SAS Intelligent Decisioning 使您能夠在與客戶、合作夥伴、供應商和員工互動時做出最佳決策。
為您的所有使用情境提供即時決策。
無限數量的使用情境可根據商業規則和複雜的分析,將關聯性、互動、即時的決策大規模交給SAS Intelligent Decisioning 。在部署之前輕鬆測試決策,以確保它們提供預期的結果。穩健的管理可確保您的決策在整個企業中得到理解和信任。借助可擴充性以滿足您需求的雲端型架構,可以輕鬆處理大量資料和決策。透過與 IoT 裝置整合,助力在邊緣和串流中做出決策。
為所有專長、技能的使用者實現輕鬆協作。
無論您是偏好使用拖放式 GUI,還是偏好能夠撰寫程式碼,都可輕鬆建置和修改決策流程。透過瀏覽集中式資料、模型和商業規則存放庫,並從現有資產中進行選取,即可定義決策。比較不同的物件和版本,瞭解和追蹤變更,更輕鬆進行跨團隊協作。使用立即可用的角色型治理工作流程,將其套用於各種決策檢查點,確保準確性和任務透明度。
每次都做出最佳決策。
透過使用您喜歡的語言建立的公用 Repository 整合人工智慧和機器學習模型,來提高決策品質。
快速、一致地在決策中部署分析模型。
無論是使用 SAS、開放式程式碼或自訂程式碼,通用的決策撰寫和部署環境都能大幅縮短 IT 驗證和部署分析模型所需的時間。透過單一介面,您可以原生整合、管理和部署 SAS 和 Python 分析模型、自訂程式碼和商業規則,以相同邏輯執行批次和即時 Web 服務。這意味著更快完成部署,並對分析驅動型營運決策的完整性充滿信心。
在 Microsoft Power Platform 內利用 SAS Intelligent Decisioning 的強大功能
SAS Decisioning Power Connector 是經過 Microsoft Power Platform 認證的連接器,可讓您連結到 SAS Viya 環境並在 Microsoft Power App 或 Power Automate 中執行選取的決策模組和分析模型。SAS Decisioning 連接器使您可以輕鬆地將這兩個主流平台結合起來,以實現 AI 驅動的業務應用程序和流程。
以更少的精力快速執行更多決策。
SAS Container Runtime 是符合 OCI (Open Container Initiative) 的輕量級 Docker 容器,可執行 SAS 模型、Python 模型和 Python 程式碼。具有高度可擴展性,並可發布至 Microsoft Azure、AWS 和 GCP 上的任何容器登錄。然後,使用者可以充分利用雲端基礎結構,以最小的磁碟使用量進行部署。這確保您可以充分利用資源,快速執行最多決策,並減少管理環境所需的精力。
主要特色
借助 SAS Intelligent Decisioning,您可以輕鬆建立、管理和治理分析驅動的強大商業規則,以支援大規模決策。
資料存取、準備和品質
使用直觀的介面存取、分析、清理和轉換資料,該介面透過嵌入式 AI 提供自助式資料準備功能。
資料視覺化
透過單一自助式介面,直觀地探索資料、建立和分享智慧視覺效果和互動式報表。增強分析和進階功能可加速洞察,並幫助您發現資料中隱藏的情況。
方便使用的介面
使用拖放式 GUI 或以您選擇的語言編寫程式碼,輕鬆建置和管理最複雜的決策元素,包括決策流程、規則、資料來源程式碼節點,以及資料分析。
通用的決策制定和部署環境
簡化整個決策流程的驗證。完整的版本控制可在 IT 和業務人員共用的環境中保留文件記錄、測試可追溯性和連續性。
即時決策
在客戶互動和營運業務流程中,即時套用分析和商業規則。
可重複使用的內容
建立可重複使用的內容和自訂功能,以加速整個組織的決策制定。
快速、治理良好的決策生命週期管理
快速回應不斷變化的決策和客戶動態。在受控且安全的環境中加快常見的手動工作 (例如商業規則定義和部署),以確保決策品質和可稽核性。輕鬆整合貴組織的 CI/CD 流程。
與 SAS 機器學習和模型管理功能整合
與可視化機器學習結合使用,以實現整合的模型開發和管理功能 - SAS 和開放式程式碼。通用的模型 Repository 可促進集中式模型管理和監控。
雲端原生
SAS Viya 的架構精實、雲端原生且快速。無論您是喜歡使用 SAS Cloud 還是公用雲端或私人雲端提供商,都能充分利用您的雲端投資。
與 Microsoft 搭配使用效果更佳
SAS Decisioning Power Connector 使您能夠將決策作為 Microsoft Power Platform 的一部分。您可以輕鬆地在 Web 和行動應用程式中嵌入模型和決策。透過智慧決策自動化業務流程,並集中管理商業規則。
深入探索 SAS Intelligent Decisioning 和更多範疇
若要依類型瀏覽資源,請點選下列選項。
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- Analyst Report SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q1 2024.
- White Paper Customer Engagement Analytics: How to Use Data to Create (and Keep) Happy CustomersContact Center & Customer Experience Management
- Article The digitization of everything – its impact on the buyer’s journey and marketing’s roleFor nearly a century, the buyer’s journey was relatively linear. Advertising through mass media led to conversing with salespeople, friends and family. A purchase was made. But in today’s digitally networked world, studies show there are 3,000 different paths to purchase. How does marketing respond to this new reality? Brian Vellmure has answers.
- Article Do marketers need real-time analyticsHow can you ensure that real-time analytics enhances your customer and marketing operations? Here are four tips for applying real-time approaches.
- White Paper Creating Meaningful Data-driven Customer JourneysBuilding a brand to achieve customer trust through responsible, personalized engagement.
- Customer Story 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
- Article Effective real-time marketingEffective real-time marketing is about engaging with customers whenever and wherever they are in their buying journey. Organizations should also be focused on knowing what the customer wants (product, pricing, experience, etc.) based on real-time analytics and predictive modeling.
- Customer Story The right offer every timeMigros individualizes its marketing with SAS Customer Intelligence, sees response rates and revenue increase.
- Series Brand equity has a big role in RCI's strategyBrand equity isn't about what you sell, it's about your customers' perception of you, your products and your services. It's storable, but perishable.
- 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.
- White Paper Getting to Why in Omnichannel Marketing AttributionThis paper explores the role of advanced analytical tools in understanding customers, driving marketing effectiveness and optimizing strategies and tactics to maximize business results.
- White Paper Maximizing Moments of Truth: Creating Meaningful Real-Time Customer InteractionsThe digital marketplace presents new challenges for marketers, yet provides the perfect canvas for creating personalized, relevant communications and developing deep relationships with customers based on ongoing interactions.
- Article Marketing measurement do's and don'tsHow can marketers capture the C-suite's attention? Draw a clear line between marketing activities and results.
- Customer Story Customer Story 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
- Customer Story 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.
- Customer Story 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.
- E-Book The Path to a Single Customer ViewLearn how CDPs are evolving as marketing technology modernizes, possibilities for CDP use cases, how to define use cases, retailers that successfully use CDPs and what organizations should consider before selecting the CDP that's right for them.
- Customer Story 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.
- Analyst Report SAS Explore 2022 Review and AnalysisThis IDC Link focuses on several SAS announcements supporting faster time-to-value for AI/ML model-driven businesses.
- E-Book Transformational decision?Governments can incorporate AI-driven decisioning into existing business processes to take advantage of digital transformation benefits. Through automated processes, deeper insights and the ability to act quickly, governments can innovate service delivery, drive efficiency and help build a better future.
- E-Book Brilliant decision? In the battle for consumers’ hearts and minds, retailers have typically focused their digital transformation initiatives on customer experience and engagement. However, in these challenging times, it’s not enough to just get the customer’s attention — you need to convert impressions and site or store visits into sales and fulfilled orders.
- Article The 5 new rules of retailThere is good news for retailers. Analytics can help overcome some of the effects of disruption, allowing retailers to move from long-term seasonal forecasting to more agile planning.
- Article 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!
- Article 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.
- Analyst Report 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.
- Customer Story Reaching 3.6 million football fans via comprehensive marketing analyticsThe Royal Dutch Football Federation relies on SAS Customer Intelligence 360 to better understand what motivates players and fans, engage audiences with personalized communications, and promote the love of the game.
- Article 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。
- Article 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。
- Article 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.
- Article 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。
- Interview How do you know if you’re ready for Hadoop?Ask an early adopter. Epsilon VP of Products answers our Hadoop questions about implementation, preparation and scalability.
- Article Three ways to improve real time marketing resultsReal-time marketing enables you to reach customers during purchase deliberations to provide the push a campaign needs be wildly successful.
- Article What is marketing automation?Marketing automation uses the customer data you collect to create more effective campaigns and for better decisions across all channels – email, social and web.
- Article Reimagine marketing: Today, tomorrow and in times of disruptionPutting the customer first has never been more important than it is now. One way marketers can prepare for the new reality is to look at each step in the marketing process (the marketing lifecycle) and map martech capabilities into the lifecycle, based on what you are trying to accomplish with each step.
- Article Your customers aren’t afraid of new technologies. Are you? New research uncovered some interesting themes for the next decade of customer engagement. Surprisingly, consumers are embracing technology at a faster rate than brands might expect or admit.