State of Enterprise Data Quality 2025 Report

This report examines the current state of enterprise data quality as of 2025, focusing on the critical need for real-time verification to maintain competitive advantage. It details findings from a cross-industry survey involving mid-market and enterprise organizations across various sectors, including finance, healthcare, and telecommunications. The survey reveals that a significant majority of organizations face operational challenges due to data inaccuracies, with only 16% reporting no impact from issues such as duplicate records and outdated contact information. The report outlines the consequences of poor data quality, including increased operational costs and missed service-level agreements. It also discusses the various methods organizations currently use for identity verification, highlighting the risks associated with low-friction verification channels. Furthermore, the report identifies four distinct operating models for data quality management, each with its strengths and weaknesses. Recommendations are provided for organizations to enhance their data quality strategies to mitigate risks and improve operational efficiency.