Dataruba
Data Maturity Model
Understand where your organization stands on the data maturity journey and discover the concrete steps needed to advance to the next level.
Your Journey
The Five Levels of Data Maturity
Click on any level to explore its characteristics and discover the actions needed to advance to the next stage.
1
Level 1
Ad Hoc & Reactive
Initial
Data is scattered across departments with no formal strategy or governance. Decisions rely on intuition or manual spreadsheets. There is no single source of truth, and reporting is inconsistent.
Characteristics
- No data strategy or ownership
- Data siloed in separate systems
- Manual, spreadsheet-based reporting
- Inconsistent data definitions across teams
- No data quality checks or monitoring
Actions to Advance
- Appoint a data owner or champion in the organization
- Inventory your key data sources and systems
- Define basic data terminology and common standards
- Create a simple data register or log
- Identify your top 3 critical reporting needs
Ready to Advance?
Let Dataruba Accelerate Your Data Maturity
Our consultants assess your current maturity level and build a practical roadmap to reach your target state — efficiently and sustainably.