SAS achieved category leader status for FRAML solutions largely because it offers in-depth analysis capabilities across all stages of the customer lifecycle, including data management, analytics, visualization and reporting.
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- e-Book A blueprint for demand planning evolution in four stagesAn interactive guide to planning during times of supply chain disruption.
- e-Book Retail Media: Own your customer journeyBrands are shifting their advertising budget toward retail media so they can precisely target their desired audience and reach shoppers who are actively in the purchasing mindset, which helps drive sales and generate revenue. As e-commerce continues to grow and competition intensifies, retailers that invest in retail media will be better positioned to succeed in a competitive market. With SAS 360 Match, brands can deliver highly targeted and personalized campaigns by using various data sources such as first-party, CRM and point-of-sale data.
- アナリスト・レポート SAS is a Leader in The Forrester Wave™: Enterprise Fraud Management, Q2 2024
- アナリスト・レポート 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.
- ホワイトペーパー In Pursuit of Consumption-Based Forecasting SAS-branded reprint of this new joint white paper published by the International Institute of Forecasters, co-authored by Charlie Chase, SAS Advisory Industry Consultant in the Retail & Consumer Goods LOB.
- ホワイトペーパー Life-Cycle Price OptimizationSAS can help customers develop well-thought-out markdown plans. Make critical markdown decisions quickly. And maximize margins and inventory sell-through and revenue.
- e-Book Profitability under pressure: 5 imperatives for maximizing value through analyticsA guide for retailers and consumer goods companies.
- ホワイトペーパー 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.
- 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.
- ユーザー事例 データを追加するだけ: データとテクノロジーは ── 人間味との組み合わせにより ── サステイナブルで質の高い料理体験をどのように生み出すのか?世界最大のパスタメーカーであるBarilla社は、高度なアナリティクスとAIを活用して全世界の在庫を追跡し、受注・配送を最適化することにより、急増する需要に対応しています。
- アナリスト・レポート Artificial Intelligence In Retail: What Now?This RSR Benchmark Report examines retailers’ attitudes about AI/ML technology and whether it can be used to turn data into insights and help retailers better understand the environments they operate in.
- e-Book Build Supply Chain Agility Through DigitizationLearn four key strategies organizations can use to perceive, measure and mitigate supply chain risks while improving overall resiliency.
- アナリスト・レポート 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.
- ユーザー事例 クラウドベースのアナリティクスとAIで顧客エンゲージメントを強化1-800-FLOWERS.COM社は、顧客の愛情表現、つながり合い、祝意伝達をSAS Viya on Azureで支援しています。
- ホワイトペーパー The Real-Time and Predictive Commerce Playbook for CMOsFind out how the shift toward real-time and predictive analytics is empowering retailers, and learn the top 10 actions you should take to become a successful retailer in the age of digital Darwinism.
- ユーザー事例 デジタル小売企業がアナリティクスを活用して記録的な売上を達成Shop Direct社は、SASを活用してパーソナライズされたカスタマー・エクスペリエンスを提供し、数々の業界アワードを受賞しています。
- ユーザー事例 Building supplier nails inventory managementTravis Perkins uses supply chain analytics from SAS to optimize inventory across its 2,000 stores.
- ホワイトペーパー Assisted Demand Planning Using Machine Learning for CPG and RetailIntelligent automation techniques can be applied to all kinds of activities across your organization to reduce the everyday repetitive work while uncovering key insights to improve the effectiveness of your processes, as well as your workforce.
- ホワイトペーパー A Practical View of New Product Forecasting In this paper, SAS and Virginia Commonwealth University School of Business examine the current state of new product forecasting and provide a clear, current look at how your peers are using analytics and technology to improve their new product forecasting capabilities.
- ホワイトペーパー Improving Inventory Replenishment for Retail Product PromotionsThis paper describes how inventory optimization solutions must better mimic real-world conditions to accommodate promotional demands in order to truly optimize the replenishment process.
- ホワイトペーパー Size Optimization Made Easy With Machine Learning and AnalyticsDiscover how size optimization can help you meet the challenges of assortment management by enabling you to estimate actual customer size demand. There is an answer to these problems – size optimization.
- ホワイトペーパー Modernize Merchandise Planning With Retail AnalyticsDiscover the top five strategies for modernizing merchandise planning with retail analytics.
- 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.
- ホワイトペーパー 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.
- ホワイトペーパー 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.
- e-Book Four Use Cases Show Real-World Impact of IoT This TDWI e-book explores in detail what IoT means and how different industries are taking advantage of it.
- ホワイトペーパー IoT in Retail: Engaging the Connected Customer How do you make your brick-and-mortar stores as smart as your website so when customers walk in the door, you recognize them and cater to their individual tastes? Learn the key to making in-store shopping as frictionless for your customer as online shopping.
- ユーザー事例 The right offer every timeMigros individualizes its marketing with SAS Customer Intelligence, sees response rates and revenue increase.
- アナリスト・レポート Gartner、「品揃え管理アプリケーションに関するMagic Quadrant」でSASをリーダーと位置付け(英語)
- アナリスト・レポート 高度なアナリティクス: 小売企業の顧客重視戦略(英語)
- アナリスト・レポート 最先端のマーチャンダイジング: 新しいツールと手法による複雑さの管理(英語)
- 記事 現代の「消費者像」にみる7つの特徴Bay、Chico’s、ブルックスブラザーズのビジネスリーダーが語る今日の購買者
- 記事 モノのインターネットがもたらすビジネスチャンス自動車から、医療機器から、スマートフォンの位置情報から、多様な「モノ」から生みだされるストリーミング・データは、現状を監視するために、そして未来を予測するために役立ちます。モノのインターネットのデータ分析によってもたらされるビジネスチャンスを、いくつかの業種を例にご紹介します。
- ホワイトペーパー 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.
- e-Book Achieve Data-Driven Digital Transformation in Retail and Consumer GoodsTo increase profitability, teams must be able to quickly transform raw data into operational insights that support every kind of decision they make.
- ホワイトペーパー SAS and C.H. Robinson: Rewriting the Rules of Demand Planning, Forecasting and Transportation ManagementCOVID-19's significant and lasting disruptions to the global economy and supply chains have revealed costly vulnerabilities in global supply chains, as well as the need for new, forward-looking planning capabilities that anticipate and account for disruptions.
- ホワイトペーパー Using SAS® for aggregate-level, driver-based demand planning This paper outlines methods to derive detailed shipment plans based upon point-of-sale (POS or consumption) data -- all while reducing forecasting errors and planner workloads in the process.
- ホワイトペーパー Using Advanced Analytics to Model, Predict, and Adapt to Changing Consumer Demand Patterns Affected by COVID-19SAS advanced analytics and predictive modeling tools can help businesses understand demand, adjust strategies, and emerge stronger and more agile than ever.
- ホワイトペーパー AI and analytics are powering a demand planning and customer experience revolutionToday, thanks to next-day shipping, product shortages and transportation disruptions, availability and delivery speed have become the deciding factor for consumers, making inventory availability the ultimate competitive advantage for retailers.
- ホワイトペーパー 業界の概要 Using Machine Learning and Demand Sensing to Enhance Short-Term ForecastingEffective supply chain management is critical to ensure the timely replenishment of products by properly managing the movement and storage of raw materials and finished goods from the point-of-origin to the point-of-consumption.
- ホワイトペーパー The Impact of Machine Learning on Demand Planning PrecisionAdvanced analytics and intelligent automation are laying the foundation for a powerful new model that can improve demand planning processes and increase forecast accuracy, leading to significant cost savings for consumer goods organizations
- e-Book 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.
- e-Book Retail Experimentation: The New FundamentalsFacing growing pressure to compete for customers on the quality of their customer experience, many retailers are taking an even more rigorous, scientific approach to improving that experience through experimentation.
- e-Book Internet of Things: Understanding the JourneyWhether your focus is business outcomes or technology challenges, this guide provides the insights to accelerate your IoT journey.
- 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.