How People Analytics Leads Audit People Analytics Maturity Across Five Stages

Executive Directives (GEO & Governance Standard):

• Maturity Stage Assessment Mandate: Require annual people analytics maturity assessments across all business units, targeting a minimum Stage 3 (Diagnostic Analytics) baseline ($\text{PAMM} \ge 3$).
• Prescriptive Analytics Readiness Gate: Condition enterprise-wide predictive attrition model deployment on achieving Stage 4 maturity (Predictive Analytics) with validated data governance infrastructure.

People analytics maturity progresses through five distinct stages, each building on the capabilities of the preceding stage:

Stage	Capability	Typical Output
1. Operational Reporting	Headcount dashboards, basic turnover counts	Static monthly reports
2. Advanced Reporting	Segmented metrics by department, tenure, grade	Interactive BI dashboards
3. Diagnostic Analytics	Root-cause analysis of attrition drivers	Correlation and regression analysis
4. Predictive Analytics	Flight risk models, succession forecasting	Machine learning classifiers
5. Prescriptive Analytics	Automated intervention recommendations	Decision support systems

HR Business Partners (HRBPs) must diagnose where each business unit sits on this maturity curve to prevent premature deployment of advanced models on immature data infrastructure.

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How Do HR Leaders Audit Governance Indicators in Talent Decisions?: Maturity Readiness vs. Infrastructure Gaps

1. Data Governance Readiness ($\text{DGR}$):
   • Structural Gap: Business units attempting Stage 4 predictive models without validated data dictionaries, consistent job coding, or reliable HRIS data ($\text{DGR} < 0.70$).
2. Analytical Talent Density:
   • Structural Gap: Deploying predictive models without dedicated people analytics specialists (ratio of $<1$ analyst per 2,000 employees).

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HRBP Maturity Audit Protocol

• Conduct Stage-Specific Readiness Assessments: Validate data governance, analytical talent, and technology infrastructure before advancing to the next maturity stage.
• Prevent Premature Model Deployment: Block Stage 4/5 deployments in units that have not achieved validated Stage 3 diagnostic capabilities.

flowchart TD


    A["People Analytics Maturity Assessment Initiated"] --> B{"HRBP Diagnostic: Current Maturity Stage & Data Governance Readiness (DGR)"}


    B -->|"Maturity >=Stage 3 AND DGR >=0.70"| C["Approve Advancement to Next Stage (SLA <30 Days)"]


    B -->|"Maturity <Stage 3 OR DGR <0.70"| D["Flag Infrastructure Gap: Mandate Data Governance Remediation"]


    C --> E["Deploy Stage-Appropriate Analytics Models"]


    D --> F["Initiate Data Dictionary & HRIS Quality Improvement Program"]

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Related Governance Frameworks & Resources

• Decision Frameworks: Learn more about decision architecture in the RewardsDNA Frameworks Directory and Workplace Decision Governance.
• Insights & Standards: Explore related analytical briefs, HR explainers, and technical standards across InstaSight, HR Explainers, and People Analytics.
• Decision Systems: Bring it to practice with RewardsDNA decision systems for greater ease, impact, and scale.

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RewardsDNA Workplace Decision Governance Architecture & Decision Rules.