Metrics & Reporting¶

Overview¶

Metrics & Reporting provides a framework to measure, monitor, and communicate the effectiveness of data governance at Nissan North America (NNA).
By tracking key performance indicators (KPIs), NNA can identify gaps, enforce accountability, and drive continuous improvement in data quality, compliance, and adoption.

Purpose¶

Monitor adherence to data governance policies, standards, and processes.
Provide actionable insights for data owners, stewards, and executives.
Track data quality, MDM effectiveness, compliance, and adoption.
Support decision-making, prioritization, and continuous improvement of governance practices.

Key Metrics Categories¶

Category	Description	Example Metrics
Data Quality	Measure accuracy, completeness, consistency, and timeliness of data	% of duplicate records, % missing mandatory fields, validation error counts
Master Data Management (MDM)	Assess effectiveness of master data consolidation and reconciliation	Number of conflicting records, match rates, consolidation success rate
Compliance & Privacy	Track adherence to regulatory and internal policies	% of data assets classified, % of access requests completed on time
Process Adoption	Monitor usage of governance processes and tools	Training completion rate, catalog registration compliance, workflow usage
Operational Metrics	Monitor performance and efficiency of governance activities	Number of incidents resolved, average resolution time, audit completion rate

Reporting Framework¶

Define KPIs: Identify metrics aligned with governance objectives and business priorities.
Data Collection: Aggregate from MDM systems, data catalogs, quality dashboards, and audit logs.
Visualization & Dashboards: Provide interactive dashboards for executives, stewards, and data owners.
Analysis & Insights: Identify trends, anomalies, risks, and improvement opportunities.
Reporting Cadence: Establish weekly, monthly, and quarterly reports to key stakeholders.
Feedback & Continuous Improvement: Adjust KPIs and reports based on evolving governance needs.

Roles & Responsibilities¶

Role	Responsibility
Data Owner	Review KPI dashboards for their domains and act on issues
Data Steward	Maintain metric accuracy, investigate anomalies, and recommend corrective actions
Governance Council	Monitor enterprise-level metrics, track progress against governance goals
IT / Analytics Teams	Implement dashboards, data pipelines, and automation for reporting
Compliance / Audit Teams	Verify reporting accuracy and adherence to governance standards

Tools & Technologies¶

BI & Analytics Platforms: Power BI, Tableau, Looker, or equivalent for dashboards
MDM & Data Quality Tools: Ataccama, Collibra, Informatica for automated metrics extraction
Data Catalogs: Capture lineage, classification, and stewardship KPIs
Monitoring & Alerts: Automated notifications for KPI thresholds or breaches

Visual Representation¶

flowchart TD
    A[Data Sources: MDM, Catalog, Logs] --> B[Metrics Calculation & Aggregation]
    B --> C[Dashboards & Reports]
    C --> D[Data Owners & Stewards]
    D --> E[Governance Council]
    E --> F[Continuous Improvement]