Guidance for Composable Web Analytics on AWS
Overview
This Guidance demonstrates how to build a comprehensive web analytics platform by combining AWS services with partner solutions like Snowplow and Databricks. It helps organizations transition from traditional analytics tools to a customizable, privacy-focused architecture that leverages existing data infrastructure. The solution enables rapid deployment while maintaining full control over data storage and analysis. Through integration with AWS QuickSight Q's generative BI capabilities, organizations can derive deeper customer journey insights, enabling enhanced personalization and improved customer satisfaction through data-driven decision making.
Benefits
Own your web analytics data
Store web interaction data securely in your existing data lake environment. Reduce dependency on third-party analytics providers for customer journey insights.
Unlock AI-powered analytics insights
Ask questions about your web analytics data using natural language and get instant answers. Create interactive dashboards to visualize customer journeys and identify growth opportunities.
Enable secure marketing collaboration
Share web analytics data with publisher partners in privacy-enhanced environments for conversion analysis. Measure marketing effectiveness without implementing additional third-party trackers.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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