Applied AIfor enterprise

Data Steward Recommendation

Value
59
Feasibility
56
MaturityEmerging
RecommendationAssess
Time to Value6–12 months
Description

Data Steward Recommendation uses AI to propose data domain owners, enabling fuller governance coverage, by recommending stewards from ownership records, usage, and issue history, across data governance and stewardship.

Business Problem

Data governance stalls when data domains lack clear owners, and assigning stewards by committee is slow and contested. Ungoverned domains accumulate quality issues that no one is accountable for.

Solution

The AI generates steward recommendations from data domains, ownership records, usage patterns, and issue history, proposing the best-placed owner for each ungoverned domain.

Expected Value

Increases data ownership coverage rate across domains and shortens time to assign stewardship.

Prerequisites
  • Historical data domains, ownership records, usage patterns, and issue history are available with stable identifiers and sufficient coverage for the target workflow.
  • Source systems for data governance and stewardship workflows expose the required records through a repeatable export or service interface.
  • A named business owner exists to review recommended data stewards and confirm the action workflow.
Capability
IT, Data & Cybersecurity
Information & Data Management
Data Governance
Industries
Financial ServicesManufacturing & IndustrialRetail & Consumer GoodsHealthcare & Life SciencesAerospace, Defense & SecurityEnergy & UtilitiesTelecommunications & MediaPublic SectorTransportation & LogisticsConstruction & Real EstateAgriculture & FoodTechnology & SoftwareAutomotiveEducation & ResearchTravel, Hospitality & Leisure
AI Patterns
Recommend / Rank
Modality
Tabular / structured
Impact
CRITICAL
HIGH
MEDIUM
LOW
Key Risks
GDPR / Data Protection BreachSensitive Data LeakageUnfair or Discriminatory OutcomesLack of ExplainabilityReputational Damage from AI Error
Controls
Data Protection Impact AssessmentData Masking & AnonymisationRole-Based Access ControlBias & Fairness TestingExplainability Layer (XAI)Audit Trail & LoggingOutput Guardrail / FilteringHuman-in-the-Loop ReviewData Quality GateAI Incident Response Plan
References

No verified references yet.

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