Alation's Open Data Quality Framework unifies data quality and metadata, providing a comprehensive view of data trust. It offers the flexibility to manage data quality according to your organization's needs, whether through integration with leading data quality and observability tools or by leveraging Alation’s native, AI-powered Data Quality solution for seamless, automated data trust. This framework empowers data consumers to assess and utilize data effectively by providing full context on its history and potential risks. Alation surfaces various health metrics to indicate data trustworthiness, enabling quick detection and resolution of issues before they escalate. It also facilitates communication of impacts to relevant stakeholders, such as teams or data stewards. The framework allows for the integration of specialized data quality tools tailored to specific industries, regions, or business types, ensuring that insights into quality, reliability, and performance are seamlessly displayed within Alation. Trust Flags can be set manually or automatically to guide data usage, and links to Data Quality policies provide context on rule application. Impact analysis visualizes the effects of deprecation on data assets, enhancing understanding and decision-making.

Features:

• Open Data Quality: Choose to Have a Complete View of Your Data Health: Data ecosystems are complex, and organizations need a complete view of data health with the flexibility to manage quality their way. Alation provides both—an open approach that integrates with leading data quality and observability tools and a native, AI-powered Alation Data Quality solution for seamless, automated data trust.
• Take action on data quality: 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.
• Get the right data quality: 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.
• Signal trustworthiness: 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.
• Link to data quality policies: 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.
• View impact analysis: 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.