Data Gov Compiance Assessment

Data Governance & Maturity Intelligence | StripesAid
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Data Governance &
Maturity Assessment

Receive a quantified maturity score, domain diagnostics, AI-generated recommendations and a full governance roadmap in under 15 minutes.

⏱ ~12–15 min to complete
📊 5 governance domains
📄 PDF executive report included
🤖 AI recommendations
Step 1 of 5
Intake & Initial Setup
Tell us about your organisation so we can tailor your assessment and report. A confirmation summary will be shown before you proceed.
1 / 5
ℹ️ All information you provide is used solely to generate your assessment report and is not stored on external servers.
🏢 Organisation Details
👤 Assessment Lead Contact
🎯 Assessment Objectives
🛠️ Existing Data Capabilities
Step 2 of 5
Discovery & Diagnostic
Answer questions across 5 governance domains. Be as honest as possible — this is for your benefit.
Domain 1/5
Overall Progress
0%
🏛️

Domain 1: Data Governance Framework

Assessing governance structures, ownership and accountability

Not answered
1.1 Does your organisation have a formally documented data governance framework or policy? *
This includes defined rules, standards, and processes for managing data as a strategic asset.
1.2 Are data owners formally assigned for all critical data domains or assets? *
e.g. Customer data, financial data, HR data each have a named accountable owner.
1.3 Does a Data Stewardship programme exist with defined roles and responsibilities? *
Stewards are operational contacts responsible for day-to-day data quality and standards within their domain.
1.4 Is there a formal process for logging, escalating, and resolving data issues? *
This includes a helpdesk, ticketing system, or defined escalation path when data problems arise.
1.5 How would you rate the overall maturity of your data governance practices? *
1 = No practices exist · 5 = Fully embedded, continuously improved
Ad hoc / none Optimised
✅

Domain 2: Data Quality Management

Assessing data accuracy, validation, and quality monitoring

Not answered
2.1 Are data quality rules formally defined and documented for your critical datasets? *
e.g. Completeness, uniqueness, accuracy and validity thresholds are documented and agreed.
2.2 Is data quality monitored on a regular, automated basis? *
Regular = at minimum monthly. Automated = without manual intervention.
2.3 When data quality issues are detected, is there a structured remediation process? *
Not just detection — but a defined process for who fixes it, how, and within what timeframe.
2.4 Do stakeholders and decision-makers trust the accuracy of your organisation's data? *
Regularly questioned or contested data undermines business decisions.
2.5 Rate the overall quality of your organisation's data across key systems. *
1 = Highly unreliable / frequently wrong · 5 = Consistently accurate and trusted
Unreliable Fully trusted
🏗️

Domain 3: Data Architecture & Integration

Assessing systems, data flows, and integration maturity

Not answered
3.1 Is your data architecture formally documented and kept up to date? *
Includes system diagrams, data flow maps, and integration documentation.
3.2 Do you have a central data warehouse, data lake, or unified data platform? *
A single source of truth rather than multiple disconnected systems.
3.3 Are data integrations between systems managed through defined pipelines (not manual extracts)? *
ETL/ELT pipelines, API integrations, or event-driven data movement rather than spreadsheet-based transfers.
3.4 Can you trace data from its source system to its final use in reports or decisions? *
End-to-end visibility of where data comes from, how it is transformed, and where it lands.
3.5 Rate the maturity of your data architecture and integration landscape. *
1 = Entirely siloed and undocumented · 5 = Fully integrated, automated, and governed
Siloed / manual Fully integrated
🔍

Domain 4: Metadata & Data Lineage

Assessing cataloguing, definitions, and traceability of data

Not answered
4.1 Does your organisation use a data catalogue to document and discover data assets? *
e.g. Collibra, Alation, Microsoft Purview, Atlan, or a custom-built catalogue.
4.2 Is there a business glossary with agreed definitions for key metrics and terms? *
e.g. Does "Active Customer", "Revenue", or "Headcount" mean the same thing across all teams?
4.3 Can data lineage (origin, transformation history) be tracked for critical datasets? *
Knowing exactly where data came from and what has been done to it before it reaches a report.
4.4 Are KPIs and metrics standardised and calculated consistently across reporting tools? *
No conflicting figures across departments or tools for the same underlying metric.
4.5 Rate the maturity of your metadata management and data lineage capability. *
1 = No metadata management exists · 5 = Full catalogue with lineage and governed glossary
No metadata Fully catalogued
🔒

Domain 5: Security & Regulatory Compliance

Assessing data protection, access controls, and audit readiness

Not answered
5.1 Is your organisation aligned with applicable data protection regulations (e.g. GDPR, HIPAA, SOX)? *
This includes having a Data Protection Officer, privacy notices, and lawful basis for processing.
5.2 Are data access controls implemented based on least-privilege / role-based access (RBAC)? *
People only have access to the data they need for their role, no more.
5.3 Is sensitive and personal data formally classified and labelled? *
e.g. PII, confidential, internal, public classification scheme applied to data assets.
5.4 Could your organisation pass a regulatory data audit with confidence today? *
Audit trails, data retention policies, subject access requests, breach notification processes are in place.
5.5 Rate your organisation's overall data security and compliance posture. *
1 = No controls in place · 5 = Fully compliant, regularly audited and certified
No controls Fully certified
Step 3 of 5
Data Health Snapshot
Your quantified maturity score and domain-level diagnostic breakdown.
3 / 5
—
out of 5

Calculating…

⏳ Processing

Domain Score Comparison

Governance Radar

Step 4 of 5
Strategic Insights & Roadmap
AI-generated recommendations and your prioritised governance improvement roadmap.
4 / 5
🤖 AI-Generated Strategic Recommendations Powered by StripesAid Intelligence
 Generating tailored recommendations…
Governance Improvement Roadmap
📄

Executive-Grade PDF Report

Download a board-ready report including your maturity score, domain diagnostics, AI recommendations, and full roadmap — suitable for executive presentation.

Step 5 of 5
Engagement Handoff & Next Steps
Your assessment is complete. Here is how StripesAid can support your governance transformation.
5 / 5
✅
Assessment Complete — Data Health Snapshot Generated Your report is ready. Your results have been compiled into an executive summary. Download your PDF to share with your leadership team.

Your Journey with StripesAid

1
Intake &
Setup
2
Discovery &
Diagnostic
3
Maturity
Score
4
Strategic
Insights
5
Engagement
Handoff
📋

Extended Assessment

A deeper, consultant-led assessment across all departments with customised domain weighting.

  • Multi-department benchmarking
  • Stakeholder interview programme
  • Technical architecture review
Learn More →
🎓

Data Governance Training

Build internal capability through structured training programmes for data owners, stewards, and leadership.

  • Governance fundamentals workshop
  • Data steward certification path
  • Executive data literacy sessions
Enquire →
📄

Download Your Executive Report

Your board-ready PDF report is ready for download and presentation.

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