Data Leaders Looking to Data Observability to Overcome Data Quality Concerns

Data leaders are increasingly adopting data observability to manage complex multilayered modern data architectures operating in cross-platform environments. A survey of 200 data leaders revealed that almost half experienced data pipeline failure due to quality issues or late error detection, with customer experience suffering as a result. Over 50% spend 1-6 days per month addressing data quality problems, and dealing with these issues interferes with other job responsibilities and higher priority projects. To improve their data performance and ROI on data investments, data leaders are seeking solutions that provide better insight into their data pipelines and plan to employ data observability tools in the next 12 months.