Discover the keys to alignment between Anjana Data and the DAMA framework.

LADY establishes a compilation of best practices for data management, highlighting two concepts: the Data Governance and the Data Management. However, these two concepts must be differentiated because they imply a separation of functions between supervision y execution. Data governance is responsible for ensuring that data is managed appropriately so that it becomes a strategic asset from which an organisation can derive value. business value, while data management is responsible for carrying out the corresponding activities with the aim of achieving the goals for which the data is available.

According to the DAMA framework, data governance must fulfil three key characteristics. Firstly, it must be sustainable in time to accompany the organisation throughout its life; secondly, it must be embedded to be incorporated into the organisation's day-to-day processes; and thirdly, it must be measurable in order to demonstrate the improvements achieved thanks to its implementation. 

In this context, the key question we want to answer today is: How does Anjana Data assist organisations in implementing and operationalising the DAMA framework?

Firstly, from the point of view of solution design and functional architecture, Anjana Data is fully aligned with the DAMA framework and adheres to its principles, which is a very important starting point. 

Furthermore, the configuration capabilities and flexibility of the platform allow for a high degree of adaptation and customisation, so that organisations can tailor it to their specific needs to meet the requirements arising from the implementation of the framework in their particular context and level of maturity.

Furthermore, following the guidelines of the DAMA framework, Anjana Data...

• Promotes a government that is agnostic to data storage, processing and management technologies.
• Understand data governance as a tailor-made suit for each organisation.
• Understand stewardship as accountability and responsibility for data assets and the processes that ensure effective control and use of data assets.
• It is designed to be flexible, configurable, intuitive, and user-friendly with the aim of facilitating its use in the day-to-day running of the organisation.
• It remains aligned with the organisation's strategy and, therefore, with the business.
• It promotes the idea that all functionalities encourage proactive and preventive governance, as opposed to the traditional passive governance offered by other governance tools on the market.
• Distinguish between the supervisory function (data governance) and execution (data management).

Discover through the following RESOURCE all the details on how Anjana Data is aligned with the DAMA framework.