Enterprise Capability Ecosystem · Enterprise Quality
One ecosystem.
Connected by design.
Connected by design.
System Health is not a standalone tool — it is an enterprise capability that emerges from the deliberate alignment of people, process, technology, and data across Enterprise Quality. This page shows how those dimensions connect, what flows through the ecosystem, and how the four System Health domains produce the decision confidence that leadership depends on.
Ecosystem at a Glance
People & Roles
Business Processes
Supporting Technology
Data & Signals
System Health — 4 Domains
Decision Confidence
Executive Decision Making
Operating Flow — How the Ecosystem Works End to End
People · Process · Technology · Data
Seven layers — from organizational inputs to executive decisions
1
Layer 01
People
The human actors who operate and govern the capability — eQMS users, process owners, data stewards, Quality Leadership, and the assigned owner for each System Health domain. Without defined ownership, no layer below this one produces accountable outcomes.
Enables
Role clarity, governance participation, and domain accountability
Ownership
2
Layer 02
Process
The quality workflows that generate the events and transactions the capability monitors — CAPA, change control, deviations, document management, training, and supplier management. Process performance is what System Health measures.
Feeds
Workflow transactions, completion records, and quality event history
Source Data
3
Layer 03
Technology
The systems that capture, store, and surface quality data — eQMS, LMS, IAM, DMS, ERP, and BI platforms. Technology is the recording layer: it does not produce health signals on its own, but without it, no structured data exists to monitor.
Provides
Structured data capture, system logs, and integration with analytics
Infrastructure
4
Layer 04
Data
Quality data assets — structured, cleaned, and transformed from raw system outputs — become the health signals, metrics, and certified data products that drive decisions. Data is the currency of decision confidence. Its quality determines the reliability of everything above it.
Supplies
Health signals, quality scores, and certified data products
Data Assets
5
Layer 05 · Core
System Health
The operational core of the capability. Continuously monitors signals across the four domains — Workflow Integrity, Data Integrity, User Behavior, and Reporting Reliability — producing the System Health Index, alert queue, and drift indicators that flow into Decision Confidence scoring.
Produces
System Health Index across all four domains
Health Signals
6
Layer 06
Decision Confidence
The scoring layer that synthesizes health signals from all four domains into a quantified confidence level — High, Medium, Conditional, or Low — telling leadership exactly how much to trust any quality signal before acting on it. Every score is traceable to the domain limiting it.
Generates
Decision Confidence Score with drill-down diagnostics
Confidence Score
7
Layer 07 · Outcome
Executive Decision Making
The value layer — where trusted, confidence-scored quality intelligence reaches leadership in the form they need: dashboards, QMB scorecards, and briefings. Decisions made here are informed, traceable, and defensible because every signal that reached this layer passed through all six prior layers.
Delivers
Trusted quality decisions and inspection-ready evidence
Business Value
The Four System Health Domains
Domain 01
Workflow Integrity
Monitors the health of quality workflows — cycle time, backlog aging, SLA adherence, and process drift across CAPA, change control, deviations, and all eQMS workflow domains. A workflow health signal is the earliest leading indicator of a quality system under stress.
Cycle Time
SLA Performance
Backlog Aging
Drift Rate
Domain 02
Data Integrity
Monitors the accuracy, completeness, consistency, and lineage of quality data — detecting duplicates, classification errors, missing fields, and data quality degradation before it reaches reporting or leadership. Directly supports 21 CFR Part 11 and ALCOA+ requirements.
Completeness
Accuracy
Consistency
Lineage
Domain 03
User Behavior
Monitors how people interact with the quality system — training currency, adoption rates, access anomalies, and usage patterns. User behavior health reflects the human dimension of system health: are the right people doing the right things in the right systems at the right time?
Training Currency
Adoption Rate
Access Anomalies
Usage Patterns
Domain 04
Reporting Reliability
Monitors the integrity of the reporting layer — data freshness, pipeline success, dashboard uptime, and metric definition consistency. If the reporting layer is unreliable, leadership receives a distorted picture of system health regardless of how healthy the underlying processes are.
Data Freshness
Pipeline Success
Dashboard Uptime
Metric Consistency
Capability Areas — How the Ecosystem Is Organized
Capability Area 01
Governance
The accountability layer that defines who owns what, how decisions escalate, what standards apply, and how the capability is reviewed and improved over time.
Business ownership — Quality Leadership owns outcomes
Decision rights and escalation pathways
Operating cadence — daily to annual review rhythm
Compliance standards — 21 CFR Part 11, GxP, GDPR
Capability Area 02
People & Roles
The human operating model — the defined roles, responsibilities, and accountabilities that make the capability function. Every domain has a named owner. Every governance decision has a named decision-maker.
Capability Owner — AD, System Health & Data Product Governance
Domain Owners — assigned per System Health domain
Data Stewards and Data Product Owners
Process Owners and eQMS Administrators
Capability Area 03
Business Processes
The quality workflows that System Health monitors and the operational processes that govern how the capability itself runs — from alert triage to corrective action to executive reporting.
eQMS workflows — CAPA, change, deviation, document, training
System Health alert triage and resolution workflow
Data product certification process
Governance review cadences — QMB, Ops Reviews, Exec Forums
Capability Area 04
Supporting Technology
The systems that enable the capability — not the capability itself. Technology is a supporting input that captures, stores, and surfaces quality data. The platforms used, their integration points, and their roles in the ecosystem.
eQMS platform — primary workflow and data source
LMS, IAM, DMS — supporting domain-specific inputs
BI & reporting layer — decision support delivery
SharePoint — System Health knowledge repository
Capability Area 05
Data Products
Governed, certified quality data assets — the output of the Data Integrity domain and the foundation of Decision Confidence. Data Products are not reports or dashboards; they are validated data assets with named owners, documented definitions, and certification status.
Data Product Catalog — all certified assets with status
Certification criteria — completeness, accuracy, lineage
Data Product Owner accountability model
Priority data products to be defined by methodology owner
Capability Area 06
Reporting & Decision Support
The leadership-facing layer — the dashboards, scorecards, briefings, and confidence-scored reports that translate System Health signals into the executive intelligence Quality Leadership needs to act. Reporting is an output of the capability, not the capability itself.
Executive dashboard — System Health Index by domain
QMB scorecard — monthly governance-ready view
Decision Confidence scoring — confidence tier per data product
Specific reports and views to be defined by methodology owner
Additional Capability Areas — Author Content Here
Placeholder · Quality Councils
This section is reserved for your methodology content on Quality Councils — the governance forums, review bodies, and leadership structures that receive and act on System Health reporting. Author this content using your operating model.
Placeholder · Predictive Quality
This section is reserved for your methodology content on Predictive Quality — how the certified data products and Decision Confidence scores produced by System Health become the foundation for predictive analytics and proactive risk management. Author this content using your roadmap.