借助 SAS Visual Statistics，多个用户可以探索数据，以交互方式创建并优化预测模型。
比竞争对手更快发现机会。
数据科学家和统计人员可利用最适合的分析建模技术进行精细观察。结果?您可以前所未有的速度做出分析，找到增加收入的新方法。
利用更好的模型加快分析速度。
针对特定分组或分段轻松构建并优化模型，可同时在大量场景下运行。您可以提出大量假设问题获得更好的结果。根据分析结果采取行动，自动生成评分代码。
提高分析工作效率。
支持多个用户直观地进行数据交互 —— 添加或更改变量、去除异常值等。立即查看改变对模型预测能力的影响，并快速进行优化。
灵活的操作体验。
数据科学团队具有选择语言的最大灵活性，从而充分利用自己的技能。SAS可视化建模统计工具将各种分析资产–无论使用SAS还是采用其他语言创建的，如R、Python、Java或Lua–集成在通用解决方案中。
免费试用
试用最新 SAS Viya 功能。
获取 SAS Viya 14 天免费试用，其中包括此套件以及整个分析生命周期的功能。
主要功能
依托交互式数据探索和发现，将其与轻松构建和调整大量动态预测模型的能力相结合。
数据访问、准备和质量
使用直观的界面进行数据访问、分析、清理和转换，该界面通过嵌入式 AI 提供自助数据准备功能。
创建自定义聊天机器人
通过直观的低代码可视化界面创建和部署自定义自然语言聊天机器人，通过聊天机器人获取有用信息并实现出色的对话式用户体验。
数据可视化
通过单一的自助服务界面直观地浏览数据，创建和共享智能可视化和交互式报告。增强分析和高级功能可助力用户快速获得洞察，帮助您发现数据中隐藏的信息。
描述性建模和预测建模
使用 k 均值聚类、散点图和详细汇总统计，以可视化方式探索和评估各个分段，以便做进一步分析。使用机器学习技术从视觉或编程界面构建预测模型。
开放式基于代码的模型开发
利用SAS Studio以编程方式访问分析操作，通过Python、R、Lua、Java等–其他语言调用–也可以使用公共REST API将SAS分析添加到现有应用中。
动态分组处理
同时建立每个组或分段模型和处理结果，不必每次进行数据排序或检索。
模型比较、评估和评分
生成一个或多个模型的模型对比一览(提升图、ROC图、一致性统计、错误分类表)。 按SAS数据步代码导出模型用于新数据。
云原生
SAS Viya 的架构具有紧凑、云原生和快速的特性。无论是更青睐 SAS 云还是公共云或私有云提供商，您都可以将云投资发挥到极致。
探索 SAS Visual Statistics 和其他产品的更多信息
如需按类型浏览资源，请选择下面的选项。
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- 选择资源类型
- 书籍摘录
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- 博客文章
- 客户案例
- 文章
- 案例研究
- 电子书
- 白皮书
- 白皮书
- 研究
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- 网络研讨会
- 视频
- 访谈
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客户案例
Breaking the cycle of poverty through advanced analyticsCompassion International uses advanced analytics to help millions of children from impoverished nations secure food, medical care and educational resources to grow, learn and thrive.
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客户案例
客户案例
Advanced analytics helps policymakers determine how new tax measures would affect citizensAscertaining the ‘winners’ and ‘losers’ of potential tax changes before regulations are implemented.
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客户案例
Making prisons and communities safer with data visualizationIowa Department of Corrections uses SAS Viya on SAS Cloud to better manage supervised populations, make informed decisions and improve public safety.
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客户案例
Predictive analytics and AI deliver a winning fan experience The Orlando Magic uses mobile app data and machine learning to personalize marketing campaigns and analyze game data.
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客户案例
Analytics helps major public health system run efficient programs and improve patient careThe Los Angeles County Department of Health Services relies on advanced analytics from SAS to meet federal regulations, ensure financial viability and better serve a diverse population of more than 10 million people.
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客户案例
Transforming the consumer banking experience through advanced analyticsCIMB Singapore uses SAS Viya to enhance business operations and keep pace with changing customer needs.
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白皮书
Redefine Your Analytics Journey With Interactive Data Exploration and Predictive AnalyticsWhat if your analytics journey were easier? It can be, in five easy steps. Learn how SAS Visual Analytics and SAS Visual Statistics together can provide a fast, fun way to explore data, build models and find the best performer.
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白皮书
The Use of Open Source is Growing. So Why Do Organizations Still Turn to SAS?This conclusions paper summarizes a session at the 2014 Hadoop Summit presented by Brian Garrett, Principal Solutions Architect at SAS Institute Inc. titled, “With the Rise of Open Source, Why Organizations Still Turn to SAS.” In it, he explains why corporate analytics requirements are best served when companies run both SAS enterprise-class analytics solutions and open source solutions together. Garrett explains how these technologies meet different needs and co-exist well. He also highlights recent SAS software enhancements that allow analysts to incorporate R algorithms into analytic processes as part of a comprehensive, enterprise-class SAS analytics platform.
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客户案例
Finland’s top retail bank applies AI to improve customer service and credit scoringS-Bank provides better customer service and faster, more accurate loan processing time using SAS Viya on Azure.
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客户案例
Norway’s largest telecommunications, media and technology provider adapts to rapidly changing customer expectations using a hybrid cloud approachTelenor relies on SAS Viya on Azure and SAS Customer Intelligence 360 to provide fast, personalized customer service based on real-time analytics.
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白皮书
Fast and Furious: Big Data Analytics Meets HadoopConclusions paper from a presentation at the 2014 Strata Santa Clara big data conference, in which two SAS data experts demonstrated new ways of gaining insights from big data at speeds that will redefine how organizations solve complex problems.
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白皮书
Big Data, Analytics and HadoopSAS and Hadoop are natural partners. Hadoop provides distributed storage and processing power. SAS treats Hadoop as just another data source and complements it with data management, data discovery and advanced analytics. This conclusions paper highlights two ways you can work with Hadoop data from within a familiar and interactive SAS Analytics environment – either with the graphical user interface of SAS® Visual Statistics or streamlined programming via SAS In-Memory Statistics for Hadoop.
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客户案例
Boosting institutional research with data governance and self-service reportingThe University of Idaho invests in SAS to give administrators access to trusted, insight-rich data.
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客户案例
It’s all in the research: Using AI to solve issues in health careWith the University of Alberta's new health data management and analysis platform, DARC, it can now increase research capacity and provide high-performance computing and data storage in a secure environment. SAS provided the university software to help make its platform thrive amidst a global pandemic.
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客户案例
A model of institutional research champions the value of analytics for allOklahoma State University uses SAS to create an analytics culture and increase student success.
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客户案例
人工智能和 IoT 分析助力飞机顺利执行重要任务Lockheed Martin 借助 SAS 平台彻底改变了飞行器的维护。
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文章
统计建模和机器学习的区别之我见我们可以通过数据所承担的角色来区分统计建模、经典机器学习和现代机器学习。
