Bad data leads to bad decisions. Understanding data quality in the data catalog, with context from rich metadata, gives people the whole picture for informed decisions.
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's flexible approach integrates 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 to manually or automatically flag data assets as endorsed, warned, or deprecated. Like intuitively knowing how to obey traffic lights on the road, Trust Flags guides people on how to use data throughout Alation and beyond at the point of use.
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.
Get a quick sense of data accuracy with column profiling statistics including Minimum, Maximum, Median, and Average values, plus string stats like % NULL and number of NULL values. Customize statistics profiled by changing the SQL query.