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Технический документ
Sales & Marketing Report 2017 - The Digital Experience
CGT’s Sales & Marketing Report 2017, sponsored by SAS, looks at progress on several key topics, including supply chain, trade promotion, direct-to-consumer marketing, data and analytics, security and the digital enterprise.
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Технический документ
Demand Signal Analytics
There are challenges to becoming a demand-driven organization. Many of the data sources are new for most companies, so ownership, expertise and governance are important. Many executives say that their organizations are still in the early stages of data integration and cleansing due to poor data quality and lack of internal skills for maximizing analytic benefits. What does it take to move toward becoming an organization that can take full advantage of its data using predictive analytics? In this paper, industry expert Charles Chase explains the tools you will need to become a demand-sensing master.
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Технический документ
Digital Intelligence: The Heart of Successful Digital Transformation
This paper explores how digital transformation is changing marketing and customer experience throughout industries, including banking, retail and telecommunications. It also covers the importance of data in digital intelligence and discusses strategic ways to build a digital intelligence platform.
- Аналитический отчет IDC Perspective: Highlights from the 2018 European SAS Conference for Industry AnalystsThis IDC Perspective summarizes key takeaways from the annual European SAS Conference for Industry Analysts.
- Article Ситуационная осведомленность определяет нашу реакциюМногие обстоятельства требуют ситуационной осведомленности, то есть осознания того, что происходит вокруг. Пандемия COVID-19 усилила эту потребность, поскольку лидеры во всех отраслях использовали аналитику и визуализацию, чтобы получать ситуационную осведомленность в реальном времени и быстро реагировать на важные решения.
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Технический документ
Modernize Merchandise Planning With Retail Analytics
Discover the top five strategies for modernizing merchandise planning with retail analytics.
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Технический документ
Combining Analytics and Structured Judgment: A Step-By-Step Guide for New Product Forecasting
New product launches are the most difficult to forecast. The uncertainty associated with a new product is much greater than that of forecasting older, more mature products. This uncertainty and the lack of historical data make traditional time series techniques unreliable. But using historical data associated with similar, previously launched products, combined with your domain knowledge in a structured process, can be an effective approach to forecast the demand for new products.
- 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.
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Технический документ
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.
- Article How Walmart makes data work for its customersTips from the world's largest retailer on building an infrastructure that makes data work for its 240 million customers a week.
- Article «Подключенный» потребитель: влияние Интернета вещей на будущее ритейлаВсе чаще розничные магазины используют возможности Интернета вещей (IoT), чтобы «подключиться» к потребителю. Эта технология революционным образом меняет процесс покупок и ожидания потребителей, связанные с их любимыми магазинами.
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E-Book
3 Building Blocks of Optimized Price & Promotion Strategies
Discover the key factors affecting merchants’ plans for improved pricing and promotions, with a focus on consolidating and analyzing disparate data sources.
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E-Book
3 Building Blocks Of Optimized Price & Promotion Strategies
This e-book examines the key factors affecting merchants’ plans for improved pricing and promotions, with a focus on how to consolidate and analyze disparate data sources.
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Технический документ
Improving Inventory Replenishment for Retail Product Promotions
This paper describes how inventory optimization solutions must better mimic real-world conditions to accommodate promotional demands in order to truly optimize the replenishment process.
- Технический документ 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.
- Технический документ 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 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.
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Технический документ
Shopper Insights to Improve Retail Loyalty Programs
Leveraging Kellogg’s experiential learning initiative, SAS worked with a group of MBA marketing research students to find out what drives retailer loyalty. The findings offer guidance on how retailers can improve their loyalty programs.
- Технический документ Life Cycle Price OptimizationThis paper illustrates how SAS Markdown Optimization can help customers develop well-thought-out markdown plans. Make critical markdown decisions quickly. And maximize margins and inventory sell-through and revenue.
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E-Book
Four Use Cases Show Real-World Impact of IoT
This TDWI e-book explores in detail what IoT means and does for retailers, the automotive industry, state and local governments working with utilities firms, and the manufacturing industry. Common themes include connectedness, data-driven insights, predictive capabilities and transformation.
- Аналитический отчет Top Strategic IoT Trends and Technologies Through 2023In this report, Gartner examines 10 longer-term IoT technologies and trends that will be important in the 2018 through 2023 time frame.
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Технический документ
Using Multitiered Causal Analysis to Improve Demand Forecasts and Optimize Marketing Strategy
Multitiered causal analysis (MTCA) enables consumer packaged goods (CPG) manufacturers to measure the impact of marketing on retail consumer demand and perform what-if analysis to predict and maximize future demand. This case study excerpted from the book Demand-Driven Forecasting, by Charles Chase of SAS, shows how one beverage manufacturer employed MTCA to improve its demand forecasts and optimize marketing strategy.
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Технический документ
EKN Report: Big Data in Retail
This research report outlines how retailers can get started with a pragmatic approach to big data, once their need and readiness is established.
- Технический документ Building Data-Driven Supply-Chain Resilience for 2020 - and BeyondThis paper explores the many ways implementing next-generation best practices and technologies can improve supply chain performance today and tomorrow.
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Технический документ
The Analytics Mandate: Helping Retailers Evolve
Find out why 77 percent of retailers who participated in an MIT Sloan survey believe analytics provides a competitive advantage compared with 64 percent of respondents from other industries.
- Технический документ Industry Overview 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.
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Технический документ
Size Optimization Made Easy With Machine Learning and Analytics
Discover 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.
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Технический документ
The Art of Decisive Merchandising
This research report discusses which changes in merchandising offer the most painful obstacles to overcome and which ones open doors to the most promising opportunities.
- Технический документ Understanding Data Streams in IoTThis paper explains how streaming analytics helps you acquire, understand and use real-time, streaming data to make fact-based, automated decisions – and instantaneously react to new information.
- Article Утконос: работа с данными как часть трансформацииЕсть огромный объем задач, в которых применение продвинутой аналитики даст более существенный эффект, чем традиционные подходы. И они совершенно точно должны решаться централизованно.
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Технический документ
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.
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Технический документ
The Analytics Arms Race: May the Best Insights Win
Industry leaders CGT and RIS have joined forces for this annual check on the analytics maturity level in CPG and retail.
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E-Book
How can retailers satisfy today’s customers?
With omnichannel analytics, you can use all the data you’re collecting on multiple channels, combine it with product data to improve all retail operations, while also improving the customer experience.
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Технический документ
Analytically Driven Pricing
Traditional, cost-based pricing for transportation services can lead to less-than-optimal profits and revenues. In contrast, using analytics-driven pricing, companies can bring together relevant internal and external data and harness analytics for accurate customer segmentation, price-demand estimation, forecasting and price optimization. This approach allows them to consistently optimize pricing decisions for better business performance
- Аналитический отчет SAS is a Leader in The Forrester Wave™: Real-Time Interaction Management, Q4 2020Forrester names SAS a Leader in The Forrester Wave™: Real-Time Interaction Management, Q4 2020.
- Аналитический отчет The Forrester Wave™: Retail Planning, Q1 2020The 12 Providers That Matter Most And How They Stack Up
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Технический документ
The Evolution of Analytics
Learn about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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Технический документ
Demand Shaping
Demand shaping is commonly thought of in terms of demand manipulation. This paper provides an extended version of demand shaping that helps organizations understand the dynamics of both supply and demand.
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Технический документ
Assisted Demand Planning Using Machine Learning for CPG and Retail
Intelligent 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.
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Технический документ
The Real-Time and Predictive Commerce Playbook for CMOs
Find 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.
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Технический документ
Using Big Data to Enable the Omnichannel Retail Experience
As trends in consumer buying patterns continue to evolve, retailers need solutions that can derive deep data analytic insights to provide a more sophisticated, centralized view of their customers’ preferences and buying journeys.
- Article Доверяй, но проверяй: как бороться с внутренним мошенничеством в ритейлеКак торговым сетям, имея бесконечные метражи складов и торговых залов, выявлять факты внутреннего мошенничества и в перспективе предотвращать их?