- Data collection
- Data Maturity
- Data Modelling
- Data Ownership
- Data Warehouses
- Open Source
- People and process
- Snowplow Insights
Last updated: 2nd December 2020 For updates, changes and errata please see the Changelog at the end of this post. What is this guide? - Designed as a fair feature comparison between the different products - An up to date...
Mistakes happen. In the data world, your ugly mistakes live on forever. It’s not just the embarrassment that’s a problem though. Gaps and obvious errors in historical data distract your stakeholders from more important matters. Explaining the anomalies and getting...
In the first four parts of this series, we modelled out: Pageviews: accurate time spent incorporating page pings and maximum scroll depthSessions: traffic sources and initial landing detailsUsers: filtering internal traffic and looking up things we know about the users Now it’s...
In the first three parts of this series, we looked at modelling out pageview events to include accurate time spent and scroll depth, then classifying sessions based on what we know about where the user came from. Now we’re going to look...
In the first two parts of this series, we looked at modelling out pageview events to include accurate time spent and scroll depths. Now we’ll roll up sessions. A session or visit to a web site is when a user comes to...
In the first part of this series on data modelling we went through the background for building a data model. In this edition we’ll go through the steps to create a basic pageview model that incorporates page pings so we can see accurate...