Data Quality is Not Enough, For Your Mission Critical Operations, You Need Data Reliability

The traditional approach to data quality monitoring is reactive, which can lead to eroded trust among end users. In today's fast-paced world of near real-time data usage and automated processes, a proactive approach is needed to ensure data reliability by predicting and preventing issues before they occur. Common challenges include distributed data, change management gaps, and the need for continuous model retraining due to data drift. Traditional approaches to data quality are often time-consuming, expensive, and require significant expertise. The Acceldata Data Observability platform offers a solution that improves data reliability, productivity, and cost of data management by providing insights into data pipelines, tracing transformation failures, and enabling rapid identification of data incidents.