Enterprises Demand AI-Ready Data Quality Platforms
Forrester's Wave: Data Quality Solutions, Q1 2026 evaluated 10 vendors and finds data quality platforms shifting from rule-based cleaning toward AI-driven automation, multimodal insights, and observability. The report says enterprises must prioritize end-to-end observability, support for structured and unstructured data, unified governance-enabled platforms, and balance generative/agentic AI with transparency to ensure reliable data for scaled AI deployments.
Key Points
- 1Evaluates 10 market-leading vendors in Forrester Wave Q1 2026 highlighting AI-driven shifts
- 2Demonstrates observability and multimodal support as critical capabilities for AI-ready data quality platforms
- 3Advises buyers to choose unified platforms balancing generative automation with governance and transparency
Scoring Rationale
Strong industry relevance and actionable buyer guidance, slightly limited by summarised coverage rather than deep technical evaluation.
Sources
Public references used for this report.
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