Webinar Summary: MAMDv3.0 como marco de referencia para la creación de un entorno operativo para el gobierno del dato, gestión de calidad de datos y gestión de datos

Last Wednesday, June 24th, was held the webinar “MAMDv3.0 como marco de referencia para la creación de un entorno operativo para el gobierno del dato, gestión de calidad de datos y gestión de datos” where we had one of our DQTeam partners as a special guest Ismael Caballero, Professor UCLM & 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 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.

In the webinar different points were developed that we detail briefly below:

• Data management: good practices in technological infrastructure management to satisfy business requirements.
• Data Governance: good practices in the design of organizational data strategies aligned with business strategies.
• Data quality management: good practices in activities aimed at optimizing 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 organization’s processes related to data management, governance and quality.

MAMDV3.0, Process Reference Model

Components: assess and improve the capacity of the organization’s processes related to management, governance and data quality.

Implementation of the DM, DQM and Data Governance processes

1. Identify the most relevant or necessary processes for your reality according to the level of maturity.
2. Adapt the definition of the processes to the circumstances of your company, ensuring that the results of the processes are met.
3. Adapt the definition of the processes to the degree of capacity (process attributes) that you are willing to assume (for a certification).

“Until people consider it normal to resort to data processes like drinking coffee at 11:00, they cannot say they have a data culture”.

If you want to know more about how Anjana Data can help you in data strategy by changing the vision of data governance in your organization, ask for a live demonstration.

You can watch the full video of the “MAMDv3.0 como marco de referencia para la creación de un entorno operativo para el gobierno del dato, gestión de calidad de datos y gestión de datos” on our Youtube channel, where you will also find more videos related to data governance. You can subscribe to receive notifications of new videos.