Due to the ongoing exploding supply of data, enterprises must keep constant watch over their data and the pipelines through which it is ingested, prepared, and otherwise made fit for operational uses. Many enterprises have optimised data ingestion processes but experience issues with data management, quality and reliability that affect data team productivity and limit business growth.

Multidimensional data observability enables organisations to continually track, correlate, assess, predict and optimise the health of their operational data systems. Adding observations and analytics beyond monitoring, data observability offers a tech-agnostic centralised view that delivers actionable insights to key stakeholders – execs, data engineers, data architects, data scientists, data stewards, and IT teams. It is an essential tool for monitoring key metrics—such as data availability, reliability, efficiency, and performance. With data observability, data teams can meet the increasing demand for real-time data insights, consumers trust the data they use to make business decisions, and executives can align data investments and business requirements with reduced risk.