Data models are a key part of the modern digital analytics stack. They allow you to build upon event-level data and interpret it through shared business rules. The models you create will evolve with you as your business changes and the organisation becomes more sophisticated with its data.
Where did our new name, Poplin Data, come from?
Mike Robins, CTO of Poplin Data, explains how SQL helps unlock the secrets of big (& small) data
If you want to work in analytics, you need to know SQL. You wouldn’t work as a carpenter and not know how to use a chisel…
Silos in business are mainly human constructs: disparate teams of people, working to different agendas, with separate processes, tools and information. There might not be physical walls containing or isolating each team — and keeping other teams out — but...
Luke Lewandowski describes how SWM consolidated analytics across multiple platforms and Josh Beemster talks about the new GCP port
Simon Rumble suggests some smarter ways you can separate the bots from your human visitors with Snowplow.
A really fun day with great people and amazing talks.
Whoops you made a booboo. Now your mistakes will be visible forever. Or will they?
How fast does your content get consumed from time of creation?
You’ve built your data model, now to make it real and start using it!
Model your Snowplow data to take into account what you know about users, including filtering internal users more reliably.
How to model our your Snowplow data to classify out traffic sources