No-code pipeline simplifies data quality analysis for domain experts

Researchers have developed a no-code pipeline to help domain experts define and implement data quality analyses. This system uses QPM, a metamodel for reusable quality analysis templates, and a web application called Constrainify. Constrainify allows experts to tailor these templates to specific needs and translate them into executable analyses, thereby streamlining the process and reducing the need for technical expertise. AI

IMPACT Streamlines data quality processes, potentially improving the reliability of AI models trained on domain-specific data.

RANK_REASON The item is an academic paper detailing a new methodology and system for data quality analysis. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.IR (Information Retrieval) →

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