Using Third-Party Data to Make Smarter Decisions

Using Third-Party Data to Make Smarter Decisions

Using third-party data to make smarter decisions A collection of AWS Data Exchange blogs Table of contents Using Amazon SageMaker, AWS Marketplace, and AWS Data Exchange to predict retail product popularity � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � �6 The retail scenario: deliver a custom ML model to predict the popularity of retail bath products � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � �6 Solution overview � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � �7 Step 1: Subscribe to the algorithm � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 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� � 68 Algorithmic Trading on AWS with Amazon SageMaker and AWS Data Exchange � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 82 Feeding Algorithmic Trading Engine with Data: Focus on AWS Data Exchange � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 86 Deployment and Usage Description � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 87 Clean up resources used � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 98 How Wine Access optimizes wine delivery using WeatherTrend360 from AWS Data Exchange � � � � � � � � � � � � � � � � � �100 Business challenges � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 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104 Outline implementation approach � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 105 Opportunities and benefits � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 107 Creating customized data products on AWS Data Exchange � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 110 Prerequisites � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 110 Creating a product with revision access rules � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 110 Creating a private product � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 113 How restaurants are augmenting data to drive insights � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 115 Conclusion � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � � 119 Table of contents // 4 Table of contents // 4 Introduction Agile, successful organizations are increasingly reliant upon the new insights gained by using third-party data to complement their internal data� Layering data from multiple third parties enable users to adapt dynamic business models quickly and enhance customer satisfaction� AWS Data Exchange can accelerate that capability� This eBook is intended for technical decision-makers and builders who seek to extract highly impactful and refined insights from data to make more informed decisions, faster. The use cases here span multiple industries—financial services, retail, hospitality, healthcare, manufacturing—but all have a common aim: to make smarter.

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