Shift-Left Data Reliability

The importance of data analytics in business operations has led to an increase in captured data, making data reliability essential for accurate decision-making. Data comes from various sources and is often transformed through complex pipelines. To ensure high-quality data, organizations need to shift left their approach to data reliability by incorporating observability practices early in the data lifecycle. This helps detect and address issues as soon as possible, reducing costs and improving overall data quality. By shifting left, businesses can optimize resources, control costs, and produce better data products, ultimately gaining a competitive advantage.