Algorithmic assessment that analyzes existing KPIs to generate
objective maturity scores without surveys or stakeholder time.
Survey-based approaches waste time and money
Stakeholders hate filling out 50-100 question surveys. Response rates are low.
Opinions vary wildly. IT says 3/5, business says 2/5. Who's right?
6+ months for consultants to interview, analyze, and synthesize findings.
$150K-300K for consulting firms to manually assess and document.
Analyze existing KPI catalogs to reveal data maturity objectively
Organizations already track 200-500 KPIs. These KPIs reveal data maturity WITHOUT surveys.
If you track "Customer Lifetime Value":
→ You need integrated customer data
→ You need historical transaction data
→ You need analytics capabilities
→ You have moderate-to-high data maturity
If you DON'T track CLV:
→ You likely lack data integration
→ You have lower maturity in customer analytics
We've mapped which KPIs require which data capabilities. Analyze the KPIs = Know the maturity.
Upload existing KPI list (Excel, CSV, or system export)
40+ assessment rules map KPIs to 8 maturity pillars + 60 DQ dimensions
Applies Systemic, Process, Organizational, Technical lens for root cause analysis
Quantitative scores (0-5 scale) across 8 pillars with gap analysis
Comprehensive assessment aligned with industry standards
Policies, ownership, stewardship, accountability structures
Data models, integration, master data, reference data
Accuracy, completeness, consistency, timeliness, validity
Catalogs, lineage, glossaries, documentation
Access controls, encryption, compliance, privacy protection
Provisioning, monitoring, incident management, SLAs
Reporting, dashboards, predictive analytics, data science
Literacy, adoption, change management, training
Terminal operator with 450 tracked KPIs
• High maturity in Operations KPIs (4.2/5)
• Strong safety & compliance tracking
• Low financial analytics maturity (1.8/5)
• Minimal predictive capabilities
• Weak data governance structure
Outcome: Clear roadmap prioritizing financial analytics modernization and governance framework—without a single survey.
40+ proprietary assessment rules built from 25 years of expertise
Categorizes KPIs by type: operational, financial, customer, employee, innovation, risk
Each KPI type requires specific data capabilities (e.g., "CLV" needs customer MDM + transaction history + analytics)
Presence/absence of capability-requiring KPIs generates 0-5 scores across 8 pillars
Applies Systemic, Process, Organizational, Technical lens to identify root cause categories
Ranks gaps by business impact, effort, and strategic alignment
See the Maturity Assessment Engine in action
Interactive dashboard displaying maturity scores across 8 DAMA-aligned pillars with visual radar chart and detailed breakdowns.
Comprehensive assessment report with pillar-by-pillar analysis, gap identification, and prioritized roadmap recommendations.
Complete assessment package in 4 hours
Visual maturity radar chart across 8 pillars with scores and benchmarks
Pillar-by-pillar breakdown with evidence (which KPIs indicate which capabilities)
Prioritized list of capability gaps with business impact assessment
90-day, 180-day, 1-year improvement initiatives with ROI estimates
Partners can upsell implementation services for identified gaps (additional €100K-500K)
€25K-50K
Per maturity assessment
4 hours of work vs. 6 months traditional approach
Partner receives 75% | QuirkySwirl receives 25%