I am often asked how to gain data-based insights in web analysis. Since the topic is somewhat more complex, I like to use the knowledge pyramid to illustrate the topic. You can find out what this is all about in this article.
The knowledge pyramid is divided into four levels: data, information, knowledge and wisdom . Each level builds on the previous one and describes how raw data is turned into strategic actions. In this blog post, I explain how to use the knowledge pyramid to make the most of the tools Google Tag Manager (GTM) , Google Analytics (GA) , Looker Studio and BigQuery .
From collecting data to creating strategic insights - the knowledge slovenia phone number data pyramid makes the path to data-driven decision-making clear and effective. Whether you are just starting out with web analytics or want to optimize your processes: the knowledge pyramid offers a practical method to master the challenges of digital analytics.
Level 1: Data
The foundation of the knowledge pyramid is the collection of data. Without a solid basis of high-quality, precise data, the entire structure collapses. In web analysis, the Google Tag Manager (GTM) plays a central role in data collection. It enables tracking tags to be implemented quickly and flexibly on a website or in an app without constantly having to rely on the IT department.
How Google Tag Manager collects data
The GTM acts as an intermediary between your website and the analysis tools. By setting up tags and triggers, you can define exactly which data should be collected. Examples are:
Pageviews: Which pages were viewed?
Events: What specific actions did the user perform (e.g. clicks, downloads, video starts)?
E-commerce tracking: Which products were viewed, added to the shopping cart or purchased?