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The majority of projects to build data analytics architecture fail. In this article we outline a better way to designing and building data architecture: focus on impact.
Google Analytics is an incredibly powerful tool for data analytics. Best of all, you get tonnes of great functionality for free! There are many pitfalls when using Google Analytics however. This post outlines three of the most common issues we’ve seen with GA configurations and how they can affect your data quality.
Our experience has allowed us to identify and surface 16 questions across 4 categories that can signal your level of sophistication in customer analytics. In this article, we’ve outlined these questions and how they can help you identify the level of sophistication of your approach.