Analyst Report
Alation named a Leader with The Highest Possible Scores in 12 Criteria
Alation was named a Leader in The Forrester Wave™: Data Governance Solutions, Q3 2023 report, which identifies, analyzes, and scores seven top global vendors offering products with data governance capabilities across 29 different criteria.
Alation achieved the highest scores possible in 12 criteria:
Current Offering (Data Governance Management, Data Catalog, Data Discovery, Data Collaboration, Stewardship Roles and Responsibilities, Data Usage Monitoring, Data Sharing and Commercialization, and Data Valuation)
Strategy (Vision, Adoption, and Community)
Market Presence (Revenue)
Download the full report to see why Alation leads with its intelligent federated governance approach. "Alation's offering differentiates itself by blending strong technical skills in the field of machine learning (ML) and intelligent asset classification capabilities with an obsessive focus on collaboration tools and data valuation models." - Raluca Alexandru, Analyst at Forrester
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As organizations invest in AI, effective governance is crucial to maintain safety and compliance. But did you know it's also critical for creating a consistent framework for innovation? Interac, a leader in digital payments, has partnered with Alation to build a robust AI governance framework. Join Mohit Sirpal and Shubneet Bharwani from Interac as they share expert insights on creating a trusted data environment for AI. Learn how Interac leverages data intelligence to enable self-service, transparency, and traceability in their AI processes, ensuring they are prepared for future AI initiatives.
Whitepaper
Leaders are under mounting pressure to implement AI that drives business results. How can they ensure their data is ready to fuel AI models that succeed?
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In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.