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Reports, White Papers, Ebooks & Guides

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The Digital Analytics Technology Landscape: Evolving Infrastructure and Tools for Data Leaders

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Future-Proof Your Data Pipeline: Key Considerations for Scalable ETL, ELT, Reverse ETL and Stream Workflows

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The Power of Event Tracking with Snowplow SDK Trackers

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7 Reasons to Choose the Snowplow Pipeline

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Guide to Achieving Granular Marketing Attribution For AI Smart Bidding

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Top 5 Reasons to Choose Snowplow over Google Analytics

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Adobe Analytics vs. Snowplow: Which Tool Fits Your Needs?

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9 Main Challenges with Google Analytics

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The CDO Evolution: How Behavioral Data is Shaping Company Strategy

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Understanding the 6 Stages of a Product User’s Lifecycle:

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9 Top Product Analytics Use Cases

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How Tourlane gains a centralized, single view of customers with Snowplow

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How Tripaneer uses event-level data to map multi-channel journeys with Snowplow

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How Kindred Group Optimized its Product Analytics Infrastructure & Costs with Snowplow

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How Strava is creating the ultimate active community experience using Snowplow and Snowflake

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Next-Gen Analytics with Snowplow on AWS

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The Past, Present, and Future of Compliant Analytics in Europe

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GigaOm Report: Snowplow Outperforms GA4 in a Comparative Evaluation of Digital Analytics and Measurement Tools

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Multi-cloud for data analytics

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Product analytics for a complex user journey

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How to work with data privacy restrictions and still get high quality data

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An introductory guide to marketing attribution

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The State of Behavioral Data 2022

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The Composable Customer Data Platform: How it supports next-gen customer experiences

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A guide to better data quality

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The advanced guide to marketing attribution

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Avoid drowning in your data lake

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101 Guide to Marketing Attribution

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The introductory guide to data modeling

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Build rich behavioral profiles with a Composable Customer Data Platform

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Treating data as a product

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Data quality starts with data collection

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Marketing Attribution in Retail

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Take control of your web analytics

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How to design a tracking plan for your data use cases of today and tomorrow

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Transform behavioral data into actionable insights

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Build a culture of data excellence by taking ownership of your data processing

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Product analytics for a complex user journey

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Adopt a more flexible approach to structuring data

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