Overview
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Unified Profiles for Travelers and Guests on AWS helps you automatically source, merge, remove redundant data, and centralize traveler and guest information from across your enterprise. It offers a single data source for marketing, sales, operations, and customer experience leaders, providing the data they need to create a central view of the customer. A seamless and personalized customer experience helps deepen the connection between the customer and your brand, and with a few clicks, customer information is aggregated from multiple internal systems of record, producing a unified customer profile in both batch and near real-time. Now, you can achieve a faster and a deeper understanding of your travelers and guests to deliver a tailored, more personalized customer experience.
Benefits
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Integrates with your property management systems and customer data platforms. Also, a detailed process plan is provided for all common travel and hospitality data sources, such as bookings, loyalty profiles, hotel stays, and customer service interactions, minimizing the data transformation work to integrate this solution.
Use a constellation of rule-based and artificial intelligence (AI)-based Identity Resolution capabilities. This solution's modular architecture also allows for custom-matching logic and can be integrated with AWS Partners.
Sensitive traveler data is stored in an AWS specialized customer data store and located in your AWS account. This helps you deploy a permissions system with strict access controls to traveler data.
Provides near real-time updates so that your customers can react to all changes within their traveler profiles, such as booking cancellations or hotel checkouts. Leverage a complete view of your travelers and guests for timely and personalized communications.
Technical details
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You can automatically deploy this architecture using the implementation guide and the associated AWS CloudFormation template.
Step 1
A batch ingestion module allows you to send data to Amazon Simple Storage Service (Amazon S3), run extract, transform, and load (ETL) jobs with AWS Glue, and ingest data in highly parallelized AWS Lambda functions into the solution's core storage module (interaction store).
Total results: 4
- Headline
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Advertising & Marketing
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Advertising & Marketing
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Travel & Hospitality
Total results: 1
- Publish Date
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- Version: 2.1.1
- Released: 2/2025
- Author: AWS
- Est. deployment time: 15 mins
- Estimated cost: See details