Bad data leads to bad decisions. Understanding data quality in the data catalog with other rich metadata, completes the full picture.
Empower data consumers to decide if and how to use data — with full context on its history and risk. Alation surfaces a range of health metrics to signal data trustworthiness. Quickly detect and resolve issues before problems arise. Communicate impacts to the organization, team, or data steward.
Different tools specialize in data quality by industry, region, and business type. Alation's Open Data Quality Framework provides a flexible approach to integrating the best-of-breed data quality vendors. Insights including quality, reliability, and performance are seamlessly displayed in Alation.
Trust Flags in Alation can be set manually or automatically to flag data assets as endorsed, warned, or deprecated. Like intuitively knowing how to obey traffic lights on the road, Trust Flags guide people on how to use data throughout Alation and beyond, at the point of use.
Document Data Quality policies in Alation Policy Center to provide context of why, how, and when rules are applied. Use the policies to trigger rules from an integrated data quality or observability tool. Create a seamless experience by centralizing policies with data and workflows.
Visualize the impact of deprecation on source to target data assets, directly on the lineage graph. Use Impact Analysis and Upstream Audit to quickly discern not just what data is affected, but who and why.