AI Data Maturity Self-Assessment

Your organization is ready for AI. But is your data?

AI Survey
Live Data (Situational Awareness)
Not in place / Not planned
Planning
Implementing
Operational for some AI initiatives
Operational enterprise-wide
Our AI or analytics systems can access live data in real-time or near real-time (under one minute old).
Our AI or analytics systems can access live data in real-time or near real-time (under one minute old).
AI initiatives can directly access operational systems (CRM, ERP, SaaS) without relying solely on batch pipelines.
AI initiatives can directly access operational systems (CRM, ERP, SaaS) without relying solely on batch pipelines.
We can provide AI systems with up-to-date data across multiple systems without significant delays or manual integration.
We can provide AI systems with up-to-date data across multiple systems without significant delays or manual integration.
Not in place / Not planned
Planning
Implementing
Operational for some AI initiatives
Operational enterprise-wide
We have clear, consistent definitions for key business entities (e.g., customer, revenue, risk) across systems.
We have clear, consistent definitions for key business entities (e.g., customer, revenue, risk) across systems.
AI teams can easily identify which data sources are authoritative for a given use case.
AI teams can easily identify which data sources are authoritative for a given use case.
Data used for AI is enriched with business context (metadata, lineage, ownership).
Data used for AI is enriched with business context (metadata, lineage, ownership).
We can dynamically determine the most relevant data for AI decisions at runtime.
We can dynamically determine the most relevant data for AI decisions at runtime.
Not in place / Not planned
Planning
Implementing
Operational for some AI initiatives
Operational enterprise-wide
Data access policies and security controls are consistently enforced across all data sources.
Data access policies and security controls are consistently enforced across all data sources.
We can audit and trace what data AI systems use and what actions they take.
We can audit and trace what data AI systems use and what actions they take.
AI systems operate within defined compliance, privacy, and business SLAs.
AI systems operate within defined compliance, privacy, and business SLAs.
Not in place / Not planned
Planning
Implementing
Operational for some AI initiatives
Operational enterprise-wide
AI initiatives can access and integrate data across distributed sources without friction.
AI initiatives can access and integrate data across distributed sources without friction.
We can optimize performance and cost for AI workloads.
We can optimize performance and cost for AI workloads.
Data delivery for new AI use cases is fast (days/weeks, not months).
Data delivery for new AI use cases is fast (days/weeks, not months).
Not in place / Not planned
Planning
Implementing
Operational for some AI initiatives
Operational enterprise-wide
We have defined AI use cases tied to business outcomes with executive sponsorship.
We have defined AI use cases tied to business outcomes with executive sponsorship.
We have active or planned AI initiatives requiring improved governed data access.
We have active or planned AI initiatives requiring improved governed data access.

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Denodo est l'éditeur de référence de l'AI Data Layer. Denodo Platform, plusieurs fois primée, alimente des agents et des applications fiables en transformant les données d’entreprise en insights fiables pour l’analytique, le libre-service et l'IA, avec une approche zero-copy native. Partout dans le monde, des organisations déploient Denodo en complément de leurs data lakehouses pour fournir des données prêtes pour l’IA et adaptées aux besoins métiers en un temps record : elles bénéficient ainsi d’un accès aux insights jusqu’à 4 fois plus rapide, d’un ROI de 345 % et de performances 10 fois supérieures.

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