Defining Data Observability

Data observability is the process of measuring the reliability and health of data products, which are treated as products within a company. It involves treating data as a product used for analytics, decision-making, machine learning models, or data stores that are part of a digital experience. Productizing data requires ensuring its reliability and trustworthiness, similar to observability in software engineering. Data observability provides visibility into how the system works, allowing teams to proactively manage and resolve issues, as well as prevent them. Companies are investing in data observability to maximize the value of their data and deliver reliable and trustworthy data products.