As Equifax prepares to pay out as much as $US700 million in compensation for its spectacular 2017 security breach, and cosmetics retailer Sephora apologises for a leak of Asia Pacific customer data, now is a good time to consider the advantages of data ownership. Peace of mind around security isn’t the only advantage, there are […]
v0.2.14 of Snowplow Inspector released! New features include HAR Import and ElasticSearch streaming.
Slides from Snowplow meetup: What’s good (and not so good) on GCP and Server Side Tracking with Catch.com.au
Last week we ran our first Snowplow Meet Up for 2019. Hosted at the fantastic Oneflare Sydney Offices we had over 40 people attending and was a great mix of our clients, Snowplow Open Source users and those with a keen interest in modern analytics. Here’s a recap of the speakers and content:
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.
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.
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.