SAS Analytics Pro 和
SAS Analytics Pro 進階程式設計
易於使用且功能強大,可用於存取、操作、分析和呈現資訊,適用於雲端和實地部署,並且具備進階統計技術。
使用 SAS Analytics Pro 提高生產力 — 您需要的所有數據分析工具都集中在一個套件組中。 並透過 SAS Analytics Pro 進階程式設計取得其他功能。
僅從一家供應商處即可獲得分析、報告和易於理解的視覺化。
為什麼要整合來自不同供應商的軟體組合? 整合式產品組合包含三種最受歡迎的產品 — SAS、 SAS/STAT® 和 SAS/GRAPH® ,可降低授權、維護、訓練和支援的成本,同時確保整個企業提供一致的資訊。
使用創新統計技術。
SAS 統計程式不斷更新,以反映統計方法的最新進展。技術支援由經驗豐富的碩士和博士級統計學家提供,他們提供的服務和知識水平在其他軟體供應商中並不常見。SAS 在開發統計分析軟體方面擁有四十年以上的經驗,世界各地的組織都依賴這些軟體尋找資料問題的準確答案。
整合資料並滿足法遵要求。
SAS 軟體可整合至幾乎任何運算環境中,因此您可以統一運算工作,並取得資料的單一檢視。 您可以生成可重複的代碼,這些代碼很容易記錄,並驗證合規性。 而且,分析師可以自由地專注於分析,而不是數據問題。
輕鬆建立和共享圖形和報告。
使用所有需要的輸出格式建構具有分析風格的圖形、地圖和圖表。輕鬆建立標準辦公格式的報告,例如可以在 iPad® 和 iPhone® 上閱讀的 RTF、PDF、PowerPoint、HTML 和電子書格式,以便您可以在最需要的地方提供分析結果。
主要特色
直觀的第四代程式設計語言
高度靈活,可擴展的 4GL 具有易於學習的語法,包括數百種支持編程的語言元素和功能-從數據提取,格式化和清理到數據分析,報告和信息存儲。
使用功能強大的 SAS 分析進行進階統計分析
提供廣泛的統計方法-包括具有內置定位功能的地理位置分析-這些方法經常更新以反映最新方法。
在基於 Web 的環境中預先建構隨需即用的程序語法
透過幾個簡單的命令提供重要的功能,簡化程式設計、分析和報告,並提高程式設計師的生產力和效率。
資料視覺效果、展示和交付
使用各種業務地圖,圖表,繪圖和 3-D 關係圖,實現想法和發現的可視化呈現。
基於雲端的輕鬆存取進階統計分析和報告
提供即時存取、功能強大的統計分析和報告應用程式,並在容器中提供,以便在雲端和實地輕鬆部署,以便快速將模型轉化為商業價值。 即刻為桌機用戶提供比以往更快的安裝。
統計學家的進階編程功能
SAS Analytics Pro 進階程式設計提供廣泛的額外進階統計技術,用於評估品質、處理時間序列資料,以及開發線性和非線性最佳化。
包括什麼?
深入了解 SAS Analytics Pro
若要依類型瀏覽資源,請點選下列選項。
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- 本書摘錄
- 案例分析
- 資訊圖
- 訪問
- 研究
- 系列
- 影片
- 客戶案例
- 網路研討會
- 文章 Wanted: AI leadersDo you have what it takes to be an AI leader? In this growing field, people skills, innovation and ethics are more important than expertise in artificial intelligence technologies.
- 白皮書 Channeling Streaming Data for Competitive AdvantageDiscover 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.
- 客戶案例 French fintech modernizes its analytics approach with SAS ViyaAs UTWIN’s insurance business grows, SAS Viya enhances efficiency and democratizes analytics among management, business teams and partners.
- 文章 Is your data too big to visualize?Use these tips to find new ways to look at big data, so you can quickly collapse and condense the results in an intuitive fashion.
- 文章 The opportunity of smart grid analyticsWith smart grid analytics, utility companies can control operating costs, improve grid reliability and deliver personalized energy services.
- 白皮書 Top 5 insurance problems – and AI isn’t one of themAs all players in the insurance ecosystem know – insurers to reinsurers, GSIs and regulators – the industry faces a multitude of daunting business problems today. In this paper, we discuss five of the most pressing insurance problems, how they affect communities around the world, and obstacles that can get in the way of solving those challenges. Read the paper to learn how insurers can use AI to identify and solve far-reaching issues. And learn why it will take the entire insurance ecosystem to course correct on business results, climate risk, AI safety and governance, and more.
- 客戶案例 Empowering customers to choose more efficient energy consumptionUnlocking the power of data with SAS® helps Repsol journey toward sustainable energy
- 分析報告 IDC MarketScape: Worldwide Decision Intelligence 2024
- 電子書 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.
- 客戶案例 Improving data collection and modeling to accelerate predictive medicine effortsDompé farmaceutici uses SAS for predictive analytics and quantitative disease modeling.
- 白皮書 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.
- 白皮書 TDWI Checklist Report Analytics for Everyone: Seven Tips for Promoting Analytics AdoptionChecklist Report on democratizing analytics
- 影片 Tips for hiring and managing data scientistsIs it time to hire a data scientist? What skills should you look for? John Taylor leads a team of data scientists and shares his top tips in this short video.
- 白皮書 The Analytic EnterpriseMaking sense of enterprise data takes the right people with the right skills - and a solid strategy. This paper outlines what successful organizations do to make data work for them.
- 分析報告 Gartner® Voice of the Customer for Analytics and Business Intelligence PlatformsSAS has been recognized in the 2023 Gartner® Voice of the Customer for Analytics & Business Intelligence Platforms.
- 文章 The intersection of modern IT and advanced analyticsThornton May explains how IT groups are helping the business use analytics to adapt to the C-suite's need for a modern, agile and results-focused IT function.
- 文章 Why pharmaceutical firms are investing in real-world evidenceTo get a compound or device to market – bench to bedside – may be an eight- ,12- or even 15-year process. Real-world evidence has a critical role at every step, particularly in the clinical trials process.
- 客戶案例 Transforming steelmaking through IoT analyticsSSAB improves production efficiency, product quality and maintenance strategies using sensor data, artificial intelligence and advanced analytics.
- 電子書 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.
- 白皮書 Recommendation SystemsIn this paper, Wayne Thompson, PhD, Manager of Data Sciences Technologies at SAS answers common questions about the types of recommendation systems used today, who uses them and why, and the advantages of using them for businesses today. He also delves into how the underlying technology typically works, with a special focus on SAS capabilities and benefits.
- 分析報告 IDC MarketScape: Worldwide Responsible Artificial Intelligence for Integrated Financial Crime Management Platforms 2022 Vendor AssessmentLearn why SAS is positioned in the Leaders category in the 2022 IDC MarketScape for worldwide responsible artificial intelligence for integrated financial crime management platforms.
- 文章 您的AI還在沙盒裡嗎? 那些說已獲AI成效的企業做了什麼?人工智慧(Artificial Intelligence, AI)的發展持續擴增經濟型態,舉凡企業、政府與各新創公司無不趨之若鶩,宣示插旗。在2018年7月,一份國際調查報告 (註) 中,過半(51%) AI早期採用者的組織表示部署 AI 「獲得實質成效」,79%認為「分析技術」在其中扮演「重大」角色。
- 訪問 What’s powering the digital economy? The analytics economy. From the digital economy to the app economy, technology is changing the way we do business and manage resources. Find out how the analytics economy can help you make the most of your data resources.
- 白皮書 Leveraging data successfully for developmentThe 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.
- 影片 UPS loves logistics and analyticsEver thought about what backs the intricate sorting, delivery and route process behind your receipt of a UPS package? See how the package delivery company moves from descriptive to predictive to prescriptive analytics in this video.
- 客戶案例 Managing Dutch roads and waterways with intelligenceA modern AI, IoT and analytics platform powered by SAS Viya helps Rijkswaterstaat move from reactive to predictive infrastructure maintenance.
- 系列 Meet the data scientist: Kristin CarneyWhen Kristin Carney graduated with a BS in mathematics, she wasn't sure what she wanted to do with her degree. That’s when she began researching data science.
- 客戶案例 Finland’s top retail bank applies AI to improve customer service and credit scoringS-Bank provides better customer service and faster, more accurate loan processing time using SAS Viya on Azure.
- 白皮書 Solving the public services productivity puzzleIn Global Government Forum’s survey, 91% of public service respondents said they face a productivity challenge, with 56% characterizing it as significant or very significant.
- 文章 Your personal data scientistImagine pushing a button on your desk and asking for the latest sales forecasts the same way you might ask Siri for the weather forecast. Find out what else is possible with a combination of natural language processing and machine learning.
- 白皮書 What is the best path forward?Mathematical optimization finds the best courses of action through multiple variables and conflicting constraints.
- 文章 Resilience in the face of unpredictabilityUnpredictability can “shatter and reshape” a society. And in these unpredictable times, it is important to remain resilient and be prepared to bounce back. This article explores what it truly means to be resilient, how to build it, and how analytics can help you act when your resilience is tested.
- 白皮書 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.
- 網路研討會 How Do I Migrate SAS® Event Stream Processing Workloads to Microsoft Azure?Learn how SAS and Microsoft work together to seamlessly migrate SAS Event Stream Processing workloads to Microsoft Azure.
- 客戶案例 Fighting loan application fraud with cutting-edge analyticsBausparkasse Schwäbisch Hall uses SAS® Viya® to identify forged income documents
- 網路研討會 Building and Maintaining Data Science TalentHear diverse perspectives on how to address the data science skills shortage through talent development programs, partnerships with academic institutions and more.
- 文章 The Humanity in Artificial IntelligenceCould artificial intelligence be the change agent we need to solve many problems around the globe? Read how AI could accelerate our ability to have a a positive, lasting impact.
- 白皮書 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.
- 文章 ModelOps: How to operationalize the model life cycleModelOps is where analytical models are cycled from the data science team to the IT production team in a regular cadence of deployment and updates. In the race to realizing value from AI models, it’s a winning ingredient that only a few companies are using.
- 文章 How police forces can use data to prevent crimePolice need to be given better access to data that will drive actionable intelligence and free up time to concentrate on investigating crime on the front line rather than dealing with time-consuming administrative tasks behind the scenes
- 客戶案例 法國橄欖球國家隊透過 AI 和資料分析提高表現法國橄欖球聯盟仰賴從 Microsoft Azure 上所部署的 SAS Viya 汲取智慧情報,為教練提供決策指引,進而提高球員的表現。
- 文章 Learning the art of analytical storytellingCrafting and pitching enticing data-driven stories is a vital skill to master. Here are a few tips to help you get started with storytelling visualizations.
- 文章 Practical advice for better business forecastingCheck out three short videos with simple, practical advice for improving business forecasting at your organization.
- 客戶案例 Using artificial intelligence to better engage with customersDaiwa Securities uses analytics and machine learning from SAS to better meet customer needs.
- 白皮書 Cognitive Computing: Analytics and BeyondWith 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.
- 白皮書 How will generative AI influence forecasting software?Delve into what potential applications of AI, particularly large language models (LLMs) within a forecasting support system (FSS), along with identifying obstacles to the widespread adoption of these technologies.
- 客戶案例 Delivery company relies on analytics to optimize logistics and swiftly meet changing marketplace dynamicsRelais Colis reinvents itself during global pandemic using SAS Visual Analytics to ensure continuity of business and quality of service.
- 客戶案例 客戶案例 From data to dignity: How advanced analytics can help lift people from povertyBissell Centre relies on robust data analysis to better understand clients, improve programs and services, and advocate for those in need.
- 系列 Women in Analytics: Susan Weidner, IntrinsiQ Specialty SolutionsPractical advice for women interested in pursuing a career in analytics. Mentors were key for Weidner, now a Senior VP at IntrinsiQ Specialty Solutions.
- 文章 People analytics: Make smarter decisionsWith deep insights gained from people analytics, HR leaders can become trusted, strategic advisers to hiring managers and the executive team.
- 文章 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 weekly customers.
- 客戶案例 Hyper-personalized offers help consumer finance company elevate the customer experienceHome Credit modernizes its marketing with SAS® Customer Intelligence 360 to increase engagement, boost efficiency and reduce costs
- 文章 The OODA LoopApplying the military’s OODA Loop (observation, orientation, decision and action) to data helps organizations decide and act more quickly. That equals victory in today’s business wars.
- 客戶案例 Transforming the consumer banking experience through advanced analyticsCIMB Singapore uses SAS Viya to enhance business operations and keep pace with changing customer needs.
- 電子書 Out in the open with analyticsLearn how businesses in multiple industries are combining the benefits of SAS and open source analytics, integrating disparate code and information to deploy models and deliver critical results.
- 系列 Meet the data scientist: Steve EinbenderFind out how Steve Einbender lobbied his analytics skills into a data scientist gig at Home Depot and launched the company’s Advanced Analytics Center of Excellence.
- 客戶案例 Keeping stores stocked using exceptional demand planningYildiz Holding relies on demand planning from SAS to improve forecasts for manufacturing, inventory and sales planning processes.
- 文章 SAS CIO: Why leaders must cultivate curiosity in 2021With the change we’re all facing this year, CIOs should be counting on curiosity to play a crucial role in how we’re going to meet the challenges that lie ahead. From the moment COVID-19 hit, our IT organization has relied on curiosity – that strong desire to explore, learn, know - to fuel the urgent changes required. And it’s curiosity that will enable us to meet the needs of the future of work post-pandemic.
- 文章 Supporting indigenous communities with analyticsThough indigenous women are a small part of Canada's population, they account for a disproportionately large number of Canada's murder victims. Now, big data and analytics are being used to help improve outcomes.
- 白皮書 What Management Must Know About ForecastingExplore why forecasts are often wrong and learn about ways to improve them.
- 分析報告 SAS Explore 2022 Review and AnalysisThis IDC Link focuses on several SAS announcements supporting faster time-to-value for AI/ML model-driven businesses.
- 系列 How to get the most value from your data scientistsHiring data scientists isn’t enough. This excerpt from an MIT Sloan report offers advice on how to best manage these analytic professionals.
- 白皮書 Statistics and Machine Learning at ScaleDiscover how machine learning can be applied to a variety of applications, and learn about the techniques required to help computers learn from massive amounts of data.
- 文章 大和證券活用SAS AI科技 強化營業提案能力商品購買率提升2.7倍證券EBM更上一層樓。日本大和證券為了活用AI等科技強化提案能力並提升業務效率,設立了AI推動處。另外透過活用SAS系統,實現了根據客戶分析結果提供業務員最佳行動方案。
- 文章 Five ways your organization can enhance resilience for years to comeInnovation, agility and customer-centricity frequently top the list of companies’ strategic objectives, and now the most urgent priority is resilience. Given this new urgency, it’s worth taking a close look at the underpinnings of resilience and how they could be applied in any industry. This article explores how analytics can help boost resilience and includes key elements to keep your organization resilient.
- 客戶案例 智慧城市利用IoT與分析,預測及管理洪災問題北卡羅萊納州卡瑞鎮攜手SAS和Microsoft,保護市民免於洪災,守護流域並協助友善環境開發。
- 文章 Situational awareness guides our responses – routine to crisisMany circumstances call for situational awareness – that is, being mindful of what’s present and happening around you. The COVID-19 pandemic heightened this need, as leaders across industries used analytics and visualization to gain real-time situational awareness and respond with fast, critical decisions.
- 客戶案例 Taking the guesswork out of production planningEuramax uses SAS to prevent production delays
- 文章 Location intelligence: Adding geospatial context to BI Get tips for implementing a location intelligence data strategy from industry thought leader and data explorer, Jen Underwood.
- 白皮書 Rethinking Enterprise BI to Fit a Self-Service WorldSelf-service enterprise BI best practices
- 文章 Detect and prevent banking application fraudCredit fraud often starts with a falsified application. That’s why it’s important to use analytics starting at the entrance point. Learn how analytics and machine learning can detect fraud at the point of application by recognizing the biggest challenge – synthetic identities.
- 系列 Women in analytics: Susan Thomas, GM FinancialWhen Susan Thomas graduated with a technical degree in the 80s, everyone assumed she'd teach. Instead, she became a coder and programmer.
- 電子書 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.
- 系列 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.
- 白皮書 The 3 R’s of AI Adoption: Refactor, Reinvent, ReimagineLearn 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.
- 文章 Shut the front door on insurance application fraud!Fraudsters love the ease of plying their trade over digital channels. Smart insurance companies are using data from those channels (device fingerprint, IP address, geolocation, etc.) coupled with analytics and machine learning to detect insurance application fraud perpetrated by agents, customers and fraud rings.
- 文章 How to work like a disrupterFind out what companies like Netflix, Airbnb, Spotify and Lyft know about analytics that you don't know. Learn how to become technologically and analytically mature just like them.
- 網路研討會 Getting Started With Geo Analysis in SAS® Visual AnalyticsSeeing is believing. Learn the geo analysis capabilities available in SAS Visual Analytics, available out of the box and through Esri integration.
- 客戶案例 Transforming mental health care in California, turning data into insight California's Mental Health Services Oversight and Accountability Commission uses analytics and data management to better serve residents and increase community well-being.
- 文章 Hiring? We have the data scientist interview questions you needUse these data scientist interview questions to recruit someone with a range technology skills and a knack for communicating complex subjects to a variety of audiences.
- 分析報告 IDC Spotlight: Looking Beyond the AI Model to Improve the Value of Computer Vision in Manufacturing OperationsThis IDC Spotlight explores the increasing adoption of computer vision (CV) by manufacturers, and how in order to succeed, they must focus on more than just model development, validation and deployment. SAS delivers a comprehensive portfolio of tools, software and resources – integrated into SAS Viya – to develop and deploy CV solutions.
- 文章 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.
- 客戶案例 透過機器學習尋找最佳客戶Seacoast Bank 在 SAS Viya 上使用 AI 和 SAS Visual Analytics,提升客戶價值。
- 網路研討會 Five Imperatives for the Analytic ExecutiveLearn what it takes to capitalize on the analytics economy and generate substantial business value.
- 文章 Will health care be fundamentally changed post-COVID-19?Many market forces are supporting the transformation to virtual digital health programs -- the COVID-19 pandemic is just the latest compelling event.
- 電子書 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.
- 客戶案例 Italy’s second-largest hospital uses advanced analytics for effective pandemic responseGemelli University Hospital uses SAS solutions to predict admissions of patients in the intensive care units and impacts on the organization, from staffing hospital wards to effectively scheduling and managing COVID-19 vaccine administration.
- 白皮書 The Analytics MandateBased on interviews with more than 90 executives, this research paper examines how organizations can step up their analytics game by rethinking their organizational culture. Readers will learn how leading companies have improved their decision making with analytics, as well as actions they can take to develop a stronger analytics-based culture.
- 白皮書 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.
- 白皮書 Looking Inside SAS® Forecast StudioOrganizations 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.
- 文章 當超前部署成常態,國內醫療體系如何繼續立於不敗?2020年從開春動盪至今,幸而台灣在公衛與醫療體系的超前部署,讓我們得以領先全球,進入後疫情時代,努力踏上復甦之路。但展望未來,超前部署之外,國內醫療體系是否能藉此次衝擊更完備體質,迎接下次不可預期的大流行,或將這次應戰的動能反饋在優化日常營運上?
- 文章 IoT in health care: Unlocking true, value-based careGiven the potential of IoT – and the challenges of already overburdened health care systems around the world – we can’t afford not to integrate IoT in health care.
- 客戶案例 Filling the business analytics skills gapThe University of Alabama graduates students capable of solving big, messy, real-world business challenges
- 系列 Women in analytics: Katherine Sanborn, Kellogg CompanyA recent college graduate who mentors and coaches incoming interns shares her advice for the newest generation of analytics professionals.
- 文章 Public health infrastructure desperately needs modernizationPublic health agencies must flex to longitudinal health crises and acute emergencies – from natural disasters like hurricanes to events like a pandemic. To be prepared, public health infrastructure must be modernized to support connectivity, real-time data exchanges, analytics and visualization.
- 客戶案例 Nudging students and school districts toward unimagined successMichigan’s Anchor Bay and Armada Area school districts use SAS EVAAS for K-12 to encourage students and educators to dream bigger and achieve higher.
- 白皮書 Sales & Marketing Report 2017 - The Digital ExperienceCGT’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.
- 文章 From Apollo to AI: A new era of American explorationAs we celebrate the 50th anniversary of the Apollo 11 mission, what’s the next frontier for American Innovation? It’s available now, from our desks and waits for us to unlock its potential.
- 系列 Tracking down answers to your questions about data scientistsDo you need a data scientist? Want to be a data scientist, or improve the skills you already have? Check out our Insights series.
- 電子書 Your data scientist hiring guideThis 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.
- 白皮書 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.
- 文章 Why you should care about episode analyticsThe future of value-based health care requires a better understanding of how patients are treated for thousands of conditions. Only episode analytics can uncover the insights payers and providers need.
- 文章 Concussion: Journalist crunches the numbers and breaks a scandalHow Pulitzer Prize-nominated journalist Alan Schwarz used his stats background to achieve the most remarkable feat in sports journalism history.
- 文章 Components of an information management strategyBefore starting a data management strategy for your business, you need to understand each component. Data expert David Loshin breaks them down.
- 客戶案例 Norway’s largest telecommunications, media and technology provider adapts to rapidly changing customer expectations using a hybrid cloud approachTelenor relies on SAS Viya on Azure and SAS Customer Intelligence 360 to provide fast, personalized customer service based on real-time analytics.
- 白皮書 SAS®: A Comprehensive Approach to Big Data Governance, Data Management and AnalyticsSAS puts you in charge of burgeoning big data governance issues. See how in this paper by Sunil Soares.
- 客戶案例 Revolutionizing marketing campaigns with AIAlliant relies on machine learning to create qualified marketing audiences for its clients.
- 文章 From living on the streets to owning a profitable businessZoe Empowers, a ministry for vulnerable children living in life-threatening poverty in Africa and India, finally found a way to measure and reveal its incredible impact. Using SAS, they developed an "empowerment index" that measures improvements in housing, health, education and more for program participants.
- 系列 Meet the data scientist: Manuel David GarciaWhile he did study statistics, operations research and relational marketing, Data Scientist Manuel-David Garcia's "real school" came from on-the-job-training.
- 系列 Meet the data scientist: Daymond LingDaymond Ling believes the right personal traits are more important than technical skills when it comes to being a successful data scientist.
- 系列 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.
- 文章 Homelessness data holds insights to a hidden problemSAS partnered with The Carying Place, an organization that supports working homeless families, to find new ways to measure indicators of participant success and provide families the help they deserve.
- 白皮書 Data Visualization TechniquesA 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.
- 白皮書 Using Big Data to Enable the Omnichannel Retail ExperienceAs 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.
- 文章 趨勢觀察/保險業接軌IFRS17 把握數位轉型契機國際會計準則IFRS17即將於2023年生效,台灣預計於2026年上路,儘管距今仍約有五年的準備時間,但由於涉及的準則要求、財報的大幅變動,以及細緻的資料準備,造就保險公司不僅需要以「分組、模組化」方式管理保險合約,更要在有限的時間內實現每月的報告內容。
- 白皮書 Hosted managed services for SAS® technologySAS provides hosted managed services designed to provide faster and easier deployment options for SAS technologies. This white paper reviews the fundamentals of this capability.
- 文章 How to drill a better hole with analyticsFrom drilling holes to preventing health care fraud, learn about some of the new technologies SAS has patented with IoT and machine learning technologies.
- 白皮書 Field Experience in Embedded AnalyticsFast-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.
- 文章 反洗錢大作戰,看AI如何助攻!隨著亞太洗錢防制組織(APG)抵台正式展開評鑑,反洗錢這個議題也再度躍上檯面,成為台灣金融圈熱烈討論的話題。如何善用新型態機器學習技術來防制可疑洗錢交易,也成為金融業引進智能科技的新型態手法。
- 系列 Meet the data scientist: Alex HerringtonAlex Herrington decided he wanted a career in data because he liked the idea of using numbers to figure out things. Now he’s a data scientist at a US retailer.
- 文章 Three C’s of the connected customer in the IoTTo optimize the connected customer experience, Blue Hill Research says organizations should build an IoT model based on three key features.
- 文章 疫情再襲零售業的備戰之道:如何提高需求預測準確度?對零售業來說,現今最重要的事,就是增加營收、降低因為疫情而造成的業績衝擊。然而要實現這個目標,光靠發放折價卷或提供購物優惠等方式還不夠,零售業必須從根本做起,提高需求規劃的精準度,才能真正從疫情衝擊中恢復,並建立日後若再面臨類似衝擊時,可以從容應對的能力。
- 客戶案例 Nationwide reduces fraud losses by 75%The world's largest building society chose SAS to lower its fraud losses - it realized a reduction of 75%.
- 文章 Operationalizing analytics: 4 ways banks are conquering the infamous ‘last mile’Here are four examples across the banking industry that show how these leading organizations followed a clearly defined path to conquer the infamous 'last mile' of analytics.
- 白皮書 Making the case: The ROI of demand managementThis paper shows how to determine the value of improving the credibility of the demand plan. Several templates are included to help in quantifying and documenting the return on investment.
- 電子書 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.
- 文章 Finding COVID-19 answers with data and analyticsLearn how data plays a role in optimizing hospital resources, understanding disease spread, supply chain forecasting and scientific discoveries.
- 文章 Streaming data: The ins and outs of this technology buzzwordLearn what streaming data is, why it matters to your business and how it relates to big data, event stream processing, data management and the IoT.
- 電子書 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.
- 客戶案例 Identifying potential trouble spotsFlorida DOC turns to SAS Analytics to help improve citizen safety.
- 文章 The future of IoT: On the edgeFrom cows to factory floors, the IoT promises intriguing opportunities for business. Find out how three experts envision the future of IoT.
- 電子書 Doing good with government dataFrom child welfare and public health to combating prescription abuse and improving education, analytics is improving government programs around the world.
- 分析報告 SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022SAS is a Leader in The Forrester Wave™: Digital Intelligence Platforms, Q4 2022.
- 白皮書 Building a Foundation for HR Analytics Valuable insight into what it takes to build HR analytic competency from scratch.
- 白皮書 In-Memory Analytics: Get Faster, Better Insights from Big DataThis QA with Tapan Patel, Global Product Marketing Manager at SAS, provides a great overview of in-memory analytics.
- 研究 Nerd in the herd: protecting elephants with data scienceA passionate SAS data scientist uses machine learning to detect tuberculosis in elephants. Find out how her research can help prevent the spread of the disease.
- 網路研討會 Have Your Cake and Eat It Too – With R, Python + SASJoin us for a webinar and demo and learn how SAS works with R and Python to easily scale your data science efforts for enterprise analytics deployment.
- 客戶案例 Making prisons and communities safer with data visualizationIowa Department of Corrections uses SAS Viya on SAS Cloud to better manage supervised populations, make informed decisions and improve public safety.
- 文章 台灣製造業再戰 10 年新標配:AIoT 如何助力工廠從自動化邁向智慧化
- 文章 Inside sports analytics: Ten lessons for business leadersPost "Moneyball" many sports teams take a highly analytical approach to winning, and there are several important lessons that businesses can learn. These 10 tips come from research Thomas H. Davenport conducted on more than 25 professional teams.
- 客戶案例 World’s largest sports and humanitarian event builds legacy of inclusion with data-driven technologySpecial Olympics World Games Abu Dhabi uses SAS® Analytics and AI solutions to keep athletes safe and fans engaged.
- 客戶案例 Forecasting accuracy brings ‘new energy’ to CameroonEnergy supplier Eneo balances supply and demand to boost efficiency, save millions and improve reliability with SAS Energy Forecasting.
- 文章 How researchers are fighting cancer with analyticsThanks partly to analytics, cancer survival rates are higher, treatments are more personalized and cancer research continues to expand.
- 文章 How to find and equip the citizen data scientists in your midstCitizen data scientists are challenging the status quo and looking at data in new ways. Learn how to recognize, reward and train these analytical minds to benefit the business.
- 電子書 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
- 文章 What are chatbots?Chatbots are a form of conversational AI designed to simplify human interaction with computers. Learn how chatbots are used in business and how they can be incorporated into analytics applications.
- 白皮書 TDWI Checklist Report: Gaining Business Value from Governed Analytics and Discoverydata governance
- 訪問 Using data to control unruly hotel pricingKelly McGuire of SAS has packaged everything hoteliers need to optimize pricing and maximize revenue into one neat book.
- 系列 Women in analytics: Elisa Gois, MGM ResortsElisa Gois, Chief Analytics Officer for MGM Resorts, went from social work to the C-suite. Here are her top four tips for a successful career in analytics.
- 電子書 Innovation driven by strategyFrom curing diseases to studying the sun, innovative uses of analytics are changing the world. Download this e-book to see where tomorrow’s technologies are happening today. You’ll find out how analytics technologies are being used for cybersecurity, machine learning, the Internet of Things and more. If you’re looking for inspiration, see where this e-book takes you.
- 網路研討會 Real-Time Predictive Analytics: Uncovering Opportunities and Barriers at the Speed of Data FlowJoin us as we discuss how SAS® Event Stream Processing can help organizations uncover data anomalies instantly, before trouble starts or opportunity passes
- 文章 Introduction to machine learning: Five things the quants wish we knewMachine learning is gaining momentum thanks to bigger, more complex data sets. How does it work? Kimberly Nevala from SAS Best Practices explains what it is by focusing on what it isn't.
- 系列 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.
- 白皮書 Optimize Your Launch Sequence StrategiesThis 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.
- 白皮書 Portrait of a CAOOur 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.
- 客戶案例 Optimizing cancer patient care with advanced analyticsSAS Viya helps create custom care pathways for Oscar Lambret Center cancer patients.
- 電子書 Enrich Your Data With Location AnalyticsLocation 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.
- 文章 Empty shelves: The retail analytical talent deficitIf you already have an analytics team, you know how hard it is to attract and retain top talent. If you're trying to build a team, here are some ways to find (and keep) the analytical experts you need.
- 客戶案例 Building a culture of analytics empowers university to lead as an educational enterpriseFrom enrollment to graduation, the University of Texas at Arlington uses SAS Analytics for Education on Amazon Web Services to aid in analysis supporting student success and campus strategic decision making.
- 白皮書 TDWI Navigator Report: Predictive AnalyticsPredictive Analytics
- 客戶案例 Predictive analytics helps save lives during COVID-19 pandemicFPS Public Health uses SAS to forecast hospital bed occupancy, predict infection rates and ensure sufficient medical staffing during global health crisis.
- 白皮書 SAS® in the Open EcosystemAnalytics 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.
- 客戶案例 Enhancing road safety with advanced analyticsBelgium’s FPS Justice uses insights from SAS Visual Analytics to crack down on excessive speeding and take more effective action against traffic violators.
- 客戶案例 Modern, real-time marketing increases customer loyalty and revenue for property management company and its retail tenantsEsas Properties uses SAS Customer Intelligence 360 on SAS Viya 4 to digitize its loyalty program, personalize customer interactions and boost average purchase amounts.
- 文章 Understanding data in motionLearn how to analyze fast-moving data streams on the fly with event stream processing.
- 文章 Improve child welfare through analyticsWith tremendous potential for child welfare agencies to use data and analytics to prevent child abuse and improve outcomes for children and families, child welfare advocates discuss the benefits of using data and establishing a data-driven culture to advance practice and policy.
- 文章 Lessons from the trackDoes your organization have an analytics DNA? Here's a baker's dozen of tips for building a healthy, happy data-driven enterprise that can go the distance.
- 客戶案例 Ensuring public transparency and one-stop access to crime data and analysisThe North Carolina Criminal Justice Analysis Center uses SAS Viya on SAS Cloud to improve data accessibility and efficiencies in gathering and reporting state and county criminal justice statistics to stakeholders, policymakers and citizens.
- 白皮書 SAS Analytics and Open SourceExplore 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.
- 客戶案例 Fintech company’s rapid growth leads to consistent cloud strategyauxmoney saves resources, gains flexibility and scalability with risk management in the SAS Cloud hosted on Microsoft Azure.
- 文章 Exploring the sun with big dataResearchers working for NASA are using automatic, exploratory and visual analysis of big data to help understand the mysteries of our universe.
- 白皮書 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.
- 文章 Student growth measures show the way to educational successStudent test scores don’t tell the whole story about how students are performing. Educators are finding new ways to measure progress.
- 文章 Coming soon: The Industrial Internet and IoT standardsFrom smart farms to connected water meters, the IIoT party is happening – with consensus around IoT standards playing host.
- 白皮書 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. Based on a survey of more than 300 analytics professionals (of which about one-third were self-described data scientists) working in different types of US companies, this report describes: · Why data scientists differ from other types of analysts. · Seven steps to managing data scientists for business value. · How analysts and data scientists view their work and their place in the organization.
- 文章 Three reasons reporting and analytics projects fail and how to avoid the pitfallsLearn how to deal with three potential risk areas before you dive into a reporting and analytics project.
- 白皮書 Using Analytics to Improve Customer EngagementThe 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.
- 系列 Data drives destinyUS community colleges need to train 11 million more skilled workers by 2025. Karen Stout, CEO, Achieving the Dream, explains how data can make it happen.
- 客戶案例 Travel and tourism forecasts become more accurate with analyticsDER Touristik builds web-based planning tool with SAS to better predict future demand and quickly react to changes in the market.
- 客戶案例 Funding for ground-breaking childhood cancer research fueled by analyticsThe Kids’ Cancer Project uses SAS to improve fundraising efforts for vital cancer research.
- 文章 Establishing a roadmap for government data analytics takes less time than you think Public sector groups need a strategy before taking on government data analytics. Learn how to get the most from your data.
- 白皮書 Improving disaster response efforts through dataThis 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.
- 文章 資訊超載時代,何不雇個智慧書僮為你擴增溝通力!資訊超載已成這世代的常態,社群與自媒體平台更是加速每位消費者的訊息產出量,如何在漫天的資訊裡利用「文字分析」敏銳地挖掘並解讀顧客及其社群的喜好、觀點,進一步掌握群體的脈動,成為近日企業面對市場溝通策略的新顯學。
- 白皮書 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.
- 分析報告 dbInsight: SAS Viya is living large on AzureLearn how Azure provides the onramp to a new customer base to take advantage of SAS capabilities without having to make big enterprise software commitments.
- 白皮書 The Power of CollaborationThis 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.
- 網路研討會 The promise of data fabrics for analytics and better decisionsDiscover how to make analytically driven decisions and realize the value of data assets.
- 白皮書 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.
- 客戶案例 Making buildings – and business – more secure with analytics and AIIndustrial company Comelit Group harnesses the power of SAS Viya 4 to modernize how decisions are made, combining the most successful analytics and AI platform with the flexibility and scalability of the cloud.
- 白皮書 From Value to Vision: Reimagining the Possible with Data Analytics
- 客戶案例 Building reliability in riskBanca Mediolanum uses SAS Viya to develop high-performing, reliable credit scoring models.
- 文章 What coaching a new driver and developing an analytics culture have in commonEight lessons that apply equally to nurturing an organization's analytics culture and instructing a young driver how to safely navigate the open road.
- 白皮書 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.
- 文章 Equifax uses trended data to better qualify loan applicantsMachine learning for credit scoring has helped Equifax analyze consumer data over time to determine which borrowers are trending in a positive direction and develop a more accurate measure than credit scores.
- 文章 Student lands dream job with help from SASA strong partnership between the University of Alabama and SAS put Cameron Jagoe on a path that led to his dream job with US Bank.
- 白皮書 Leadership and Big Data InnovationA Harvard Business Review Key Learning Summary
- 文章 How health care leaders deployed analytics when crisis hitDuring the COVID-19 pandemic, some health care providers were well-positioned to respond to rapid changes in demand. The factor that most distinguished them was that they already had a strong capacity in place for using data to inform decisions. Read about three key takeaways from their experiences.
- 客戶案例 Forecasting helps Wescom Credit Union save millions of dollarsWescom Credit Union increases lending decision accuracy by at least 50%.
- 文章 Five questions to help bridge the analytics gapEveryone is turning to analytics for a competitive edge. But the real advantage is in using analytics as a tool for exploration and innovation.
- 文章 The advanatges of an analytics cultureGen. Colin Powell and SAS experts focus on the topic of culture and how to change an organization’s DNA to meet the challenges of this brave, new analytics world.
- 分析報告 SAS is a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2023.The Forrester Wave™: AI Decisioning Platforms, Q2 2023 recognizes SAS for seamlessly integrating world-class analytics for decisioning.
- 電子書 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.
- 文章 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.
- 白皮書 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.
- 客戶案例 Predictive analytics and AI deliver a winning fan experience The Orlando Magic uses mobile app data and machine learning to personalize marketing campaigns and analyze game data.
- 客戶案例 University uses analytics to ensure student successWestern Kentucky University uses data visualization and advanced analytics to make informed decisions.
- 文章 Proactive detection – A new approach to counter terrorTo counter terror, investigative teams can better utilize the data they already have by applying a fresh approach with these steps to proactive detection.
- 客戶案例 Improving loss ratios and profitabilityTriad Analytic Solutions helps insurers benefit from advanced analytics.
- 電子書 白皮書 Tomorrow's telcoCSPs spend more than 50 percent of their budgets on growing their networks, but few use analytics to guide capacity-planning decisions. Studies and surveys show that churn is a direct result of CSPs not knowing their customers well. How can CSPs learn to do more with less? The answer is advanced analytics.
- 客戶案例 Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyondTelefónica Ecuador accelerates digital transformation, improves campaigns and achieves growth via intelligent decisioning powered by SAS.
- 客戶案例 Integrated marketing improves results for marketers and customersDigital insurance company InShared uses SAS Customer Intelligence 360 to improve services and extend personalized offers.
- 系列 Data drives destinyUS community colleges need to train 11 million more skilled workers by 2025. Karen Stout, CEO, Achieving the Dream, explains how data can make it happen.
- 白皮書 The Autonomous Grid in the Age of the Artificial Intelligence of ThingsExplore how AI and IoT work together to deliver everything from improved threat detection to better customer engagement for utilities.
- 文章 What do drones, AI and proactive policing have in common?Law enforcement and public safety agencies must wrangle diverse data sets – such as data from drones – in their proactive policing operations. To be most effective, they need modern tools that support AI techniques like machine learning, computer vision and natural language processing.
- 文章 資料科學家還在自己做資料清理與特徵工程?怎麼不讓 AutoML 來幫你!
- 白皮書 Data, Analytics & AI: How Trust Delivers ValueThe 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.
- 白皮書 Choosing New Slots? Here’s a Game-Changer.This conclusions paper presents highlights of a SAS webinar showing how a unique combination of data profiling, statistical forecasting and optimization can improve slot floor performance, utilization and patron satisfaction.
- 客戶案例 將來自物聯網車輛的 IoT 資料應用至工作中Iveco 集團在Amazon Web Services上使用 SAS Viya 來改善其卡車的汽車設計和遠端診斷。
- 電子書 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.
- 客戶案例 Self-service analytics advances higher educationThe University of Central Florida depends on analytics and data visualization to uncover insights for increased student success.
- 文章 Sensing a disturbance in the dataAs IoT data unites with event stream processing (ESP), these combined forces will automatically sense data pattern deviations and trigger immediate response.
- 文章 後Cookie時代,以AI打造「客戶決策平台」追緊消費者足跡疫情加快數位轉型的腳步,讓全世界意識到數據蒐集的重要性,過去我們同步仰賴第三方cookies跨網站追蹤,然而,隨著消費者隱私意識逐漸覺醒,與GDPR及個資保護法規日益嚴格,至2022年底前,瀏覽器將會陸續停用第三方cookies。
- 文章 Saving lives during a global pandemic through medical resource optimizationCleveland Clinic is operationalizing analytics to combat COVID-19, creating innovative models that help forecast patient volume, bed capacity, medical equipment availability and more.
- 文章 Can data sharing lead to cancer discoveries?Clinical trials can bring new drugs – and new hope – to the market for cancer patients. Now, a new data sharing platform for clinical trial data brings even more hope.
- 文章 When it matters: Safeguarding your organization from the insideWith evolving threats, fraud detection technologies have to be flexible and nimble, and automated risk detection is a crucial component of decision advantage.
- 電子書 How to Maximize the Impact of your AnalyticsFind 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.
- 客戶案例 Jakarta Smart City uses IoT analytics to better serve residentsJakarta and SAS team up to create an award-winning approach to public services and disaster management.
- 分析報告 Maximizing Innovation in Digitally Maturing Process ManufacturingThis report outlines the roadmap that digitally maturing process manufacturers must follow to identify and build the core competencies needed to use transformation as a competitive advantage.
- 客戶案例 Hospitals save time and money with real-time medical device tracking Jan Yperman Hospital uses Blyott and SAS Visual Analytics on SAS Viya to monitor hospital asset locations and ensure optimal purchasing decisions.
- 白皮書 TDWI Best Practices Report | Faster Insights from Faster Dataresearch report on improving speed to insight
- 分析報告 SAS Inside Intelligence 2023 ConferenceThis IDC Link focuses on SAS' responsible innovation initiative and the importance of building trust, transparency and information privacy in machine learning and AI life cycle technologies and applications.
- 白皮書 Combining Robotic Process Automation and Machine LearningLearn how you can make robotic process automation smart by adding machine learning to it.
- 白皮書 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.
- 案例分析 Thwarting disruption with strategic investments in innovationNational Australia Bank turns to innovative strategies, like hackathons, to find new solutions to emerging challenges.
- 文章 Seven tips for creating a self-service BI governance strategySelf-service BI and IT governance – sometimes the two seem at odds. Can they coexist peacefully? Live happily ever after? TDWI thinks so. They offer seven tips for creating a strategy that works for both.
- 白皮書 Forecast Value Added Analysis: Step-by-StepThis 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.
- 客戶案例 Maximizing the reach and impact of an eHealth hubMedical research facility Black Dog Institute partners with SAS to support health care workers’ mental well-being during the COVID-19 pandemic.
- 文章 Fraud detection and machine learning: What you need to knowMachine learning and fraud analytics are critical components of a fraud detection toolkit. Here’s what you’ll need to get started – from integrating supervised and unsupervised machine learning in operations to maintaining customer service while defending against fraud.
- 文章 線下轉線上,企業的極速轉型!對有實體店面的零售業、餐廳及銀行分行來說,從線下轉到線上數位通路的經營是唯一的出路。然而經營數位通路絕非只是在 Google 或臉書下廣告就能創造營收,如何在流量導引到自家網站後,即時分析客戶行為,依照喜好給予最佳商品推薦,才是創造下單成交的關鍵。
- 文章 Key questions to kick off your data analytics projectsThere’s no single blueprint for starting a data analytics project. Technology expert Phil Simon suggests these 10 questions as a guide.
- 電子書 Building your data and analytics strategyLaunch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly data-driven.
- 白皮書 The Machine Learning LandscapeThis 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.
- 客戶案例 One of the largest multi-sport clubs in Portugal aims to win big with analyticsSport Lisboa e Benfica modernizes its operations with SAS Analytics, as it looks to expand internationally.
- 分析報告 SAS is a Leader in The Forrester Wave™: AI / ML Platforms, Q3 2024
- 白皮書 Data, analytics and machine learning: The new frontier of fraud preventionThe Economist explores how global financial institutions are using advanced technologies such as machine learning to support fraud and security intelligence.
- 電子書 Using data to change the worldIt’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.
- 文章 Viking transforms its analytics strategy using SAS® Viya® on AzureViking is going all-in on cloud-based analytics to stay competitive and meet customer needs. The retailer's digital transformation are designed to optimize processes and boost customer loyalty and revenue across channels.
- 系列 Data drives destinyUS community colleges need to train 11 million more skilled workers by 2025. Karen Stout, CEO, Achieving the Dream, explains how data can make it happen.
- 客戶案例 客戶案例 物聯網數據結合人工智慧成功減少停機時間,協助貨車車隊持續運行Volvo Trucks 和 Mack Trucks 使用感測器數據和 SAS® 人工智慧解決方案,減少非預期停機時間
- 文章 From lab to lifeOnce you've created your analytical model, you need to put it to use. Here are tips from finance industry experts to get your models in the hands of users.
- 客戶案例 Managing mergers and analytics: Ensuring reliable energy by eliminating riskWhen the Belgian grid operators Eandis, Infrax and Integan merged into Fluvius, the new company turned to SAS for an analytics solution to screen its procurement systems and identify risks at an early stage.
- 文章 Five ways to approach analytics differentlyGo beyond the conventional, the insane and the dabbling. Here are 5 ways to rethink how you do analytics.
- 系列 Meet the data scientist: Victor FangLike many in Silicon Valley, Victor Fang has been a data scientist since before the title was coined. Read this analytical professional's Q&A.
- 客戶案例 Protecting nature with dollars and senseThe Nature Conservancy uses SAS Customer Intelligence 360 to modernize its marketing strategy and maximize donations for a more sustainable planet.
- 客戶案例 Changing the data conversation in Ohio schoolsHow the Gallia-Vinton Educational Service Center is transforming education one data conversation at a time
- 白皮書 Thirsting for Insight? “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.
- 文章 Smart cities, smart energy solutions – thanks to the IoTFind out how Envision America and CPS Energy are using the IoT and analytics to make cities smarter and transform energy programs.
- 白皮書 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.
- 客戶案例 Optimizing bus routes helps funnel cost savings back to schoolsBoston Public Schools uses SAS Analytics to consolidate stops, improve student experience and save money.
- 文章 Using Hadoop as an Analytics CatalystLearn how to get the most out of Hadoop by developing a sound strategy for analyzing data in this new storage environment.
- 電子書 Public service of the futureNever before have governments been asked to do so much, so fast, while facing considerable pressures – rising customer service expectations, fiscal constraints, overstretched organizations and workforce fatigue. Technologies like AI and generative AI are shifting the limits of what is possible – enabling fresh ideas about how public sector organizations can deliver services and helping to rethink what services are offered. From national to local government, law enforcement to health and defense to education, great strides are being made to deliver better outcomes and experiences. In this e-book, you will discover six considerations for improving productivity and ensuring public servants have the time to focus on what matters. Here's a sneak peek: · How do different demographics engage with public services and how do you serve everyone? · Are traditional processes meeting your organization’s needs? Would updating and modernizing help you achieve increased operational efficiency? · How AI is a catalyst for organizational transformation.
- 文章 為何已導入 AI,營運效率還是 NG?讓 AI 上雲提升企業數位韌性
- 電子書 Data scientists use SAS Viya on Microsoft Azure to develop big innovationsThis e-book features top solutions showcasing how global Hackathon teams used SAS Viya on Microsoft Azure to develop innovative approaches that save time, money, and entire ecosystems, such as the world's coral reefs.
- 分析報告 Data-Driven Grid Reliability: IoT Sensing and Analytics to Enable Predictive Maintenance and Improve ResiliencyLearn how the emergence of artificial intelligence, IoT sensors, advanced analytics and predictive maintenance within utility distribution systems can significantly improve reliability and build resiliency in the power grid.
- 白皮書 Demand ShapingDemand 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.
- 文章 How openness can supercharge event stream analyticsWhat does openness do for event stream analytics? David Loshin shows how it helps you speed and govern the full streaming analytics life cycle.
- 客戶案例 SAS Viya and open source: Innovation through collaborationHealth insurer Techniker Krankenkasse works with SAS to build innovative pattern recognition capabilities.
- 文章 Machine learning and artificial intelligence in a brave new worldWhat is the interplay between man and machine in a brave new world with AI?
- 文章 Load Forecasting: Ensuring supply meets energy demandLoad forecasting helps energy suppliers meet demand for residential and commercial customers. As renewable energy resources increase, the necessity for a technology platform that adapts to load forecasting requirements becomes crucial.
- 白皮書 Pioneering Ethical AI: The Crucial Role of Property and Casualty InsurersInsurers have long been global leaders in addressing risks and protecting people and businesses. As artificial intelligence continues to revolutionize how business gets done, it is redefining how insurers can deliver on their promises. Read this paper to learn from industry veterans and AI experts alike about: • The state of AI regulations globally. • The multifaceted role insurers can play in developing AI ethics. • Why insurers are uniquely qualified to use AI (and GenAI) – and how they’re using these technologies today. • An approach to an ethical AI framework that any insurer can follow to establish their own AI narrative.
- 客戶案例 Manufacturing smarter, safer vehicles with analyticsKia Motors America relies on advanced analytics and artificial intelligence solutions from SAS to improve its products, services and customer satisfaction.
- 客戶案例 Child support agency uses analytics to provide better options for parentsCalifornia’s Orange County Child Support Services uses analytics from SAS to empower caseworkers to help parents make decisions that benefit their children.
- 客戶案例 One of the world’s largest manufacturers curbs employee turnover using people analyticsYildiz Holding uses predictive modeling from SAS to identify, hire and retain high-value employees.
- 白皮書 Machine learning and artificial intelligence in a brave new worldMachine 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.
- 文章 不用說,我都能懂!「機器學習」給零售業的新解方近期談及零售業的轉型,總是浮現幾個令人興奮的名詞:O2O(Online to Offline)、虛實整合、新零售,還有美、中兩大電子商務平台紛紛開設實體商店等訊息。零售產業生態被翻轉攪動,這波浪潮鼓動了一股企業朝向擁有數位實體通路兼備、持續擴大與消費者接觸點的策略。
- 客戶案例 Workplace solutions retailer creates compelling customer experience via data-driven marketingViking Europe drives change by putting SAS Customer Intelligence 360 at the center of its digital transformation.
- 文章 體驗SAS文字分析的樂趣:IALP論文集的質化分析
- 白皮書 Seven trends that will transform bankingAdvanced analytics and big data are enabling smarter decisions and more efficient processes, from credit to compliance and risk management.
- 客戶案例 Specialist bank accelerates digital transformation with cloud migrationShawbrook Bank turns to SAS Viya on Microsoft Azure to enhance its application of analytics, mitigate risk and better meet customers’ evolving needs.
- 電子書 Make Every Voice Heard with Natural Language ProcessingNatural language processing: The communication link between human and machine intelligence.
- 文章 Using data to change the worldApplying data science for social good has led to new and creative ways to address issues related to education, poverty, health, human rights, the environment and more.
- 網路研討會 SAS® Viya® and the cloud: How SAS is changing the game it inventedJoin this webinar to learn how to make the most of cloud migration with SAS Viya.
- 白皮書 The impact of data and analytics on local governmentGlobally, 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.
- 客戶案例 Conservation efforts take flight with analyticsThe Royal Society for the Protection of Birds uses SAS to help safeguard wildlife.
- 客戶案例 Solving crime in less time with analyticsDelaware State Police use law enforcement solutions from SAS to help identify suspects, crack cases and protect communities.
- 白皮書 Text Analytics for ExecutivesThis 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.
- 文章 Making sense of streaming data in the Internet of ThingsThe Internet of Things has changed our lives forever. Read about how streaming data in IoT works, and why it has caused such a shift in the analytics world.
- 文章 迎向開放銀行第三階段,佈局「智慧中台」實現場景金融打造消費者無縫接軌的體驗,讓金融業迎來開放銀行的潮流,紛紛佈局未來的開放銀行第三階段,透過智慧中台,能協助金融業實現場景金融。
- 文章 Could APIs provide advanced analytics for the masses?Find out how APIs could make advanced analytics more prevalent and open up entire new markets to using the predictive capabilities of analytics.
- 文章 Respond, recover and reimagineDisruptions to our lives happen regularly, though most are not as far-reaching as the COVID-19 pandemic. Whatever their nature, it’s helpful to have a plan for how to exit disruption still on your feet and in the game. Learn about the three-phase approach SAS recommends for mitigating widespread disturbances.
- 分析報告 Matrix: Leading Fraud & AML Machine Learning PlatformsSAS is a best-in-class vendor in the most recent Datos Insights report, Matrix: Leading Fraud & AML Machine Learning Platforms.
- 電子書 Rising Waters and Rapid ResponsesGet an insider’s view of the tools and strategies that some leaders in flood management are already deploying to better protect their citizens, as well as case studies that show how these approaches work in real-world applications.
- 訪問 Location analytics: Why adding where makes BI betterLearn how location analytics can enrich your BI endeavors by blending geographic data, spatial analysis and business data for deeper insights.
- 電子書 Government and education: Leading through changeExplore the collected 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.
- 白皮書 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.
- 客戶案例 Smart data exploration advances K-12 public education programsThe South Carolina Department of Education depends on SAS to analyze data and properly fund and serve its school districts.
- 文章 Twelve questions to ask your data visualization software vendorIdentify which data visualization vendor’s applications, support models, deployment options and technology platforms align with the goals of your project.
- 文章 What is omnichannel analytics?Omnichannel analytics used to mean recognizing and marketing to customers across all channels. Now, smart retailers know it can, and must, mean so much more.
- 白皮書 Four Elements of Sustainability AnalyticsDirectors at consumer-packaged goods manufacturers who embrace sustainability grow their revenue while improving lives and environmental outcomes.
- 白皮書 How the first mile of consumer goods can fight climate changeInnovation via digital transformation in agriculture and consumer packaged goods presents a unique opportunity to capture sustainability and move toward scalable, market-driven improvements in the air, soil and water.
- 系列 Preparing a new generation for leadership in a big data worldWords of wisdom from university leader Dr. Michael Rappa on the role data scientists play, tips for hiring them and how to make the most of this career path.
- 網路研討會 From Idea to Action: The Keys to Real-World Evidence and AnalyticsReal-world data is the latest industry buzz, but is it that valuable? Without the power of analytics, it might not be.
- 文章 當超前部署成常態,國內醫療體系如何繼續立於不敗?2020年從開春動盪至今,幸而台灣在公衛與醫療體系的超前部署,讓我們得以領先全球,進入後疫情時代,努力踏上復甦之路。但展望未來,超前部署之外,國內醫療體系是否能藉此次衝擊更完備體質,迎接下次不可預期的大流行,或將這次應戰的動能反饋在優化日常營運上?
- 分析報告 The Total Economic Impact™ Of SAS Viya On AzureMicrosoft and SAS commissioned Forrester Consulting to conduct a Total Economic Impact™ study and examine the potential return on investment enterprises may realize by deploying SAS Viya on Azure.
- 電子書 The Mechanics of StorytellingAnalogies 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.
- 文章 Contact tracing investigations for public health: Technology enhances epidemic investigationWhat was once a cumbersome process that relied on an individual’s often incomplete or inaccurate memory, contact tracing investigations for public health has entered the digital era thanks to advanced analytics and data visualization.
- 文章 Internet of things applications across multiple industriesLearn about existing Internet of Things applications in five industries, and get advice on how to develop your own Internet of Things applications.
- 白皮書 The Risks and Rewards of AIExploring 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.
- 白皮書 Field Experience in Embedded AnalyticsA discussion summary from International Institute for Analytics
- 白皮書 How to realize value from cloud analytics faster — and with less cost and riskIn just a few years’ time, analytic and AI models have gone from being on-premises “pet projects” and proofs of concept to high-volume mission-critical technologies developed and deployed in the cloud to support business decisions at scale. But as Foundry’s survey reveals, most IT departments haven’t evolved how they will support and enable the new world of cloud analytics at scale.
- 客戶案例 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.
- 白皮書 TDWI Checklist Report Six Best Practices to Ignite the Customer Experience with IoTcustomer data, IoT
- 文章 Governed analytics and discovery: Balancing business user and IT needsTDWI provides seven steps for balancing IT governance needs with the expanding use of self-service BI and data discovery tools.
- 白皮書 Closing the OODA Loop: Using Big Data and Analytics to Improve Decision MakingCompress decision cycles and operate proactively by assessing and clearly defining goals and timelines before applying analytics to your most valuable data.
- 客戶案例 數位零售商藉由分析囊括銷售記錄Shop Direct 藉由 SAS 提供個人化客戶體驗並因此屢獲殊榮
- 電子書 Storytelling in Business: The plot, the players and the path to dynamic customer engagementTake an interactive look at how a newly appointed Customer Experience Manager (CEM) navigates his quest to create an omnichannel experience. This ebook walks through steps for building a team focused on a common goal and creation of a customer journey map. You’ll see how the CEM learns about the power of story as a communication tool to share the progress and success of the omnichannel project. It includes an interactive checklist you can use to see how storytelling is working for you.
- 客戶案例 Making connections through high-quality data to enhance public safetyThe West Virginia Fusion Center uses SAS Law Enforcement Intelligence on Microsoft Azure to manage data, share information and help agencies solve and prevent crimes.
- 文章 Turning the analytical talent gap into an analytical talent dividendHow important is analytical talent to your organization? If you’re aiming to become data-driven and turn data into insights, make it a top priority.
- 文章 Optimizing well placement to eliminate water poverty How data visualization is helping Water for Good bring fresh water to the Central African Republic.
- 白皮書 Utility analytics in 2017: Aligning data and analytics with business strategyTo 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.
- 白皮書 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.
- 訪問 The University of Alabama makes better decisions through education analyticsAt the University of Alabama, the Office of Institutional Research and Assessments uses analytics and data visualizations to uncover better student outcomes.
- 電子書 Mastering Model Lifecycle OrchestrationThis interactive guide describes the stages of the model life cycle and explains why organizations should embrace different programming languages, tools, techniques and runtime environments when developing and deploying models.
- 文章 Machine learning for beginners and beyondWhether you’re an experienced data scientist or a machine learning beginner, you’ll appreciate these 10 tips for getting started with machine learning.
- 網路研討會 Let’s Get Visual: Are You Ready for Next-Gen Demand Planning?Learn how top brands are reinventing demand planning to make intelligent decisions and automation seamless across their data.
- 系列 Meet the data scientist: Colin NugterenData scientist and CAO Colin Nugteren says while every day is different, one thing remains the same. He ends each day with SAS® Visual Analytics.
- 客戶案例 Predictive analytics empowers bank to act quickly with confidenceOTP Bank Romania can better assess risk, meet profitability targets and enhance customer satisfaction through a streamlined data mining process from SAS.
- 白皮書 Forecasting 101Organizations spend much time and money searching for a magic formula for the perfect forecast, yet still get bad forecasts. But it doesn't have to be this way. This paper provides a summary of a webinar in the SAS "Applying Business Analytics" series that discusses how businesses can achieve better accuracy and forecasting efficiency by understanding the nature of demand patterns and where the forecasting process is adding value — or not.
- 訪問 Data visualization: A wise investment in your big data futureData visualization technologies can help the practice of data-driven decision making really take hold. But putting data visualization software in the hands of business users? Is it crazy – or crazy smart?
- 文章 The transformational power of evidence-based decision making in health policyState health agencies are under pressure to deliver better health outcomes while minimizing costs. Read how data and analytics are being used to confront our biggest health care challenges head on.
- 訪問 How does a center of excellence really work?At the Cincinnati Insurance Companies, analytics is bridging the gulf between IT and business units and leading by example to form common measures and objectives.
- 文章 What are AI hallucinations?Separating fact from AI-generated fiction can be hard. Learn how large language models can fail and lead to AI hallucinations – and discover how to use GenAI responsibly.
- 客戶案例 Transformation of the National Bank of Greece with SAS Viya on Microsoft AzureLeading Greek financial institution pursues digital transformation backed by advanced analytics to become the bank of choice for businesses and private individuals.
- 客戶案例 Knowing the who, informs the whatThe New Zealand Ministry of Health established the Virtual Data Registry to more accurately identify diabetes sufferers and citizens likely to contract diabetes. They'll use the database to inform policy and spending decisions that will ensure better care for those patients.
- 文章 Using big data to predict suicide risk among Canadian youthSuicide is the second leading cause of death among youth in Canada. Here's how big data and analytics can be used to help identify at-risk teens.
- 客戶案例 Providing the best medical care via analyticsCrouse Hospital improves patient outcomes with data-driven approach.
- 白皮書 Machine Learning Use Cases in Financial CrimesLearn 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.
- 白皮書 From chaos to coherence: Managing pandemics with dataBased 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.