Quest Automated Data Product Factory
Quest · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
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.
Show the rest of the publisher’s description (22 more lines)
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 investmentBuilt 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.
Preview
4 images
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Plans and pricing as listed
2 listedSources
Publisher resources
4 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.