The business bottleneck was analytical chaos, i.e., manual work:

The team spent a huge amount of time manually combining data from various systems just to create simple reports (e.g., a summary of marketing expenses).

Is your analytics built of straw, sticks, or brick? We use the Three Little Pigs metaphor to reveal critical e-commerce data mistakes. Discover why "black box" systems and simple Looker Studio plugins fail at scale, and learn how to build a durable data foundation on Google Cloud with WitCloud.

When you hear the term "Data Warehouse" or "BigQuery," two thoughts probably cross your mind. First: "This is the technology I need to connect data and scale my business." Second: "This sounds like a Google invoice I won't have control over."

Waiting a week for a crucial ROAS report? This article dissects how data chaos, human silos, and manual reporting paralyze e-commerce businesses. Discover why you're stuck "waiting for data" and how automation is the key to moving from paralysis to strategic action.

Exporting Google Analytics 4 GA4 data to Google BigQuery allows you to protect us against data loss and bypass many limits and restrictions waiting for us in the panel or API connection.

When interacting with Google Analytics 4 GA4 data in BigQuery, we managed to encounter various difficulties that are worth knowing about in advance, before many hours have passed on a detective attempt to overcome them.

Simple and fast analysis of Google Analytics 4 data in BigQuery thanks to the WitCloud platform. Session tables, marketing channel attribution and more.