Presentation: Challenging Google Analytics: Building a Scalable, Cost-Effective User Tracking Service
Alina Krasavina explains how Delivery Hero successfully deprecated Google Analytics and migrated to an internal user tracking platform. She discusses how a simplistic, highly scalable architecture allowed them to handle 10 times more load while capturing 97% of tracking data. By Alina Krasavina
The increasing focus on data privacy, escalating costs of third-party tracking solutions, and the architectural limitations of established platforms like Google Analytics are driving companies to seek sovereign and more customizable analytical infrastructure.
This development highlights a growing trend among major corporations to build internal, scalable solutions for critical data infrastructure, reducing dependency on external vendors and gaining more control over data security, cost, and functionality.
Companies are increasingly prioritizing internal development of data analytics platforms to address privacy concerns, optimize costs, and achieve greater architectural flexibility, challenging the dominance of incumbent third-party services.
- · Delivery Hero (and similar large enterprises)
- · Engineers skilled in scalable data architectures
- · Open-source data analytics tools
- · Google Analytics
- · Generic third-party analytics providers
Companies gain tighter control over their user data, potentially enhancing privacy and compliance while significantly reducing operational costs related to tracking.
An increase in in-house data infrastructure development could shift the market for analytics tools towards more specialized, customizable, and possibly open-source solutions.
This trend could contribute to a broader 'data sovereignty' movement, where organizations and even nations seek greater autonomy and control over their digital ecosystems.
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Read at InfoQ