Webinar Summary: MAMDv3.0 as a reference framework for creating an operating environment for data governance, data quality management, and data management
Last Wednesday, 24th June, the webinar was held. «MAMDv3.0 as a reference framework for creating an operational environment for data governance, data quality management, and data management.» where we had one of our DQTeam partners as a special guest Ismael Caballero, Professor at the University of Castilla-La Mancha (UCLM) and Head of Training at DQTeam, discussed the MAMDv3.0 model.
This model has been developed by a group of experts in government and data management, coordinated by the Alarcos group of the University of Castilla-La Mancha in collaboration with the companies DQTeam and AQCLab. It is composed of a total of 20 processes, and these in turn are grouped into 5 levels of maturity.
During the webinar, various points were discussed, which we will briefly outline below:
- Data management: good practices in technological infrastructure management to satisfy business requirements.
- Data Governance: good practices in the design of organisational data strategies aligned with business strategies.
- Data quality management: good practices in activities aimed at optimising business data quality requirements.
The reference model MAMDv.3 (Alarcos Data Improvement Model 3.0) integrates the processes of data management, data quality management and data governance, in a joint and coordinated way, and allows the evaluation and improvement of the capacity of the organisation's processes related to data management, governance and quality.
MAMDV3.0, Process Reference Model
Components: assess and improve the capacity of the organisation's processes related to management, governance and data quality.
Implementation of the DM, DQM and Data Governance processes
- Identify the most relevant or necessary processes for your reality according to the level of maturity.
- Adapt the definition of the processes to the circumstances of your company, ensuring that the results of the processes are met.
- Adapt the definition of the processes to the degree of capacity (process attributes) that you are willing to assume (for certification).
«Until people consider it normal to resort to data processes like having coffee at 11:00, they cannot claim to have a data culture.
If you would like to learn more about how Anjana Data can assist you with your data strategy by changing the vision of data governance in your organisation, request a live demonstration.
You can watch the full video of the «MAMDv3.0 as a reference framework for creating an operational environment for data governance, data quality management, and data management.» on our YouTube channel, where you will also find more videos related to data governance. You can subscribe to receive notifications of new videos.