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Alation Workflow Automation Deploys AI Bots to Optimise Data Governance

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Alation, a data intelligence company, has released Alation Workflow Automation, a solution designed to help data stewards meet the increasingly complex data governance needs of financial services data environments. The solution optimises data governance processes from curation to consumption using Alation Automation Bots to increase metadata quality by proactively checking for missing security classifications, titles, and terms. Rulesets and workflows can be customised to reflect organisations’ needs, while visualisation of data governance progress through dashboards displays rule adherence.

The aim of Alation Workflow Automation, according to the company, is to eliminate the need to expand data steward teams, provide more reliable decision-making and ensure cost-effectiveness while delivering trusted and AI-ready data across the organisation.

“Workflow automation is critical in today’s complex data environment,” says Junaid Saiyed, chief technology officer at Alation. “By leveraging Alation Workflow Automation, organisations can automate mundane data management tasks, enabling data stewards to focus on strategic initiatives that propel business impact. This shift boosts metadata quality and ensures adherence to regulatory standards more efficiently.”

Alation Workflow Automation is underpinned by a number of bots including a completeness bot that ensures all titles and descriptions are accurately filled out and properly categorised; compliance bot that streamlines data governance tasks to improve data consistency and compliance, identify data classified as Personally Identifiable Information (PII) and support custom rules to ensure compliance with regulations; a current content bot that includes rules to identify whether data is current and up-to-date; and a metadata management bot that ensures data stewards and data owners receive timely alerts when new metadata is added to key databases.

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