Data Quality: Experience of Practical Implementation in Yandex Lavka

The quality of data in IT systems directly affects the quality of analytical insights derived from them. 

Companies use analytics to make strategic decisions, so it is crucial to track, measure, and continuously improve the quality of data used. 

In the field of data quality management, there are general guidelines to approach this task. However, every project requires attention to specific aspects, adapting the approach to suit unique conditions.

We will discuss the challenges our team faced during the implementation of this data quality management project. I’ll share how we considered stakeholder requirements and adapted the process to fit our IT landscape, ensuring the successful integration of a data quality management system.