
Access, profile, cleanse, and transform data using an intuitive interface that provides self-service data preparation capabilities with embedded AI.
Custom chatbot creation
Create and deploy custom, natural language chatbots via an intuitive, low-code visual interface for chatbot-enabled insights and conversational user experiences.
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.
Descriptive & predictive modeling
Explore and evaluate segments visually for further analysis using k-means clustering, scatter plots and detailed summary statistics. Use machine learning techniques to build predictive models from a visual or programming interface.
Open, code-based model development
Programmatically access analytical actions from SAS Studio, call them from other languages – Python, R, Lua, Java – or use public REST APIs to add SAS Analytics to existing applications.
Dynamic group-by processing
Concurrently build models and process results for each group or segment without having to sort or index data each time.
Model comparison, assessment & scoring
Generate model comparison summaries (lift charts, ROC charts, concordance statistics, misclassification tables) on one or more models. Export models as SAS DATA step code, and apply them to new data.
Cloud native
SAS Viya's architecture is compact, cloud native and fast, enabling you to make the most of your cloud investment regardless of your cloud provider.
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Training resources for SAS Visual Statistics
SAS Viya is cloud-native and cloud-agnostic
Consume SAS how you want – SAS managed or self-managed. And where you want.
Recommended resources for SAS Visual Statistics
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Технический документ
Redefine Your Analytics Journey With Interactive Data Exploration and Predictive Analytics -
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Fast and Furious: Big Data Analytics Meets Hadoop -
Технический документ
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Customer Story
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Customer Story
Zeroing in on property values with machine learning -
Customer Story
University aces data strategy to retain more students
Связанные решения
Узнайте о продуктах связанных с SAS Visual Statistics, и построенных на SAS® Platform.