Operational governance framework
Clear rules and responsibilities to govern your data from day one.
Data
Governance.
Data governance, quality, and architecture with the DAMA-DMBOK methodology: roles, policies, and continuous monitoring, so you make reliable decisions on reliable information.
We implement a defined, operational data governance framework that sets the rules and responsibilities to ensure the governance, quality, and security of your data assets.
- Rule definition, monitoring, and continuous improvement of data quality
- Modern, scalable data architecture
- Clear roles and responsibilities across your organization
- Compliance with privacy and security regulations
01Assessment and definition of the governance framework
02Implementation of quality rules and architecture
03Monitoring and continuous improvement
A governance framework, defined and operational.
Modern data architecture
Scalable, to support your operation’s current and future needs.
Clear roles and responsibilities
Every role on your team knows exactly what it governs and what it’s accountable for.
A team dedicated to your data
Data Governance Consultant
Leads the definition and implementation of the governance framework, from start to finish.
Data Architect and Data Engineer
They design and implement the modern data architecture your company needs.
Data Steward
Looks after data quality continuously, with clear, measurable rules.
Security Specialist
Ensures compliance with privacy and information security regulations.
When does it make sense to govern your data?
When every department manages its data its own way, with no common rules.
No defined governance framework
When you need to comply with data privacy and security regulations.
Regulatory compliance
When your data quality won’t let you trust your reports.
Unreliable decisions
The results behind this solution.
+90%data quality
-40%time to access reliable information
100%traceability of data-driven decisions
Your questions, answered
What is the DAMA-DMBOK methodology?
An international reference framework for data governance, quality, and architecture within an organization.
How long does implementation take?
It rolls out in phases, from defining the governance framework to monitoring and continuous improvement, which starts from the ninth month.
Which roles are involved?
Data Governance Consultant, Data Architect, Data Engineer, Business Analyst, Security Specialist, Data Steward, and Organizational Change Consultant.
What results can I expect?
An operational governance framework, clear roles and responsibilities, a modern data architecture, and quality rules in place.