SAS® Analytics Pro
SAS® ANALYTICS PRO
An easy-to-use, yet powerful package for accessing, manipulating, analyzing and presenting information.
Advanced statistical analysis and reporting. High-impact visuals. In one package that includes Base SAS, SAS/STAT and SAS/GRAPH.
Intuitive, fourth-generation programming language
Highly flexible, extensible 4GL with easy-to-learn syntax includes hundreds of language elements and functions that support programming – from data extraction, formatting and cleansing to data analysis, reporting and information storage.
Advanced statistical analysis with powerful SAS Analytics
Provides a wide range of statistical methods – including geolocation analysis with built-in mapping capabilities – that are updated frequently to reflect the latest methodologies.
Prebuilt library of ready-to-use procedures in a web-based environment
Streamlines programming, analysis and reporting – and improves programmer productivity and efficiency – by delivering significant functionality executed with a few simple commands.
Data visualization, presentation and delivery
Enables visual presentation of ideas and findings using a wide variety of business maps, charts, plots and 3-D relationship graphs.
Improve productivity with all the tools and methods needed for desktop data analysis – in one package.
Get analysis, reporting and easy-to-understand visualizations from one vendor.
Why piece together niche software packages from different vendors? A consolidated portfolio that includes three of our most popular products – Base SAS, SAS/STAT and SAS/GRAPH – reduces the cost of licensing, maintenance, training and support, while ensuring that consistent information is available across your enterprise.
Use innovative statistical techniques.
SAS statistical procedures are constantly being updated to reflect the latest advances in statistical methodology. And technical support is provided by experienced master's- and doctorate-level statisticians who deliver a level of service and knowledge not often found with other software vendors. SAS has more than four decades of experience developing statistical analysis software that organizations around the world rely on to provide accurate answers to data questions.
Integrate data and meet compliance mandates.
SAS software integrates into virtually any computing environment, so you can unify your computing efforts and get a single view of your data. You can produce repeatable code that's easily documented and verified for compliance. And analysts are freed to focus on analysis rather than data issues.
Easily create and share graphics and reports.
Build analytical-style graphs, maps and charts with any style of output that's needed. It's easy to create reports in standard office formats such as RTFs, PDFs, PowerPoint, HTML and e-books that can be read on the iPad® and iPhone®, so you can deliver analytic results where they're needed most.
Explore More on SAS® Analytics Pro & Beyond
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- Вебинар Динамические отчеты в SAS Visual AnalyticsНа этом вебинаре мы поговорим о лучших практиках и правилах разработки дизайна отчетов, а также применим их при создании отчета в Visual Analytics с нуля.
- Вебинар Оценка эффективности моделейНа данном вебинаре мы расскажем об аналитическом подходе к тарификации КАСКО на основе комплекса моделей машинного обучения. А также покажем, как с помощью SAS Visual Analytics можно представить результаты моделирования и бизнес-ограничения в интерактивном режиме.
- Customer Story Бразилия борется со страховым мошенничеством с помощью ИИ и аналитики.CNSeg полагается на SAS, чтобы препятствовать мошенникам, и повышает точность оповещения на 67%
- Customer Story Решения ритейлера создают привлекательные условия для клиентов с помощью data-driven маркетинга.Office Depot Europe стимулирует изменения, используя SAS Customer Intelligence 360 в качестве главного катализатора цифровой трансформации
- Article Почему менеджерам стоит позаботиться о качественном инструменте для прогнозированияТеперь, когда COVID-19 стал частью нашей реальности, жизненно важно планировать каждый аспект бизнеса. Мы наблюдаем бурный рост спроса на решения для прогнозирования, которые гарантируют последовательность, автоматизацию и повышенную точность.
- E-Book What's Next for Life Sciences?The unique challenges of the coronavirus pandemic forced life sciences companies to respond to change more rapidly than ever before. Only the companies that are nimble, innovative and able to act quickly – while maintaining regulatory and scientific standards – will succeed in addressing the immediate needs of the crisis and beyond.
- E-Book Government and education: Leading through changeIn this e-book, SAS has collected the wisdom and stories of government and education leaders who are rising to the challenges of our times and applying analytics to drive evidence-based decision making. These stories are relevant across all sectors because they each share innovative new ways to respond to a changing landscape.
- Аналитический отчет SAS is a Leader in the 2020 Gartner Magic Quadrant for Multichannel Marketing HubsSAS is a Leader in the 2020 Gartner Magic Quadrant for Multichannel Marketing Hubs.
- Аналитический отчет SAS is a Leader in the 2020 Gartner Magic Quadrant for Multichannel Marketing HubsSAS is a Leader in the 2020 Gartner Magic Quadrant for Multichannel Marketing Hubs.
- Article Взгляд дата-сайентиста на data literacyУзнайте мнение дата-сайентиста и преподавателя о ценности фундаментальных знаний, чтобы вам было легче отличить факты от вымысла.
- Article 3 типа пользователей, которым выгодно сотрудничество SAS и MicrosoftУзнайте о преимуществах для корпоративных пользователей, разработчиков и предпринимателей от нашей совместной работы с Microsoft.
- Customer Story SAS помогает Biocad выходить на высокорегулируемые международные рынкиSAS предоставляет Biocad систему для анализа клинических данных и формирования отчетности с высокой степенью детализации.
- Аналитический отчет SAS is a Leader in The Forrester Wave™: Multimodal Predictive Analytics & Machine Learning, Q3 2020.Forrester report states that products evaluated are SAS® Visual Data Mining and Machine Learning and SAS® Model Manager.
- Аналитический отчет Vendor Rating: SASSAS leads in several markets where it leverages its broad product portfolio, expertise in advanced analytics and partner ecosystem. SAS has been aggressive in driving AI and machine learning innovation in its portfolio. SAS Viya platform is a critical change that is cloud-ready and leverages open-source software.
- Аналитический отчет Worldwide Big Data and Analytics Software Market Shares, 2019: Investment in Data Continues In this compilation of IDC reports, SAS is ranked No.1 in worldwide revenue in Advanced and Predictive Analytics Software, and in the top five for Artificial Intelligence Software Platforms, Analytic Data Integration and Intelligence Software, Services Operations Analytic Applications and Customer Relationship Analytic Applications.
- Технический документ Four Elements of Sustainability AnalyticsDirectors at consumer-packaged goods manufacturers who embrace sustainability grow their revenue while improving lives and environmental outcomes.
- Аналитический отчет IDC MarketScape: Worldwide Advanced Machine Learning Platforms 2020 Vendor AssessmentSAS is a Leader in the IDC MarketScape: Worldwide Advanced Machine Learning Platforms 2020 Vendor Assessment.
- E-Book Formidable ForecastsWith artificial intelligence capabilities and traditional forecasting processes, it’s possible to create efficiencies by automating the production of large-scale time-series analyses and hierarchical forecasts.
- Технический документ Analytics for Everyone: Seven Tips for Promoting Analytics AdoptionChecklist Report on democratizing analytics.
- E-Book Resilience: The best way to beat coronavirusTo be truly resilient means proactively seeking ways to ensure operational and financial stability no matter the circumstances. In this e-book, we explore digital transformation’s role in reimagining the world beyond COVID-19; how operational agility builds resilience; the five pillars of organizational resilience and more.
- Технический документ 4Rs of Digital Farming: How SAS Is Advancing Precision AgricultureGrowers and agronomists aiming for higher production, greater profitability, more effective conservation or improved sustainability lean on “4R” nutrient stewardship (right source, right rate, right time and right place). The same 4R principles should apply to precision agriculture.
- Article Ситуационная осведомленность определяет нашу реакциюМногие обстоятельства требуют ситуационной осведомленности, то есть осознания того, что происходит вокруг. Пандемия COVID-19 усилила эту потребность, поскольку лидеры во всех отраслях использовали аналитику и визуализацию, чтобы получать ситуационную осведомленность в реальном времени и быстро реагировать на важные решения.
- Article Отслеживание контактов для целей общественного здравоохранения: технология способствует проведению эпидемиологических исследованийТо, что когда-то было трудоемким процессом, основанным на зачастую неполной или неточной памяти человека. Расследования по отслеживанию контактов для общественного здравоохранения теперь вошли в цифровую эру благодаря углубленной аналитике и визуализации данных.
- Article Реагировать, восстанавливать, переосмысливатьПотрясения в нашей жизни случаются регулярно, хотя большинство из них не такие далеко идущие, как пандемия COVID-19. Какова бы ни была их природа, полезно иметь план, как выйти из кризиса, пока вы еще в игре. Узнайте о трехфазном подходе, который рекомендует SAS для смягчения широко распространенных последствий.
- E-Book Becoming a data-driven organizationLearn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations.
- Аналитический отчет IDC MarketScape: Worldwide General-Purpose Artificial Intelligence Software Platforms 2019 Vendor AssessmentThis IDC MarketScape evaluated general-purpose AI platforms. General-purpose artificial intelligence software platforms provide the functionality to analyze, organize, access, and provide advisory services based on a range of structured and unstructured information.
- Customer Story Advancing mental health care with predictive analyticsCanada’s Centre for Addiction and Mental Health uses SAS Analytics to improve care and streamline hospital operations.
- Customer Story Using artificial intelligence to decode dance patterns of beesAmesto NextBridge and Beefutures use visual analytics and machine learning to help protect and support healthy bee populations.
- E-Book Streaming analytics: Life happens fast. Are your analytics keeping up?Download this free e-book to find out what streaming analytics is, the unique opportunities it can address and five key success factors for planning your streaming analytics program.
- E-Book Governments leading through changeIn this e-book, SAS has collected the wisdom and stories of the government agencies that are rising to the challenges of our times and applying analytics to drive evidence-based decision making. These stories are pulled from every sector of government and are relevant across all sectors because they each share innovative new ways to respond to a changing landscape.
- Article Как российские банки осваивают цифровую трансформацию и проявляют устойчивость к внешним влияниямЧитайте интервью с Алексом Квятковски, главным консультантом банковской отрасли SAS, о текущем и будущем состоянии российской банковской отрасли.
- Article Препятствий для построения моделей с помощью технологий искусственного интеллекта и машинного обучения нетМодели машинного обучения уже на протяжении пяти лет применяются российскими финансовыми организациями для оценки кредитного риска и валидации моделей. О том, насколько регуляторы готовы работать с моделями на базе технологий ИИ и машинного обучения, и пойдет речь в данном интервью.
- Article 5 способов измерить здоровье улья с помощью аналитики и потоковых данныхТакой аналитический подход к пониманию здоровья пчелиных ульев может автоматически предупреждать пчеловодов об изменениях в весе улья, температуре, летной активности и многом другом.
- Article Использование Python в решениях SAS Intelligent Decisioning 5.4Начиная с версии 5.3, у пользователя появилась возможность легко встроить скрипт Python в решение SAS ID. Теперь Python исполняется в MAS без необходимости дополнительной обёртки в DS2 - узел кода Python сделает это за вас.
- Технический документ Artificial Intelligence in Banking and Risk ManagementGlobal Association of Risk Professionals (GARP) and SAS survey drew more than 2,000 responses from across the financial services industry to answer questions about the current and future state of AI in risk.
- Аналитический отчет Многоканальный маркетинговый хаб от SAS вновь в числе лидеров магического квадранта GartnerМногоканальный маркетинговый хаб от SAS вновь в числе лидеров магического квадранта Gartner
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- Технический документ Understanding Data Streams in IoTThis paper explains how streaming analytics helps you acquire, understand and use real-time, streaming data to make fact-based, automated decisions – and instantaneously react to new information.
- E-Book What’s the new normal in health care?Even before the COVID-19 crisis, health care was changing. But the urgency of the pandemic accelerated change in health care delivery, resource optimization, data-driven thinking and decision making, and much more.
- Технический документ Using Agriculture Analytics to Improve Field TrialsCutting-edge research and development firms can operationalize streaming weather data, multidimensional observations and volumes of drone-collected data. But most product developers struggle to capture a fraction of their data’s value.
- Технический документ Workforce AnalyticsThis paper explores how government HR functions can use advanced analytics, machine learning and AI to develop effective plans to meet hiring, retention and performance goals.
- Аналитический отчет SAS is a Leader in The Forrester Wave™: AI-Based Text Analytics Platforms (People Focused), Q2 2020Forrester names SAS a Leader in The Forrester Wave™: AI-Based Text Analytics Platforms (People Focused), Q2 2020
- Аналитический отчет SAS is a Leader in The Forrester Wave™: AI-Based Text Analytics Platforms (Document Focused), Q2 2020Forrester names SAS a Leader in The Forrester Wave™: AI-Based Text Analytics Platforms (Document Focused), Q2 2020.
- Customer Story Как обеспечить безопасность пациентов с психическими расстройствами во время пандемии?SAS delivers dashboard to monitor COVID-19 in the Copenhagen Regional Psychiatric Centers.
- Customer Story Curbing traffic accidents and saving lives with machine learningArtificial intelligence and cloud computing make roads safer in Western Australia.
- Customer Story Revolutionizing marketing campaigns with AIAlliant relies on machine learning to create qualified marketing audiences for its clients.
- Article Спасти жизнь в период пандемии, оптимизируя медицинские ресурсыCleveland Clinic внедряет аналитику для борьбы с COVID-19, создавая инновационные модели, которые помогают прогнозировать количество пациентов, коек, доступность медицинского оборудования и многое другое.
- Вебинар Новый всплеск страхового мошенничества после COVID-19Вебинар основан на богатом практическом опыте SAS в области создания Аналитических Антифрод-систем для российских и международных страховых компаний.
- Customer Story Снижение уровня внутрибольничных инфекций с помощью искусственного интеллекта.Hospitals in the Region of Southern Denmark aim to increase patient safety using analytics and AI solutions from SAS.
- Article Как будет изменена система здравоохранения после принятия закона "О защите прав человека" (COVID-19)?Many market forces are supporting the transformation to virtual digital health programs -- the COVID-19 pandemic is just the latest compelling event.
- Технический документ Heavy Reading: Advanced Predictive Network AnalyticsHeavy Reading reveals how predictive analytics gives service providers real-time visibility into their networks – boosting revenue potential and ensuring more satisfied customers, better targeted marketing, fine-tuned capacity planning and top-notch service assurance.
- Технический документ Text Analytics in GovernmentHow can federal, state and local government agencies capture, manage, and use the massive volumes of unstructured text data available to them? This paper explores how agencies can invest in technologies such as text analysis to help them unlock insights hidden in their "big data."
- E-Book The new analytics ecosystemMany organizations are struggling to evolve their current analytics ecosystem, with disparate groups working across multiple technologies and tools. We surveyed more than 1,000 organizations to determine their level of adoption of technology to evolve their analytics ecosystem. In this e-book, you’ll learn the results of our survey and the three approaches to analytics that deserve your attention
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Технический документ
Machine Learning Use Cases in Financial Crimes
Learn 10 proven ways machine learning can boost the efficiency and effectiveness of fraud and financial crimes teams – from data collection to detection to investigation and reporting.
- Article Борьба с коронавирусом: 4 аналитических способа, которые помогут изменить ситуацию в лучшую сторонуКоронавирус отделил нас от семьи, друзей, культурных и религиозных сообществ. К сожалению, изоляция необходима для замедления распространения вируса. Что еще можно сделать? Узнайте, как используется аналитика для борьбы с последствиями COVID-19.
- Article Действовать как лидер рынкаЧто такие компании, как Netflix, Airbnb, Spotify и LYFT знают об аналитике, чего не знаете вы? Узнайте, как стать технологически и аналитически зрелыми, как и они.
- Технический документ Getting Value From Your Data ScientistsSimply hiring expensive data scientists isn’t enough. To create real business value with data scientists, top management must learn how to manage them effectively.
- Технический документ ModelOps: Maximizing Value Across the Analytics Life CycleLearn how “ModelOps,” an emerging analytics methodology, can help organizations operationalize the full analytics life cycle at scale.
- Article Визуализация данных для отслеживания распространения коронавирусаSAS считает, что в такое нестабильное время очень важно иметь надежные источники информации о вирусе. Поэтому SAS создал отчет, который отображает состояние, местоположение, распространение и анализ тенденций развития коронавируса.
- Article Гуманность в искусственном интеллектеЧто происходит, когда искусственный интеллект и люди работают вместе во имя решения глобальных проблем?
- Article Почему аналитическая совместимость важна в здравоохранении?Поскольку облачные технологии теперь более доступны для индустрии здравоохранения, никогда еще не было лучшего времени для взаимодействия во всех аспектах медицинской помощи.
- Технический документ How AI Changes the RulesReaping the benefits of AI will require changes in workplace structures, technology strategies and technology governance. Read on to learn more about the changes that leaders must prepare for to successfully implement trusted AI.
- Article Аналитика как инструмент для борьбы с зависимостью от рецептурных сильнодействующих препаратов и незаконно приобретенных наркотических веществШтаты и подразделения Medicaid, осуществляющие мошеннический контроль, теперь имеют аналитические инструменты, необходимые для изменения траектории кризиса опиоидов путем анализа данных и прогнозирования проблемных точек - будь то у пациентов, врачей, дистрибьюторов или производителей. Инструментарий от УГИ с бесплатным программным кодом SAS® делает это возможным.
- Series Use of data visualization and analytics in education is growingEducators use analytics for education to make better decisions on programs, student outcomes and more. Learn how you can, too.
- Series Use education dashboards to publicize the value of analyticsHow can education institutions show the effectiveness of their analytics and visualizations? Think about publicizing your key dashboards.
- Series Tips for making the most of your analytics softwareEducators need insights from their data. Learn how to harness big data in education using analytics software.
- Аналитический отчет В 2020 году SAS снова занял ведущую позицию в Gartner Magic Quadrant для платформ Data Science & Machine LearningSAS седьмой год подряд занимает ведущую позицию рейтинга Gartner Magic Quadrant для платформ Data Science & Machine Learning
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- Article Keeping an open mind about open analyticsSome of the smartest data science teams are using SAS alongside open source analytics. Find out how you can use both and deploy all models consistently.
- Технический документ Faster Insights from Faster DataExamines where organizations are facing barriers to getting relevant data into the right condition for analytics, for developing artificial intelligence (AI) programs, and for delivery to users who need insights in time to solve business problems.
- Article Прохождение «последней мили» аналитики в три шагаВнедрение аналитических моделей в производство может быть самой сложной частью аналитического пути. Неудивительно, что эта последняя миля аналитики - внедрение моделей в развертывание - является самой сложной частью инициатив в рамках цифровой трансформации, которую должны освоить компании, потому что она считается наиболее важной.
- Customer Story Filling the business analytics skills gapThe University of Alabama graduates students capable of solving big, messy, real-world business challenges
- Технический документ Using a Hybrid Open Source and Commercial Analytics EcosystemAs more companies make the move to advanced analytics such as machine learning, they will need to decide whether to use open source, commercial products, or a combination of the two. An analysis in this TDWI report shows there are benefits to utilizing both.
- Article Операционализация аналитики: 4 способа эффективного прохождения банками «последней мили»Здесь четыре примера из банковской индустрии, которые показывают, как ведущие организации следуют четко определенному плану, чтобы покорить ту самую 'последнюю милю' аналитики.
- Аналитический отчет IoT Solutions World Congress 2019: The Value Is in the DataIOT Solutions World Congress 2019 was a turning point in the evolution of IoT deployments, with organizations like SAS showing real, scalable deployments of IoT solutions combined with AI.
- E-Book Analytics Really Do MatterThis LNS Research report explores the results of the 2018 Analytics That Matter survey and the unexpected (and interesting) responses from companies on their journey toward digital transformation.
- E-Book 5 Steps to Accelerate Value From Your Industrial IoT Data This e-book features five steps industrial leaders can follow to get more value from IIoT data. It describes how to craft a comprehensive IIoT strategy, what to look for in an edge-to-enterprise analytics solution, and how to evaluate IIoT solutions.
- Customer Story Достижения в области здравоохранения, основанные на анализе ДНКВ генетическом исследовании на уровне сообществ для улучшения здоровья населения штата Невада используются машинное обучение SAS и искусственный интеллект.
- Технический документ SAS® Results Delivers ValueSAS Results combines the expertise of SAS experts with the company's leading analytics platform to give you deeper insights into your data landscape.
- E-Book Innovation: From data to businessReport on findings from a global expert interview study on the topic of analytics driven innovation; Peer insights to help navigate the journey from data to innovation.
- Article Как прошел хакатон SAS и «Утконос ОНЛАЙН» SAS Data Hack PlatypusКрупнейший игрок e-grocery, лидер рынка аналитики и факультет компьютерных наук НИУ ВШЭ провели открытый конкурс на лучшую прогнозную модель.
- Customer Story Artificial intelligence and IoT analytics keep aircraft operational for crucial missionsLockheed Martin revolutionizes aircraft maintenance with the SAS Platform.
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Технический документ
TDWI Checklist Report | Six Best Practices to Ignite the Customer Experience with IoT
The IoT extends digital customer experience to physical customer experience and customer journeys for ultimate brand distinction. This TDWI Checklist Report, sponsored by SAS, outlines six best practices for data professionals and practitioners when using IoT to improve customer experience.
- Article ModelOps: непрерывное управление жизненным циклом моделиModelOps – методика бесперебойной интеграции аналитических моделей в бизнес, когда модели, созданные командой аналитиков, реализуются в ИТ окружении компании в условиях внесения регулярных изменений и обновлений.
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Технический документ
Data Management for Analytics: Five Best Practices
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
- Customer Story Cancer treatment enters a new era with artificial intelligenceAmsterdam UMC uses the SAS Platform and AI solutions to increase speed and accuracy of tumor evaluations.
- Article Машинное обучение и искусственный интеллект в дивном новом миреКак взаимодействует человек и машина в дивном новом мире с ИИ?
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Технический документ
Operationalizing Analytics for Business Value
Although organizations put considerable emphasis, investment and resources into the model development stage of the analytics life cycle, operationalizing the model is often overlooked. That can lead to project failure or increase the amount of time needed to deploy a model.
This TDWI Pulse Report focuses on operationalizing analytics models in order to help organizations take action and gain value.
- Customer Story SciensanoПовторное использование высококачественных исследовательских данных по всему миру
- Аналитический отчет SAS takes Event Stream Processing to Cisco's edge for Internet of Things stackSAS and Cisco work together to enable IOT type analytics from the edge of the network to the data center to the cloud, according to 451 Research.
- Аналитический отчет 5 Pitfalls to Avoid When Designing an Effective Data and Analytics Organization In this research report, Gartner examines five major pitfalls that significantly inhibit the design of an effective data and analytics organization, then discusses practical steps that data and analytics leaders can take to avoid them.
- Аналитический отчет Bloor InBrief: SAS Event Stream ProcessingLearn why Bloor considers SAS a major contender in the market for streaming analytics platforms due to SAS’ differentiating analytic capabilities, notable performance and continuous improvement of in-stream models using machine learning.
- Аналитический отчет IDC Perspective: Highlights from the 2018 European SAS Conference for Industry AnalystsThis IDC Perspective summarizes key takeaways from the annual European SAS Conference for Industry Analysts.
- Аналитический отчет Bloor Market Update: Streaming AnalyticsLearn why Bloor considers SAS a major contender in the market for streaming analytics platforms due to SAS’ differentiating analytic capabilities, notable performance and continuous improvement of in-stream models using machine learning.
- Аналитический отчет Top Strategic IoT Trends and Technologies Through 2023In this report, Gartner examines 10 longer-term IoT technologies and trends that will be important in the 2018 through 2023 time frame.
- Аналитический отчет SAS is a Leader in The Forrester Wave™: Streaming Analytics, Q3 2017Streaming analytics are critical to building contextual insights for IoT, mobile, web and enterprise applications. Read the report to learn more.
- Аналитический отчет How Data Science Teams Leverage Machine Learning and Other Advanced AnalyticsGartner's 2017 customer reference survey for data science and machine learning platforms reveals how many organizations are undertaking data science initiatives.
- Аналитический отчет SAS Dives Deeper into IoT AnalyticsIDC reviews the the latest release of SAS Analytics for IoT, a simplified offering aimed at helping customers monetize the value of their IoT data.
- Аналитический отчет SAS is a Leader in The Forrester Wave™: Enterprise Insight Platforms, Q1 2019 Forrester names SAS a Leader in The Forrester Wave™: Enterprise Insight Platforms, Q1 2019
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Технический документ
What Management Must Know About Forecasting
Explore why forecasts are often wrong and learn about ways to improve them.
- Article Демо глубокого обучения для обнаружения опухолей печени при КТ-сканированииЭто пятый и последний пост в моей серии постов о модели глубокого обучения, которую я разработала для обнаружения опухолей в 3D КТ-сканировании печени. Эта статья посвящена точности модели и финальной демонстрации проекта.
- Article Доработка модели глубокого обучения для обнаружения объектовЭто четвертый пост в моей серии публикаций о проекте компьютерного зрения, над которым я работала, чтобы идентифицировать опухоли печени при КТ-сканировании.
- Article Построение передней части пайплайна компьютерного зренияЭто третий пост, описывающий проект компьютерного зрения, над которым я работала в SAS для выявления опухолей печени при КТ-сканировании. Сегодня я расскажу об обработке данных для данных изображений.
- Article Использование глубокого обучения для сегментации опухоли в медицинских изображенияхЭто второй пост в моей серии о проекте компьютерного зрения, над которым я работала в SAS. В моем предыдущем посте я рассказала о своем первоначальном исследовании и переживаниях по поводу проекта. В этой статье я расскажу, как доработала цели и начала работу над проектом по сегментации опухолей печени в 3D КТ-сканировании.
- Article Как использовать ИИ для выявления ракаНедавно мне предоставили удивительную возможность поработать над проектом в области биомедицинской аналитики изображений в сотрудничестве с крупным университетским медицинским центром. Целью проекта была разработка системы компьютерного зрения, которая будет выявлять опухоли при компьютерной томографии печени.
- Article 10 ways analytics can make your city smarter From child welfare to transportation, read 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
- Interview 5 questions about open analytics Learn how one analytics team uses a combination of open source and enterprise analytics to find innovative solutions to complex problems.
- Article How to add analytics to your application development pipelineHow can you improve time to market for apps, improve analytics inside apps and let app developers focus on what they do best? With an open analytics platform.
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Технический документ
Risk Adjustment in Health Care Government Programs
With advanced analytics and machine learning, health care organizations can be more timely and confident in their risk adjustment programs, more effectively managing the cost of care and building a stable annual financial portfolio.
- Customer Story AI-driven personalization gives electronics retailer a boostConrad Electronic использует решения SAS для клиентской аналитики, чтобы создавать актуальные предложения в режиме реального времени.
- Customer Story Building customer satisfaction with better network monitoringКак SAS Analytics помогает крупной телекоммуникационной организации анализировать трафик, предупреждать возникновение проблем и улучшать обслуживание клиентов.
- Article День стажера 2019В середине апреля состоялся второй День стажера в истории SAS Россия. На мероприятие были приглашены ребята, которые успешно справились со всеми этапами отбора и уже приступили к стажировке в компании. Цель встречи – рассказать о структуре компании и её целях для расширения кругозора в аспекте SAS, а также понимания личных перспектив роста. Более того, День стажера – это возможность узнать своих коллег поближе.
- Article Митапы: стажеры могут ближе познакомиться с потенциальными работодателямиЭто новый формат мероприятий в рамках Стажерской программы SAS, где стажеры встречаются с представителями компаний разных отраслей. Позади уже две такие встречи.
- Article Студенты Высшей Школы Экономики в офис SAS25 февраля студенты с факультета компьютерных наук посетили SAS. Наши эксперты рассказывали о компании, аналитике, задавали вопросы с подвохом, на которые ребята быстро, а, главное, правильно отвечали.
- Article Экскурсия студентов факультета математики ВШЭ в офис SASРепортаж с экскурсии студентов факультета математики ВШЭ в российский офис и инновационный центр SAS.
- Article Пять технологий искусственного интеллектаОт машинного обучения до компьютерного зрения. Эти технологии подпитывают всеобщее помешательство на ИИ.
- Article Как использовать данные, чтобы изменить мирОрганизации по всему миру используют данные, чтобы изменить мир к лучшему. Это привело к новым способам решения проблем, связанных с образованием, бедностью, здоровьем, правами человека, окружающей средой и другими сферами жизни.
- Article Как строится сотрудничество между НИУ ВШЭ и SAS РоссияВ рамках SAS Forum Russia 2019 обсуждалось взаимодействие между университетом и бизнесом, а также подготовка наиболее сильных и подходящих для рынка кадров на панельной дискуссии в секции «Мост между бизнесом и университетами: Академическая программа SAS».
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E-Book
Make every voice heard with natural language processing
Natural language processing: The communication link between human and machine intelligence.
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Технический документ
SAS® in the Open Ecosystem
Analytics professionals can create, experiment, test and deploy analytics using different methods, languages and skill sets – within one cohesive platform – while IT can easily govern all analytical assets in a centralized manner and scale big data processing power as needed.
- Customer Story Advanced analytics can detect and prevent insurance fraud before losses occur | SAS
- Customer Story Zeroing in on property values with machine learningArtificial intelligence improves assessment accuracy and productivity in Wake County.
- Customer Story IoT data with artificial intelligence reduces downtime, helps truckers keep on truckingVolvo Trucks and Mack Trucks use sensor data and SAS AI solutions to minimize unplanned downtime.
- Customer Story Технология производства, основанная на прозрачности данныхVecima Networks optimizes its production process with SAS Visual Analytics.
- Customer Story Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
- Customer Story Building supplier nails inventory managementTravis Perkins uses supply chain analytics from SAS to optimize inventory across its 2,000 stores.
- 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 Digital retailer bags record sales with analyticsShop Direct delivers award-winning, personalized customer experiences with SAS.
- Customer Story Поиск лучших клиентов с помощью аналитикиSeacoast Bank enhances customer value using AI and SAS Visual Analytics on SAS Viya.
- Customer Story Как улучшить клиентский сервис с помощью машинного обученияAdvanced analytics helps Rogers Communications become more customer-centric, cutting customer complaints in half.
- Customer Story Partnership delivers powerful lessons for energy retailerRed Energy uses SAS Results to help launch its battery and solar operation.
- Customer Story Accelerating the evolution of risk analyticsRaiffeisenlandesbank Niederösterreich-Wien AG gains speed and accuracy with SAS High-Performance Risk.
- Customer Story Electric co-op forecasts demand and transmission needs NOVEC, a regional electricity cooperative, relies on SAS to forecast demand for power as well as for future infrastructure needs.
- Customer Story Making faster, better lending decisionsLocal Government Federal Credit Union sees efficiency gains with SAS.
- Customer Story Identifying potential trouble spotsFlorida DOC turns to SAS Analytics to help improve citizen safety.
- Customer Story Оптимизация автобусных маршрутов помогает сократить расходы школBoston Public Schools uses SAS Analytics to consolidate stops, improve student experience and save money.
- Customer Story Finding a smarter way to manage large data setsOptimizing for efficiency and profitability, CBE Group finds smarter ways to manage large data sets with SAS.
- Customer Story Healthier lives for our four-legged friendsAgria uses SAS to provide better care for pets and peace of mind for their owners.
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Технический документ
How to Do Deep Learning With SAS®
Get an introduction to deep learning techniques and applications, and learn how SAS supports the creation of deep neural network models.
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Технический документ
Data Analytics at the Edge
451 Research explores the value of diverse IoT data that is processed and analyzed at the edge in environments like T&D facilities, oil fields and manufacturing shop floors.
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Технический документ
Seven trends that will transform banking
Advanced analytics and big data are enabling smarter decisions and more efficient processes, from credit to compliance and risk management.
- Article Этика ИИ: 3 шагаБудет ли искусственный интеллект полезен человечеству или приведет к ряду нежелательных последствий? Этика ИИ может быть одним из гарантов использования искусственного интеллекта во благо.
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Bringing the Power of SAS to Hadoop
Want to get even more value from your Hadoop implementation? Learn about the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop.
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Технический документ
Redefine Your Analytics Journey With Interactive Data Exploration and Predictive Analytics
What 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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Технический документ
Using Analytics With Open Data to Build a Stronger Government
Learn how governments can use open data and SAS to pinpoint, analyze, solve and predict problems and uncover new opportunities.
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E-Book
How Any Size Organization Can Supersize Results With Data Visualization
Everyone 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.
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Технический документ
Data, analytics and machine learning: The new frontier of fraud prevention
The Economist explores how global financial institutions are using advanced technologies such as machine learning to support fraud and security intelligence.
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Технический документ
A history of hacking
The Economist explores the history of hacking and the evolution into today’s cybersecurity and fraud disruptions.
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E-Book
How to Maximize the Impact of Your Analytics
Find out the results of our latest research, which revealed that the use of analytics is continuing to evolve in most organizations and that many organizations are on the path to using analytics strategically.
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Технический документ
Refactoring Analytics for the Cloud
Fast-track selected analytics into the could by leveraging expertise, using the latest methods, and focusing on the end state. Find ways to create more business value with analytics in the cloud – and ways to get there faster.
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Технический документ
The secret to IT success? Enabling choice and control
SAS can support an organziation's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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Технический документ
Operationalizing Analytics: What Is State-of-the-Art in Health Care and Life Sciences?
The potential for analytics to transform health care – to make it more personalized, intelligent, cost-efficient and effective – is immense. The question is, how will you move your organization forward to exploit the power of analytics?
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Технический документ
The Autonomous Grid in the Age of the Artificial Intelligence of Things
Explore how AI and IoT work together to deliver everything from improved threat detection to better customer engagement for utilities.
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E-Book
Building your data and analytics strategy
Launch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly
data-driven. -
Технический документ
Data, Analytics & AI: How Trust Delivers Value
The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights.
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Технический документ
The Artificial Intelligence of Things
We’re living in a world that has more connected devices than humans. See how AI amplifies the value and potential of this fast-growing Internet of Things.
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Технический документ
The 3 R’s of AI Adoption: Refactor, Reinvent, Reimagine
Learn how organizations are using AI to refactor, reimage and reinvent business as usual. Understand the relative impacts on business process, analytics and data practices, and DevOps at each level of adoption.
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Технический документ
Open Source for Analytics: Trends, Opportunities and Challenges
At TDWI, we see increasing interest in open source for analytics. In a recent survey, the majority of those planning advanced analytics projects are planning to do so using open source analytics technology, such as R and Python.
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Аналитический отчет
RSR Merchandising & The Omnichannel Impact
This RSR custom research report explores the impact of omnichannel methods on merchandising, marketing and the supply chain; specifically, what analytical capabilities address the challenges that omnichannel selling and fulfillment pose for retailers.
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Технический документ
TDWI Checklist Report: Gaining Business Value from Governed Analytics and Discovery
Discover the seven steps your organization can follow to apply a balanced governance strategy as you expand your use of self-service visual analytics and discovery in this TDWI Checklist.
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Технический документ
SAS Analytics and Open Source
Explore how organizations balance open source solutions along with commercial software to meet the requirements for statistical analysis, both within their organizations and externally with regulatory bodies.
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Технический документ
Persuading With Data
This HBR Insight Center report examines best practices for using graphics, data and storytelling to make business cases, get organizational buy-in, train talent and win customers. Topics will include selecting the most relevant and compelling metrics, emerging practices and common pitfalls of data visualization and more.
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Технический документ
Making Big Data Actionable
This Harvard Business Review webinar explores how organizations can make big data useful and profitable by embedding analytics into business processes. Readers will learn how to find and communicate new insights more easily with compelling data visualization tools and techniques.
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Технический документ
From Data to Action
This Harvard Business Review Insight Center report examines what your data may or may not be telling you. Featuring 30 articles from researchers and practitioners in data science, marketing, and other fields, the report offer guidelines on making good use of information and turning it into profitable behaviors.
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Технический документ
The Analytics Mandate: The Best Products Are Made With Insights
To be successful, CPG companies must work with their retailer partners to maximize online awareness while minimizing its impact on other channels. As global consumption increases, investments must be managed in emerging markets while maintaining market share in mature markets. For CPG companies, it’s a constant balancing act and more than ever analytics is needed to gain business advantage.
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Технический документ
Accelerating the Path to Value with Business Intelligence and Analytics
Organizations need to accelerate the pace with which they realize business value from data. The focus is on improving “time to value,” which is the length of time it takes from the beginning of a project to the delivery of anticipated business value.
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Технический документ
Predictive Analytics in Practice
This Harvard Business Review Insight Center report features 25 articles focusing on how to use predictive analytics in decision making and planning. Look at emerging best practices in the field, as well as examples of companies that use analytics in particularly innovative ways.
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Технический документ
TDWI Checklist Report: Seven Steps for Executing a Successful Data Science Strategy
This TDWI Checklist Report describes seven steps to get started on the path to a successful data science strategy. Data science is a hot topic among business and IT leaders. However, excitement about its potential benefits is tempered by the difficulty of finding, hiring and training data science personnel – not to mention defining the term within the context of your organization
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Технический документ
The Risks and Rewards of AI
Exploring the rise of AI, Harvard Business Review has published a collection of articles assessing the opportunities and pitfalls that could evolve, with discussions on the innovative uses of data and analytics, industry adoption, impacts to human work, and the factors of business change.
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Технический документ
The impact of data and analytics on local government
Globally, data and analytics usage for local governments is on the rise. From planning to operational impact, municipalities benefit from data-driven decision making and data sharing. And the ultimate winners are its citizens, offering better use of taxpayer funding and improved living conditions.
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Технический документ
SAS®: A Comprehensive Approach to Big Data Governance, Data Management and Analytics
SAS puts you in charge of burgeoning big data governance issues. See how in this paper by Sunil Soares.
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Технический документ
Prepare Your Organization to Capitalize on Predictive Analytics
High-performing organizations take advantage of the power of analytics by channeling their efforts in four areas: focus, adopt, adapt and activate. This Harvard Business Review paper describes how to succeed in those areas, and overcome the barriers that get in the way of an ROI in analytics.
- Технический документ Eight Steps for Using Analytics to Gain Value from Text and Unstructured ContentThis TDWI Checklist Report discusses the relevance of text analytics for improving user experiences with the semi-structured and unstructured textual big data now at their disposal.
- Технический документ From Value to Vision: Reimagining the Possible with Data Analytics
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Технический документ
Sales & Marketing Report 2017 - The Digital Experience
CGT’s Sales & Marketing Report 2017, sponsored by SAS, looks at progress on several key topics, including supply chain, trade promotion, direct-to-consumer marketing, data and analytics, security and the digital enterprise.
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E-Book
Enrich Your Data With Location Analytics
Location is more than a point on a map. It is a pathway to growth and better service. Matching up location information with big and little data can revolutionize business practices. Learn more in this e-book.
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Технический документ
Big Data at Work
This Harvard Business Review Key Learning Summary explains how to capitalize on the data you already have and how to integrate big data into everyday business operations.
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Технический документ
Leveraging data successfully for development
The Economist Intelligence Unit conducted a survey of global data scientists and professionals on their use and interest in data analytics. One of the key themes from the research was the desire to improve development using data – ranging from policymaking to education and health care.
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Технический документ
Achieve Business Agility and Realize Big Data Value with Cloud Analytics
When coupled with a solid strategy, cloud analytics can play an
instrumental role in helping organizations realize big returns on big
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Технический документ
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing
The global excitement around the latest advancements in artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) technologies has increased with the evolution of computing power.
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Технический документ
Next-Generation Analytics and Platforms
What if you could move from data visualization to big data visualization? From slicing and dicing data to using analytics to predict outcomes? From using more than just structured data for analysis? This TDWI Best Practices Report focuses on how organizations use next-generation analytics to achieve this and more.
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Технический документ
Using Big Data to Enable the Omnichannel Retail Experience
As trends in consumer buying patterns continue to evolve, retailers need solutions that can derive deep data analytic insights to provide a more sophisticated, centralized view of their customers’ preferences and buying journeys.
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Технический документ
Predictive Analytics: Revolutionizing Business Decision Making
This TDWI e-book explores predictive analytics from several perspectives. First, it offers Q and A on the value, use and requirements of predictive analytics. Then, it explores three safeguards to help you avoid model-building problems.
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Технический документ
From chaos to coherence: Managing pandemics with data
Based on a survey by The Economist Intelligence Unit on the use of data and analytics, professionals in the public and private sectors around the world viewed health care as the industry with the greatest potential to benefit from data analytics. In fact, the global sharing of health care data means most are optimistic about preventing future pandemics, and they want businesses to work closer with government entities to share health care data for the greater good.
- Технический документ Analytics in Sports: The New Science of Winning
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Технический документ
Drive Next-Generation Customer Experiences with Real-Time Connected Product and Service Analytics
SAS, Hortonworks and Intel can help you embrace technologies and processes to anticipate a wide range of customer needs, providing the foundation for next-generation customer experiences.
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Технический документ
The Evolution of Analytics
Learn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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Технический документ
Analytical Execution for Today's Mid-Sized Enterprise
An Aberdeen Group research report
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Технический документ
BI, Analytics, and the Cloud: Strategies for Business Agility
This TDWI Research report examines organizations’ experiences with, and plans for, cloud BI and analytics, new cloud models, and what should be considered when moving to the cloud.
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Технический документ
Leadership and Big Data Innovation
A Harvard Business Review Key Learning Summary
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Технический документ
Machine learning and artificial intelligence in a brave new world
Machine learning in the last few decades has given way to an AI revolution. From self-driving cars to virtual assistants, learn more about the endless possibilities for these developing technologies.
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Технический документ
Cognitive Computing: Analytics and Beyond
With the addition of text and sentiment analytics, predictive modeling and sentiment prescriptive analytics, analytics has taken another leap forward. This paper, by Sue Feldman of Synthexis, explains how cognitive computing helps you understand ambiguous problems while adding accessibility to data for more users.
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Operationalizing and Embedding Analytics for Action
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value.
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Технический документ
Drive Next-Generation Performance With Real-Time Connected Manufacturing
This special report sponsored by SAS, Intel and Hortonworks explores how manufacturers are capitalizing on the promise of the IoT, creating new value streams and revolutionizing the relationship with markets.
- Технический документ Business Analytics -- Six Questions to Ask About Information and Competition
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Технический документ
The Next Analytics Age: Machine Learning
What management and leadership challenges will the next wave of analytic technology bring? This SAS-sponsored Harvard Business Review Insight Center on HBR.org went beyond the buzz to talk about how machine learning will change companies and the way we manage them.
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Технический документ
The Analytics Arms Race: May the Best Insights Win
Industry leaders CGT and RIS have joined forces for this annual check on the analytics maturity level in CPG and retail.
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Технический документ
Analytics and IT
A Harvard Business Review Key Learning Summary
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Технический документ
Improving disaster response efforts through data
This article explores the use of data and analytics in areas of social and economic development, including disaster management. The article was created with data from a survey by The Economist Intelligence Unit of data scientists and professionals in the public and private sectors globally.
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Технический документ
Eight Considerations for Utilizing Big Data Analytics with Hadoop
This paper focuses on eight considerations when it comes to applying big data analytics to extract value from Hadoop. Readers will learn about the importance of in-memory analytics, how to optimize the data preparation processes and the skill sets needed to derive benefits from Hadoop.
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Технический документ
Inside Sports Analytics
10 lessons that Thomas H. Davenport, Independent Senior Advisor for Deloitte Analytics, uncovered in research conducted on more than 25 professional teams effectively using analytics to improve performance and decision-making.
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Технический документ
Rethinking Enterprise BI to Fit a Self-Service World
Seven steps for improving user productivity and solving enterprise governance and quality challenges.
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Технический документ
The Democratization of Analytics
International Institute for Analytics summarizes key questions and answers about grass-roots analytics and the business opportunities and challenges that go with this phenomenon.
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Will Your Evolving Business Intelligence Strategy Make It or Break It?
A discussion summary from International Institute for Analytics
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Технический документ
Business Intelligence and Analytics Capabilities Report
This report, written by the International Institute for Analytics and sponsored by SAS, examines the relationship between business intelligence (BI) and advanced analytics (AA) in large organizations. The report is based on a survey of midmarket and enterprise businesses about their current BI environments and AA capabilities, including analytics skills and self-service options. Read this report to learn more about the biggest barriers to adoption for BI and AA, the best investments for both, common pitfalls, and how to increase analytics maturity and adoption in your company.
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Технический документ
IoT Analytics in Practice
this paper will help business decision makers make informed investment decisions about the future of their own IoT analytics projects
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Технический документ
The Talent Dividend
Today’s organizations understand the value of competing with analytics. But this understanding has triggered a demand for analytics talent that far exceeds supply. Many companies are struggling to attract and retain the talent needed to build competitive advantage. This research report explores the success factors of data-oriented companies who are cashing in on their talent dividends. Discover the hallmarks of analytical maturity and see how your plan for developing, cultivating and retaining analytical talent stacks up.
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Технический документ
Using Analytics to Improve Customer Engagement
The MIT Sloan Management Review's eighth annual Data & Analytics Global Executive Study and Research Report has released its latest findings regarding organizational use of analytics. Innovators continue to glean analytical insights, noting the use of data from multiple sources including customers, vendors, regulators and, in some cases, competitors.
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Технический документ
The Autonomous Grid: Machine Learning and IoT for Utilities
Machine learning and the IoT have the power to create an increasingly autonomous grid that can eventually handle billions of endpoints on utility networks. But is the industry truly maximizing the benefits of either technology? Find out in this report.
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Технический документ
Beyond the Hype: The Hard Work Behind Analytics Success
Why competitive advantage from analytics is declining and what to do about it
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Технический документ
Text Analytics 2014: User Perspectives on Solutions and Providers
This report looks at why and how text analytics has found success in industries such as consumer-facing businesses, public administration and government, life sciences and scientific research. It also shares the findings of a comprehensive market study focused on user experiences with the technology.
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Технический документ
What Makes a Data Scientist Great?
A collection of interviews with top data scientists, who talk about problem solving, creative approaches to data, tenacity and the surprising importance of relationships.
- Технический документ The Analytics Mandate
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Технический документ
In-Memory Analytics: Get Faster, Better Insights from Big Data
This QA with Tapan Patel, Global Product Marketing Manager at SAS, provides a great overview of in-memory analytics.
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Технический документ
Analytics as a Source of Business Innovation
Competitive advantage from analytics is changing, and for the better. For the first time in four years, MIT Sloan Management Review found an increasing ability to strategically innovate with analytics based on interviews with more than 2,600 practitioners and scholars globally.
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Технический документ
Text Analytics: Unlocking the Value of Unstructured Data
This research brief from the International Institute for Analytics and SAS outlines the challenges of implementing text analytics solutions and explores what makes this technology unique and exciting.
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Технический документ
Minding the Analytics Gap
This MIT Sloan Management Review explores the gap between an organization’s capacity to produce analytical results and its ability to apply them effectively to business issues. The research highlights how managers can become more comfortable making decisions based on complex analytical insights that they do not yet fully understand. It also explores the difficulty this complexity poses for analytical innovators, who must continue to elicit business value from analytics in order to maintain competitive advantage.
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Технический документ
Watching out for Worst Practices
Based on results from an IDG Research Services study, this paper explores how organizations are leveraging unstructured data – and what they must avoid.
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Технический документ
Using Next-Generation Advanced Analytics to Harness Big Data
Discover why Heavy Reading recommends using advanced analytics from proven vendors to obtain real-time intelligence from all your big data.
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Технический документ
BARC Score Advanced Analytics Platforms, BARC Score: Advanced Analytics Platforms
BARC Score Advanced Analytics Platforms: international vendor evaluation of advanced analytics and data mining platforms names SAS “dominator”.
- Технический документ Anatomy of an Analytic Enterprise
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Технический документ
A New Breed of Self-Service BI That Both Business and IT Users Will Love
Discover why business users and IT professionals alike love using self-service analytics from SAS.
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Технический документ
The Machine Learning Landscape
This paper, for novice and intermediate data scientists, talks about the four widely recognized machine learning styles and their common uses, data and modeling methodologies, and popular algorithms for solving machine learning problems.
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Технический документ
TDWI Navigator Report: Predictive Analytics
This TDWI Navigator Report for Predictive Analytics shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports executives, IT, data scientists and developers.
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E-Book
Your data scientist hiring guide
This ebook provides a brief guide for data scientist hiring. It offers 20 interview questions, 3 data scientist profiles and tips on building a data science program. The book provides a call-to-action to the data scientist primer page.
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E-Book
Data-Driven: Going from all gut to analytically inspired glory
This e-book shares in simple terms what it means to develop and cultivate a data-driven or analytic culture. It identifies key principles and practices that help an organization become more data-driven and provides a simple framework for managing that change.
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E-Book
Why choose a career in analytics?
Why are analytics careers so hot? A few years ago, a Harvard Business Review article by Thomas Davenport, “Data Scientist: The Sexiest Job of the 21st Century” brought analytics as a career choice into the mainstream. Then there was a recent McKinsey study that predicts 3 million big data jobs will need to be filled in the US alone. Businesses, governments and nonprofits all use analytics every single day. To make decisions. Make a difference. And do more with less. Read this e-book to see where a career in analytics could take you. Your dream job awaits.
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E-Book
Ahead of the game
Learn how professional sports teams win fans and games with analytics.
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Технический документ
Data Storytelling Confidential: 7 Secrets for Storytelling Newbies
In our “always on” culture, companies are finding it harder than ever to navigate the competitive landscape while being seen as authentic. So how do you become more authentic? By sharing stories that help your audience connect with you on a human level. Regardless if you’re looking for program adoption, boardroom consensus, knowledge transfer to teach a new skill or lead change within your company, stories work for business because good stories help the listener identify with you and your ideas.
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Технический документ
Welcome to the Analytics Economy: Making the Most of Digital Transformation
Just like the internet drove the evolution to a digital economy, analytics is creating a new economy where decisions and actions are based on the systematic analysis of data.
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Технический документ
Forecast Value Added Analysis: Step-by-Step
This paper discusses how the forecast value added (FVA) metric can be used to identify waste in forecasting processes and expose factors that diminish accuracy. The author provides detailed instruction on using FVA: from gathering data, to conducting analysis, to effectively reporting the results to management. He also discusses the real-world results of FVA analysis at companies from a variety of industries.
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Технический документ
Structured, Large-Scale Statistical Forecasting Using SAS® Forecast Server
As forecast accuracy continues to be a key focus area in organizations today. SAS Forecast Server is designed to automatically deliver high-quality statistical forecasts quickly and efficiently. However, in some cases the size and complexity of the business problem requires some tweaking of the settings available in SAS Forecast Server to cater for the specific characteristics of different parts of the data. This paper presents a structured approach to statistical forecasting that is both flexible and uses the full power of SAS® Forecast Server without compromising user friendliness and manageability.
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Технический документ
Unleashing the Power of Text Analytics for Hotels
Discover how text analytics can improve the way your hotel runs its business – from marketing to operations to revenue management.
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Технический документ
Analytics Accelerates Monetization Opportunities for Connected Vehicle and Mobility Services
Learn how automakers and their partners are using IoT data and analytics to help them reshape business models, seize new sources of revenue and develop inventive ways to better serve customers.
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Технический документ
Data Mining From A to Z
This paper shows how you can use predictive analytics and data mining to reveal new insights from data, as well as get all the pieces and parts moving together for maximum value.
- Технический документ Desktop Forecasting for Small and Midsize Businesses
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Технический документ
Building a Foundation for HR Analytics
Valuable insight into what it takes to build HR analytic competency from scratch.
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Технический документ
The Art and Science of Reinsurance
This white paper explains how reinsurers can gain a competitive advantage by turning to technology for catastrophe modeling, data analytics and geospatial information systems (GIS) to better understand the data and their risk exposure.
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Технический документ
Discovering What You Want: Using Custom Entities in Text Mining
Discovering the value from data can be complex – and that’s even more complicated when you focus on documents and other text information. While text analytics is an emerging field, applying advanced analytics technique to text data is a powerful means to uncover information concealed in document collections.
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Технический документ
The Connected Vehicle. Big Data, Big Opportunities
The opportunities for the automotive industry are enormous as the number of connected vehicles is projected to outpace global population growth for the next 10 years. The data collected from these vehicles, up to 30 terabytes each day, will have wide-reaching implications for drivers and manufacturers alike.
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Технический документ
The New Approach to Big, Complex and Always-On Data
Organizations struggling with bigger, more complicated data are finding new ways to turn this information into results. This paper provides a framework to embrace the technological and cultural shifts driving the way we consume and use information.
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Технический документ
Analytics Across the Student Life Cycle
Why higher education institutions need to implement data integration, data visualization and analytics solutions. It then shares best practices for applying these technologies across the student life cycle and examples of how schools are using these technologies to improve decision making.
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Технический документ
Machine Learning With SAS® Enterprise Miner™
Learn how SAS modelers prepared data and applied different machine learning techniques to create and identify the most accurate model for predicting churn using KDD Cup data.
- Технический документ Demand Planning Maturity Model
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Технический документ
Hosted Managed Services for SAS® Technology
SAS provides hosted managed services designed to provide faster and easier deployment options for SAS technologies. This white paper reviews the fundamentals of this capability.
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Технический документ
Artificial Intelligence for Executives
This paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
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Технический документ
Managing the Analytics Life Cycle for Decisions at Scale
Let the SAS Analytics Life Cycle guide you through the iterative process of going from raw data to predictive modeling to automated decisions, faster. This paper tells you how.
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Технический документ
Advancing Your Business Intelligence With Location Analytics
SAS sees location analytics as an extension of BI, so we partnered with GIS leader Esri to bring GIS and BI together. Learn how users can now access self-service mapping and spatial analytics from within the intuitive SAS Visual Analytics tool.
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Технический документ
SAS Grid Computing – What They Didn’t Tell You
Join Austria’s Erste Group Bank on their journey from a monolithic SAS processing environment to a more flexible infrastructure using SAS Grid Manager software.
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Технический документ
Unleashing the Power of Text Analytics for Travel
Discover how text analytics can improve the way your travel organization runs its business – from marketing to operations to revenue management.
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Технический документ
The Analytics Mandate: Generating profits in difficult economic and regulatory times
Learn how and why banks need to apply more analytics for real-time decision making and multichannel marketing as consumers continue to migrate to digital channels and generate more data.
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Технический документ
How Midsized Businesses Can Take Advantage of Big Data
This paper is a great how-to guide for midsized businesses looking to get started in data visualization. These seven practical tips will provide insight on how to get real results from data analysis and visualization.
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Технический документ
Looking Inside SAS® Forecast Studio
Organizations depend on statistical forecasting to provide a solid foundation for many important planning and decision-making processes. SAS Forecast Server, which comprises a graphical user interface (SAS Forecast Studio) and the statistical forecasting engine (SAS Forecast Server Procedures), facilitates and speeds the forecasting process by providing a convenient, user-friendly interface to the large-scale automatic forecasting, model building and time series exploration capabilities available in SAS.
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Технический документ
The Analytics Mandate: Path to Innovation in the Hospitality, Travel and Transportation Industry
While price is certainly a critical factor in the consumer’s buying decision, pricing alone does not guarantee purchase. Other factors such as convenience, past experiences, amenities, social media comments (ratings and reviews), and loyalty and reward points play a part. For continued success, the industry needs to expand analytic usage for a deeper understanding of customers, preferences, brand perception and digital behavior.
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Технический документ
Text Analytics for Executives
This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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Технический документ
Customer Analytics: Taking the First Step
Take the first step toward creating a valuable customer analytics program – understanding the customer using data visualization capabilities.
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Технический документ
Utility analytics in 2017: Aligning data and analytics with business strategy
To better understand organizational readiness for analytics and key areas of analytic priority in this diverse business landscape, SAS conducted an industry survey. The survey explored the issues and trends that are shaping how utilities are deploying data and analytics to achieve their business goals.
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Технический документ
What Are You Hiring For?
Midsize companies have a lot to offer that large companies don’t, but misconceptions, resource and time constraints unique to midsize businesses make the acquisition of analytic talent more difficult. Could the problem be with your talent management practices?
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Технический документ
Enhancing the Fan Experience With Event Affinity Analysis
Learn how to use sports fan data to better target and personalize marketing.
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Технический документ
Center of Analytics: What It Is and Why It Matters
Design a center of analytics that overcomes roadblocks and makes analytics integral to operations.
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Технический документ
Optimize Your Launch Sequence Strategies
This white paper explores how the SAS® solution for launch revenue optimization enables global pricing teams to simulate and optimize launch timing and pricing decisions based on the predicted effect on global revenue.
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E-Book
Using data to change the world
It’s clear that data has the power to transform businesses and entire industries, but can it also change the world? When you combine passion and curiosity with analytics – the answer is yes.
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E-Book
Rationalizing Risk in Artificial Intelligence
Organizations that wait for AI perfection tomorrow will invariably miss out on its great potential today. Because while risk can’t be avoided entirely, it can be rationalized.
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Технический документ
Portrait of a CAO
Our latest eBook is an interview and blended profile of a government agency’s first Chief Analytics Officer. While the profiled CAO is fictitious, the ideas, processes and strategies within the book are real and proven. And although the industry focus is government, the eBook offers insights on the challenges and experiences of the CAO in any industry.
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E-Book
Out in the open with analytics
What if we stopped arguing over which analytics software is best, and decided instead to use them all? With today’s analytics technologies, the conversation about open analytics and commercial analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics within your organization. Download this e-book to learn how businesses in multiple industries are integrating disparate code and information to deploy models and deliver critical results with analytics.
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E-Book
How can retailers satisfy today’s customers?
With omnichannel analytics, you can use all the data you’re collecting on multiple channels, combine it with product data to improve all retail operations, while also improving the customer experience.
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E-Book
The Mechanics of Storytelling
Analogies are a powerful tool that can help an audience grasp complex ideas. This ebook uses the technique by comparing a mechanic’s journey to a storyteller’s assembly process defined by the acronym, “PARTS”: people, analytics, requirements, tools and success factors.
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E-Book
Making Sense of AI
This e-book explores the current boundaries of AI, as well as the many ways that modern AI applications can improve our understanding of the world and enable us to make better, faster decisions.
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E-Book
The Machine Learning Primer
This e-book provides a primer on machine learning, deep learning, natural language processing and cognitive computing, as well as 10 best practices and a checklist for machine learning readiness.
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E-Book
Your guide to bridging the analytics skills gap
This e-book pulls together five customer interviews to explain where analytics skills are needed in different industries (from journalism to insurance to government). The customers explain how to provide training and cultural changes to support analytics careers.
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E-Book
Doing good with government data
From child welfare and public health to combating prescription abuse and improving education, analytics is improving government programs around the world.
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Технический документ
Better Forecasting With Next-Generation Demand Management
The multitude of forces affecting the relationship between demand and supply are set to expand their influence. Smart leaders will take advantage of the flood of digital data to better understand those forces to make more accurate and predictive supply chain decisions.
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Технический документ
The Analytics Mandate: Helping Retailers Evolve
Find out why 77 percent of retailers who participated in an MIT Sloan survey believe analytics provides a competitive advantage compared with 64 percent of respondents from other industries.
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Технический документ
Demand Shaping
Demand shaping is commonly thought of in terms of demand manipulation. This paper provides an extended version of demand shaping that helps organizations understand the dynamics of both supply and demand.
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Технический документ
Assessing Your Business Analytics Maturity: Eight Metrics That Matter
SAS conducted a benchmark survey of more than 260 US companies across all industries to determine each organization’s proficiency across the key metrics. The results of this survey are presented in this paper to provide guidance for short- and long-term efforts needed to enhance analytical effectiveness.
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Технический документ
Channeling Streaming Data for Competitive Advantage
Discover how and why innovative companies are transforming business operations by using streaming analytics to extract meaning from live data streams as data is created, and automate reactions to it with millisecond response times.
- Аналитический отчет Bloor InBrief: SAS Event Stream Processing Bloor InBrief: SAS Event Stream Processing
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Технический документ
Analytics and the Modern IT Organization
Learn how forward-thinking CIOs and other C-level executives are planning to create a more modern IT designed to take advantage of big data.
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Технический документ
How To Use Analytics to Create Health Care Value: An Executive Primer
US health care reform has digitized health care. Analytics holds promise in creating value from the growing stores of health care data but what are the critical executive considerations for applying analytics strategically? This paper presents how to tap into the great potential to use analytics to fish for insight from your growing data lakes.
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Технический документ
The Power of Collaboration
This white paper explains the need for and value of the collaboration and self-service capabilities that SAS Visual Analytics and SAS Office Analytics provide. It provides how-to specifics for incorporating SAS Visual Analytics results with Microsoft Outlook, Excel, PowerPoint, Word and SharePoint with plenty of screen shots, explanations and architecture diagrams for IT.
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Технический документ
Approachable Analytics With SAS® Web Solutions
See how SAS Web solutions enable rapid prototyping of new analytic solutions.
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Технический документ
Data Visualization Techniques
A picture is worth a thousand words – especially when you are trying to find relationships and understand your data – which could include thousands or even millions of variables. This paper takes you from the basics of charts and graphs to visualizing big data using SAS Visual Analytics.
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Технический документ
How Streaming Data Analytics Enables Real-Time Decisions
Learn how SAS provides extremely high-throughput, low-latency technology to meet whatever streaming analytics your company might want to pursue.
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Технический документ
Demystifying Analytics
To educate and inform insurance companies about how they can move toward becoming an “analytic insurer” – one that embeds analytics into daily operations to make better decisions that reduce costs, improve pricing and more.
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- Article IoT in healthcare: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened healthcare systems around the world – we can’t afford not to integrate IoT in healthcare.
- Article Analytics. Fighting cancer for more than 40 years. Thanks partly to analytics, cancer survival rates are higher, treatments are more personalized and cancer research continues to expand.
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- Article What do drones, AI and proactive policing have in common?Law enforcement and public safety agencies must wrangle diverse data sets to be effective in their operations. Intelligence analysts are using that data to apply machine learning and AI for more proactive policing.
- Article How Walmart makes data work for its customersTips from the world's largest retailer on building an infrastructure that makes data work for its 240 million customers a week.
- Article Ключевые вопросы для запуска ваших проектов по аналитике данныхНет единого плана по работе над проектом по аналитике данных. Эксперт по технологиям Фил Саймон предлагает рассмотреть эти десять вопросов в качестве руководства.
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- Article Может ли обмен данными излечить рак?Совместная работа аналитиков помогает найти ответы, скрытые в данных клинических исследований.
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- Article Five ways to approach analytics differentlyGo beyond the conventional, the insane and the dabbling. Here are 5 ways to rethink how you do analytics.
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