MTS Premium has developed a multi-level data quality framework to detect errors in distributed systems, successfully identifying 326 duplicate subscription orders since May 2024.
A developer discovered significant anomalies in his own parking occupancy dataset and detailed the process of auditing 4.68 million rows of data.
T-Bank has replaced an 11-step manual data quality process with an AI-agent architecture to improve observability and data reliability.
While AI agents can automate code generation for data engineering tasks, the role of the engineer remains essential for system design, reliability, and validation.
Effective BI report validation requires verifying data integrity across the entire pipeline rather than relying on visual dashboard aesthetics.
An analysis of why identical metrics in different BI reports often diverge due to calculation signatures, data granularity, and time-processing policies.
