The State of Enterprise Data Quality: A Survey of Data Team Priorities

Poor data quality poses significant threats to businesses, leading to distorted analytical insights and detrimental decision-making. A recent survey conducted by Acceldata reveals that 95% of data leaders spend more than 25% of their time addressing data quality issues, highlighting the pervasive nature of this problem in modern data environments. The consequences of neglecting data quality can be severe, including productivity loss, financial repercussions, and reputational damage. To address these challenges, organizations need to prioritize data reliability as a strategic imperative by investing in tools, processes, and governance that ensure data accuracy, timeliness, and trustworthiness. The Acceldata Data Observability platform is helping leading brands improve their data environments' reliability, productivity, and cost-effectiveness.

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