Quest Automated Data Product Factory

Transform Data Chaos into AI-Ready Data Products — Automatically

The Quest Automated Data Product Factory (ADPF) is an AI-powered capability within the Quest Trusted Data Management Platform that eliminates the months-long, manual effort required to create trusted, governed data products. By combining natural language interfaces, automated governance, and explainable trust scoring, ADPF enables organizations to go from business requirement to production-ready data product in weeks instead of months.

The Problem It Solves

Enterprise data teams are under impossible pressure. Boards demand AI-driven results, yet 95% of AI initiatives show zero return (MIT) — not because the AI is wrong, but because the data feeding it is untrusted, ungoverned, or unavailable. Today, creating a single production-ready data product can take up to 6 months and cost upwards of $300,000. Data engineers spend 70% of their time on manual, repetitive tasks, while analysts waste hours searching for data they can actually trust.

ADPF was purpose-built to solve this crisis.

What Automated Data Product Factory Does

ADPF automates the end-to-end data product creation workflow — from capturing business requirements in plain natural language to publishing a trust-scored, governed data product to a self-service marketplace. Key capabilities include:

• Natural Language Requirements Gathering: Users describe their data needs conversationally — no SQL or technical specifications required.
• AI-Assisted Logical Data Modeling: Leveraging 30+ years of erwin data modeling heritage, ADPF generates logical entity and attribute structures grounded in enterprise standards.
• Governance at Inception: Every data product is automatically enriched with lineage, glossary terms, policies, data quality rules, and stewardship workflows — embedded during creation, not bolted on afterward.
• 9-Component Explainable Trust Scoring: A dynamic, customizable trust score across nine dimensions — including data quality, governance completeness, timeliness, and user ratings — so consumers know exactly what they're working with.
• Self-Service Marketplace Publishing: Completed data products are published where analysts and AI/ML teams can discover and consume trusted assets without waiting on IT.
• AI-Data Drift Detection: Continuous monitoring detects when data quality changes could affect AI model performance, triggering automatic trust score updates and alerts.

Who Benefits

• Chief Data Officers and Data Leaders gain a measurable, auditable data foundation supporting AI strategy and regulatory compliance.
• Data Architects and Engineers replace weeks of manual modeling with an AI-assisted workflow, freeing time for strategic work.
• Data Analysts and AI/ML Teams access a curated marketplace of trust-scored data products they can confidently use.
• Compliance and Risk Teams benefit from automated lineage, policy enforcement, and audit trails satisfying BCBS 239, HIPAA, and GDPR requirements.

Expected Business Outcomes¹

• 54% faster data product delivery
• 70% reduction in data modeling cycle time
• 30–40% total cost of ownership reduction versus assembled alternatives
• 3–5x return on investment

Built on a Foundation You Can Trust

Unlike general-purpose AI platforms or catalog-only solutions, ADPF is purpose-built for enterprise data management — grounded in 30+ years of erwin modeling leadership and delivered as part of the only fully unified SaaS platform combining data modeling, catalog, governance, quality, marketplace, and AI-powered automation in a single offering.

Quest Trusted Data Management Platform featuring Automated Data Product Factory. Trusted data, delivered at the speed AI demands.

¹ Metrics are based on Quest Software's internal analyses and have not been independently verified by a third party.