Вадим Пашковский — Игра в данные: как не проиграть в битве за точность

Learn more about the Heisenbug conference: https://jrg.su/xC2gbh — — Download the presentation from the website — https://jrg.su/L8Fmqt Testing web analytics systems is essential to ensure the accuracy of the collected data, which is used to make business decisions, improve websites and marketing campaigns, optimize user experience, and reduce costs. Properly configured analytics allows you to accurately evaluate the effectiveness of advertising channels, understand target audience behavior, and identify technical issues with your website. This presentation will help you build a reliable data verification system: from event integration and validation to preventing losses and distortions. You will learn: What types of testing and tools are critical for web analytics (functional, integration, load, and security testing). What techniques and tools exist for data validation in popular systems (Google Analytics, Yandex Metrica, Amplitude, etc.). How to minimize key risks: data loss, metric distortion, performance and privacy issues. Get a structured approach to testing analytics systems to ensure the highest data quality and avoid costly errors based on false metrics. This guide will be useful for QA engineers at all levels, developers responsible for integrating analytics services, and product and data analysts concerned about the reliability of the data they collect.