Descriptive and predictive modeling
Visually explore and evaluate segments 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 and 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.
Distributed, in-memory analytical processing
Uses in-memory analytical processing to provide answers to a range of business questions in a single, scalable and governed environment.
Flexible deployment options
Runs on commodity hardware, in a private or public cloud infrastructure, Cloud Foundry platform as a service (PaaS) or managed software as a service (SaaS).
Ваши специалисты по данным и статистике смогут принимать решения с учетом подробной информации о наблюдениях, используя наиболее подходящие методы аналитического моделирования. Результат? Вы будете получать ценную информацию с невообразимой скоростью и открывать новые способы увеличения прибыли.
С легкостью создавайте и совершенствуйте модели, адаптированные для конкретных групп или сегментов. Запускайте несколько сценариев одновременно. Находите ответы на вопросы «Что, если…?» и повышайте результативность. Принимайте решения на основе результатов с помощью автоматически генерируемого кода оценки.
Предоставляйте самым разным пользователям возможность работать с данными (добавлять и менять переменные, удалять отклонения и т. п.) при помощи графических инструментов. Мгновенно узнавайте, как изменения повлияют на качество прогнозов модели, и оперативно вносите изменения. Работать с аналитическими алгоритмами SAS можно из других сред с помощью выбранного вами языка программирования (Python, Java, R или Lua).
Команды data-специалистов используют свои навыки максимально гибко и продуктивно, когда работают на удобном им языке программирования. SAS Visual Statistics в рамках общего решения объединяет все активы аналитики, созданные с помощью SAS или других языков, таких как R, Python, Java или Lua.
Customer Story
Shaping higher education through cloud analyticsGeorge Mason University relies on SAS Viya to uncover insights to improve operational effectiveness and increase student success.
Технический документ
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.
Article
Stopping the Zika virus: The potential of big data, analyticsHow do you stop global outbreaks? The answer may be in the data about the disease and how it spreads.
Customer Story
Искусственный интеллект найдет новую звезду футболаDutch sports analytics company SciSports uses emerging tech to innovate on the pitch.
Технический документ
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.
E-Book
How Any Size Organization Can Supersize Results With Data VisualizationEveryone makes better decisions with easy access to powerful, interactive analytics – no matter the size of the business. This e-book profiles six organizations that are using self-service data visualization and exploration to make big improvements in the way they work.
Технический документ
Using Analytics With Open Data to Build a Stronger GovernmentLearn how governments can use open data and SAS to pinpoint, analyze, solve and predict problems and uncover new opportunities.
Заключение — SAS
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.
Технический документ
Using Next-Generation Advanced Analytics to Harness Big DataDiscover why Heavy Reading recommends using advanced analytics from proven vendors to obtain real-time intelligence from all your big data.
Заключение — SAS
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
Заключение — SAS
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.
Customer Story
Increasing customer loyalty with artificial intelligenceConnexions Loyalty Chief Data and Analytics Officer turns streaming customer data into a source of innovation.
Customer Story
Targeted offers give hockey fans the royal treatmentLA Kings extend hot streak off the ice with analytics-grounded customer intelligence.
Customer Story
Machine learning helps personalize the gift card experience across retail channelsEpipoli uses SAS artificial intelligence and customer intelligence solutions to craft relevant, real-time offers for customers.
Customer Story
University aces data strategy to retain more studentsBetter student outcomes, million-dollar savings just the beginning for the University of North Texas.
Customer Story
Zeroing in on property values with machine learningArtificial intelligence improves assessment accuracy and productivity in Wake County.
Customer Story
Искусственный интеллект найдет новую звезду футболаDutch sports analytics company SciSports uses emerging tech to innovate on the pitch.
Customer Story
Банк «Санкт-Петербург» внедрил SASАвтоматизация процессов целевого маркетинга позволила ускорить вывод новых предложений на рынок, повысить отклик со стороны клиентов и объем продаж.
Customer Story
Shaping higher education through cloud analyticsGeorge Mason University relies on SAS Viya to uncover insights to improve operational effectiveness and increase student success.
Interview
Анализ образовательных процессов позволил Университету Алабамы принимать более взвешенные решенияПосле внедрения технологий SAS мы смогли избавиться от огромного объема лишней работы. Теперь мы можем извлекать информацию, создавать собственные файлы данных, выполнять их анализ и получать результаты в нужном формате для максимально удобной отправки.
Article
Stopping the Zika virus: The potential of big data, analyticsHow do you stop global outbreaks? The answer may be in the data about the disease and how it spreads.
Article
Become a strategic business partner using analytics in financeCollecting, validating and reporting information is no longer enough for finance professionals – it’s time to transform your role using analytics in finance.
Узнайте о продуктах связанных с SAS Visual Statistics, и построенных на SAS® Platform.
SAS/ACCESS® SoftwareСчитывайте, записывайте и обновляйте данные независимо от того, в какой базе данных или на какой платформе они хранятся.
SAS/STAT®Воспользуйтесь широкими статистическими возможностями для удовлетворения потребностей в анализе данных организации.
SAS® Visual AnalyticsНаглядное представление всех данных, выявление взаимосвязей, трендов и характерных особенностей, публикация отчетов в Интернете и работа с отчетами на мобильных устройствах.
SAS® Viya®Conquer your analytics challenges, from experimental to mission critical. SAS Viya extends the SAS Platform to enable everyone – data scientists, business analysts, developers and executives alike – to collaborate and realize innovative results faster.
С 1976 года компании по всему миру доверяют SAS.
Вас интересует решение SAS® Visual Statistics на платформе SAS® 9.4?
