与客户、合作伙伴、供应商和员工进行互动时,SAS Intelligent Decisioning 可以帮助您制定最佳决策。
为您的所有用例提供实时决策。
根据业务规则和大量完善的分析结果,向任何用例交付相关且可交互的实时决策。在部署前进行简便的决策测试,确保实现预期结果。强大管控功能可确保您的决策在整个企业中获得正确理解和信任。凭借基于云的架构,可以轻松处理大量数据和决策,同时加以扩展来满足您的需求。此外,还能通过与物联网设备进行集成,在边缘和数据流中完成决策。
与技能水平各异的用户实现轻松协作。
无论您偏好拖放式 GUI 还是编写代码,都可以轻松构建和修改决策流程。通过浏览集中式数据、模型和业务规则储存库,并从现有资产中进行选择来定义决策的能力。比较不同的对象和版本以了解和跟踪变更,简化团队之间的协作。使用即时可用、基于角色的治理工作流程来应用各种决策检查点,确保准确性和任务透明性。
始终做出最佳决策。
通过整合通用储存库中的人工智能和机器学习模型改进决策质量,这些模型使用您的首选语言创建。
一致且快速做出部署分析模型的决策。
通用的决策编写和部署环境可显著减少 IT 验证和部署分析模型所需的时间,无论是用 SAS、开源代码还是自定义代码编写。通过单一界面,您可以原生集成、管理和部署 SAS 和 Python 分析模型、自定义代码和业务规则,批量和实时 Web 服务执行的逻辑相同。这意味着部署速度更快,让用户更加信任基于分析结果的运营决策。
充分利用内置于 Microsoft Power Platform 的 SAS Intelligent Decisioning 功能。
SAS Decisioning Power Connector 是 Microsoft Power Platform 中的一种认证连接器,能让您连接到 SAS Viya 环境,并在 Microsoft Power App 或 Power Automate 中运行选定的决策模块和分析模型。借助 SAS Decisioning 连接器,您可以轻松地将两个先进平台相结合,获得基于人工智能的业务应用和流程。
事半功倍的决策制定。
SAS Container Runtime 为符合轻量级 OCI(开放容器计划)标准的 Docker 容器,可用于执行 SAS 模型、Python 模型和 Python 代码。其具有高度的可扩展性,可以发布到 Microsoft Azure、AWS 和 GCP 上的任何容器注册表。之后,用户可以利用云基础架构,以最小的占用空间进行部署。这可以确保您充分利用自身资源,快速执行更多决策并减少管理环境所需的工作量。
免费试用
试用最新 SAS Viya 功能。
获取 SAS Viya 14 天免费试用,其中包括此套件以及整个分析生命周期的功能。
主要功能
借助 SAS Intelligent Decisioning,您可以轻松创建、管理和治理以分析为导向的可靠业务规则,实现强大的大规模决策。
数据访问、准备和质量
使用直观的界面进行数据访问、分析、清理和转换,该界面通过嵌入式 AI 提供自助数据准备功能。
创建自定义聊天机器人
通过直观的低代码可视化界面创建和部署自定义自然语言聊天机器人,通过聊天机器人获取有用信息并实现出色的对话式用户体验。
数据可视化
通过单一的自助服务界面直观地浏览数据,创建和共享智能可视化和交互式报告。增强分析和高级功能可助力用户快速获得洞察,帮助您发现数据中隐藏的信息。
友好的用户界面
使用拖放式 GUI 或您选择的语言编写代码,轻松构建和管理包括决策流、规则、数据源代码节点和分析结果在内的最复杂的决策元素。
通用决策制定和部署环境
简化整个决策流程的验证。完整的版本控制流程可在 IT 和业务部门共享的环境中保留文档,并对可追溯性和连续性进行测试。
实时决策
在客户交互和运营业务流程期间实时应用分析和业务规则。
可重用内容
创建可重用内容和自定义功能,在整个组织中加速决策制定。
快速高效的决策生命周期管理
快速响应不断变化的决策和客户动态需求。在安全可控的环境中加速处理常见手动任务,例如业务规则定义和部署,确保决策质量并实现有效审计。最终,轻松完成对组织 CI/CD 流程的集成。
集成 SAS 机器学习功能和模型管理功能
通过可视化机器学习技术,实现集成模型开发和管理功能(包括 SAS 和开源)。普通模型储存库有助于实现集中化模型治理和监控。
云原生
SAS Viya 的基础架构具有紧凑、云原生和快速的特性。无论是更青睐 SAS 云还是公共云或私有云提供商,您都可以将云投资发挥到极致。
与 Microsoft 强强联合
SAS Decisioning Power Connector 能帮助您将决策功能整合至 Microsoft Power 平台。您能在 Web 和移动应用中轻松嵌入模型和决策。通过智能决策实现业务流程自动化,并实现对业务规则的集中管理。
深入了解 SAS Intelligent Decisioning 和其他产品的更多信息
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- 分析报告 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.
- 文章 Contextual engagementCreating contextual customer engagements means understanding enough about each customer to ensure that all communications over time are progressively more anticipated, personal and relevant.
- 白皮书 Customer Engagement Analytics: How to Use Data to Create (and Keep) Happy CustomersContact Center & Customer Experience Management
- 客户案例 Modern, real-time marketing grew membership and incremental sales for leading grocery retailerMigros uses SAS MarTech solutions to personalize customer journeys, optimize campaign strategies and enhance customer engagement.
- 客户案例 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
- 客户案例 Voetbalmedia uses martech from SAS to better engage with 1.4 million football players and enthusiastsSAS Customer Intelligence 360 helps Dutch football platform improve user reach and participation through unique offers and experiences.
- 客户案例 Predictive analytics and AI deliver a winning fan experience The Orlando Magic uses mobile app data and machine learning to personalize marketing campaigns and analyze game data.
- 分析报告 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.
- 文章 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.
- 白皮书 Creating Meaningful Data-driven Customer JourneysBuilding a brand to achieve customer trust through responsible, personalized engagement.
- 文章 IoT: The customer experience accelerator you can't afford to ignoreIoT represents a powerful source of data that, when combined with analytics, can yield insights on everything from behavior to emotions to health. And that's why it's key to improving customer experience.
- 电子书 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.
- 白皮书 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.
- 白皮书 Improving HCP Engagement with Digital AnalyticsDigital analytics can facilitate practical insights for enhancing customer experiences and improving digital engagement.
- 文章 大数据引发的隐私讨论大数据是如何影响你的隐私?在这个不断提高透明性的危险世界中,你如何平衡隐私和安全保密?必需要展开讨论,不然就太晚了。Tamara Dull说。
- 白皮书 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.
- 文章 Marketing measurement do's and don'tsHow can marketers capture the C-suite's attention? Draw a clear line between marketing activities and results.
- 文章 The marketing analytics must-havesMarketing analytics will attune you to the true signals of what matters to customers as channels, technologies and data push the digital world forward.
- 客户案例 Finland’s top retail bank applies AI to improve customer service and credit scoringS-Bank provides better customer service and faster, more accurate loan processing time using SAS Viya on Azure.
- 客户案例 Norway’s largest telecommunications, media and technology provider adapts to rapidly changing customer expectations using a hybrid cloud approachTelenor relies on SAS Viya on Azure and SAS Customer Intelligence 360 to provide fast, personalized customer service based on real-time analytics.
- 白皮书 The Internet of Things: Marketing’s Opportunities and Challenges Learn how marketers can apply event-based marketing and real-time marketing capabilities to capitalize on IoT data in the moment by pinpointing significant customer events, which then trigger real-time customer decisions. The result? Best offers delivered in real time, given the consumer’s current context.
- 电子书 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.
- 白皮书 Keys to robust credit risk modeling and decisioning for better customer experienceModernizing and automating the end-to-end process for origination and servicing – from data management to model development to credit decisions – can reduce credit losses and boost performance. This paper explores how infusing machine learning into this process supports more effective credit decisions for individuals, products or portfolios.
- 分析报告 SAS Explore 2022 Review and AnalysisThis IDC Link focuses on several SAS announcements supporting faster time-to-value for AI/ML model-driven businesses.
- 电子书 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.
- 分析报告 白皮书 Marketing Analytics for Manufacturing: Forging Customer InsightsBusiness Intelligence
- 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.
- 文章 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.
- 客户案例 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.
- 客户案例 Integrated marketing improves results for marketers and customersDigital insurance company InShared uses SAS Customer Intelligence 360 to improve services and extend personalized offers.
- 文章 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.
- 客户案例 Complex telco product portfolio, maximum agility thanks to intelligent decisioningGerman telco provider 1&1 works with SAS and partners to improve offer management, accelerate time to market and enhance the customer experience.
- 文章 Marketing optimization: Five lessons learned at a major US bankHow does a bank know what you need when you visit its website, open the mobile banking app or walk into the branch? For one of the largest banks in the US, the answer is marketing optimization. Here are five lessons they’ve learned.
- 文章 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.