What happens if your organisation fails to align with critical Governance, Risk and Compliance (GRC) frameworks? Regulatory fines, failed audits, reputational damage, and lost contracts are just the beginning. The Compliance Frameworks in Governance Risk and Compliance Dataset is your definitive 2024 self-assessment solution: a comprehensive, analysis-ready dataset of 1,535 prioritised GRC requirements mapped to international standards, enabling you to identify compliance gaps, benchmark maturity, and implement controls with precision, before regulators or breaches expose your weaknesses.
What You Receive
- 1,535 prioritised GRC requirements structured across 12 core compliance domains including data protection, financial controls, third-party risk, incident response, and corporate governance, each with clear descriptions, implementation criteria, and alignment to ISO 27001, NIST CSF, GDPR, SOX, and COSO
- 58-page self-assessment workbook (PDF + editable Excel) featuring weighted scoring models, gap analysis matrices, and automated risk heat maps to quantify compliance maturity and prioritise remediation efforts
- Industry benchmarking dataset (CSV/Excel) with aggregated compliance scores from 217 organisations across financial services, healthcare, technology, and government sectors, enabling you to compare your posture against peers
- Framework cross-mapping table linking each requirement to relevant clauses in 8 major regulatory and industry standards, eliminating duplicate assessments and streamlining audit preparation
- Remediation roadmap template (Excel) with built-in prioritisation logic based on risk severity, effort-to-implement, and regulatory criticality, helping you allocate resources efficiently
- Instant digital access to all files upon purchase, with no subscriptions, no licensing fees, and full internal redistribution rights for your team or clients
How This Helps You
You don’t just get a list of compliance items, you gain a strategic advantage. By conducting a rigorous self-assessment using this dataset, you can detect high-risk control gaps in under two hours, avoiding non-compliance penalties that average USD $2.1 million per incident. You’ll answer definitively: Where are we exposed? What must we fix first? How do we prove adherence to auditors? Without this tool, you risk relying on outdated checklists, fragmented policies, or consultant-led assessments that cost five times more and take weeks longer. This dataset empowers you to act decisively, reduce audit findings by up to 70%, and position your programme as a proactive business enabler, not a cost centre.
Who Is This For?
- Compliance Managers who need to conduct annual framework assessments and report findings to executives and regulators
- Chief Risk Officers and GRC Leads building enterprise-wide risk mitigation strategies aligned to multiple standards
- Internal Auditors preparing for SOC 2, ISO, or SOX audits and requiring verified, structured assessment criteria
- Consultants and Advisors delivering GRC maturity assessments to clients and needing defensible, repeatable methodologies
- IT Security and Data Protection Officers mapping technical controls to regulatory obligations like GDPR or CCPA
This is the smart, professional choice for any leader accountable for compliance outcomes. With complete coverage of 12 governance domains, instant access, and AI-ready structured data, the Compliance Frameworks in Governance Risk and Compliance Dataset transforms uncertainty into action, giving you confidence, control, and credibility from day one.
What does the Compliance Frameworks in Governance Risk and Compliance Dataset include?
The Compliance Frameworks in Governance Risk and Compliance Dataset includes 1,535 prioritised requirements mapped to ISO 27001, NIST CSF, GDPR, SOX, COSO, and other major standards; a 58-page self-assessment workbook with scoring models and gap analysis tools; an industry benchmarking dataset in CSV and Excel; a framework cross-mapping table; and a remediation roadmap template, all available as an instant digital download.