Webinar summary: MAMDv3.0 as a reference framework for creating an operating environment for data governance, data quality management and data management
On Wednesday, 24 June, the webinar was held. MAMDv3.0 as a reference framework for creating an operating environment for data governance, data quality management, and data management where we had one of our partners, DQTeam, as a special guest. Ismael Caballero, UCLM Professor & Training Head of DQTeam, spoke about the MAMDv3.0 model.
This model has been developed by a group of experts in government and data management, coordinated by the group. Alarcos of the University of Castilla-La Mancha in collaboration with the companies DQTeam and AQCLab. It consists of a total of 20 processes, and these in turn are grouped into 5 levels of maturity.
The webinar covered various points, which we will briefly outline below:
- Data management: best practices in technology infrastructure management to meet business requirements.
- Data governance: best practices in designing organisational data strategies aligned with business strategies.
- Data quality management: best practices in activities aimed at optimising business data quality requirements.
The reference model MAMD v.3 (Alarcos Data Improvement Model 3.0) integrates data management, data quality management and data governance processes in a joint and coordinated manner, and enables the evaluation and improvement 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 data management, governance and quality.
Implementation of DM, DQM and data governance processes:
- Identify the most relevant or necessary processes for your situation based on the level of maturity.
- Adapt the definition of processes to the circumstances of your company, ensuring that the results of the processes are achieved.
- Adapt the definition of processes to the degree of capability (process attributes) that you are willing to assume (with a view to certification).
“Until people consider it normal to resort to data processing how to drink coffee at 11 a.m., you cannot say that you have a data culture.
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You can watch the full webinar video MAMDv3.0 as a reference framework for creating an operating environment for data governance, data quality management, and data management on our channel YouTube, where you will also find more videos related to data governance. You can subscribe to receive notifications of new videos.