Technology
Data Maturity
10 domains ยท 30 questions ยท based on contemporary best practice and leading research.
How it works
Assess
Answer 30 questions across 10 domains.
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Domains covered
10 areas
Governance
Domain
The exercise of authority, control and shared decision-making over the management of data assets. Includes polโฆ
Quality
Domain
Planning, implementation and control of activities that apply quality management techniques to ensure data is โฆ
Architecture
Domain
Defining the blueprint for managing data assets by aligning with organizational strategy. Includes conceptual,โฆ
Integration
Domain
Processes related to the movement and consolidation of data within and between systems. Covers ETL/ELT, APIs, โฆ
Security
Domain
Ensuring data is protected from unauthorized access and that privacy regulations are met. Covers access controโฆ
Master Data
Domain
Managing the core shared data entities (customers, products, locations) to ensure a single source of truth acrโฆ
Analytics
Domain
Enabling evidence-based decision-making through reporting, analytics, data science and AI/ML capabilities. Covโฆ
Metadata
Domain
Managing data about data - including business glossaries, data catalogs, data lineage, and technical metadata โฆ
Literacy
Domain
Building organizational capability to read, work with, analyze and communicate with data. Covers training, chaโฆ
DataOps
Domain
The technical infrastructure, processes and practices that support reliable data delivery. Covers DataOps, plaโฆ
Maturity scale
Ad hoc and reactive. No formal processes, reliant on individual effort.
Basic awareness and some repeatable processes emerging.
Documented standards and processes applied consistently.
Measured, monitored and controlled with quantitative targets.
Continuous improvement driven by data and innovation.
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