THE FRAMEWORK
How the assessment works
The Planaletix Data Management Maturity Assessment (DMMA) is a structured diagnostic instrument designed to evaluate an organization's capability to manage data as a strategic enterprise asset. The assessment provides a scored maturity profile across ten critical dimensions, benchmarked against GCC regional averages, with prioritized recommendations for closing capability gaps and advancing toward a data-driven organization.
It examines the full lifecycle of organizational data capability — from governance, architecture and data quality through to metadata, master data, security, privacy, integration, analytics enablement and the organizational culture required to sustain data as a competitive advantage.
The DMMA is not a technical audit. It is a strategic data management evaluation that answers the question every board and executive team should be asking: "Do we manage data as a strategic asset, or merely as an unavoidable by-product of our operations?"
10 DIMENSIONS · 100 QUESTIONS
Explore the dimensions and maturity levels
WHO IT IS FOR
Built for the leaders accountable for data
The DMMA is designed for the leaders accountable for an organization's data and the decisions and compliance that depend on it:
- Chief Data Officers and CIOs requiring an evidence-based baseline of enterprise data management maturity
- CEOs and Boards evaluating readiness to deliver AI, analytics and digital transformation programmes that depend on trusted, governed data
- Chief Risk Officers assessing data governance and privacy obligations under UAE PDPL, GDPR and sector regulations
- CTOs evaluating data architecture, integration and infrastructure adequacy for the technology roadmap
- Data Governance Councils and Data Stewardship Committees seeking an independent baseline for programme planning and investment
- GCC government entities aligning with national data strategies, including the UAE National Data Strategy 2031 and the Saudi Vision 2030 data agenda
- Enterprise Risk Management and Internal Audit requiring assurance of data governance effectiveness
- Digital transformation leaders whose initiatives depend on trusted, accessible, high-quality data
The DMMA evaluates data management maturity at the organizational level — enterprise-wide, not a single system, database or business unit. It applies to government entities, financial institutions, healthcare, energy and utilities, telecommunications, retail and any enterprise where data underpins decisions, operations and regulatory compliance. Benchmarks, regulatory examples and guidance are calibrated to the UAE, Saudi Arabia, Qatar, Kuwait, Bahrain and Oman.
STANDARDS ALIGNMENT
Mapped to the standards you are measured against
The framework draws from and aligns with eleven international standards and frameworks:
- DAMA DMBOK v2 — the definitive professional reference, providing the knowledge areas that anchor the dimensions
- DCAM (EDM Council) — maturity progression criteria for the governance and architecture dimensions
- ISO 8000 — data quality terminology, process quality and data quality management systems
- ISO/IEC 25012:2008 — the data quality model underpinning the Data Quality Management dimension
- UAE PDPL (Federal Decree-Law No. 45 of 2021) and Dubai Law No. 26 of 2015 (Dubai Data Law)
- EU GDPR — for organizations with European data subjects or cross-border processing
- NIST SP 800-53 Rev. 5 and the NIST Privacy Framework v1.0
- Gartner Data & Analytics Maturity Model, the IBM Data Governance Council Maturity Model and the MIT CDOIQ framework
WAYS TO TAKE IT
Two ways to take the assessment
THE FRAMEWORK AT A GLANCE
Data Management: all 10 dimensions
- D1 Data Governance & Accountability — 15%
- D2 Data Architecture & Modelling — 10%
- D3 Data Quality Management — 15%
- D4 Metadata Management & Data Catalogue — 10%
- D5 Master Data & Reference Data Management — 10%
- D6 Data Security & Privacy Compliance — 15%
- D7 Data Integration & Interoperability — 10%
- D8 Data Storage & Lifecycle Management — 5%
- D9 Analytics & BI Enablement — 5%
- D10 Data Culture & Organizational Capability — 5%
QUESTIONS
Frequently asked questions
What does the assessment cover?
Ten weighted dimensions: data governance, architecture and modelling, data quality, metadata and catalogue, master and reference data, security and privacy compliance, integration, storage and lifecycle, analytics enablement, and data culture — 100 structured questions in total.
How is the score calculated?
Each dimension is scored on a five-level maturity scale and weighted into an overall score. The Critical Threshold Rule ensures foundational weaknesses in governance, quality or security and privacy are reflected in the overall level.
What do we receive?
An executive summary with priorities, a maturity profile, per-dimension findings, sector and regional benchmarking, and a 6–12 month action plan with the top five priorities, a capability roadmap, governance and operating-model and resourcing recommendations, and use-case recommendations.
Who should take part?
The leaders accountable for data — typically the CDO or CIO, CTO, data governance council and stewards, risk, compliance and internal audit.
Online or with a consultant?
Take the online self-assessment (USD 3,500) or ask for a consultation assessment scoped to your organization. Contact info@planaletix.com for a consultation.