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

LADY establishes a compilation of good practices for data management, where two concepts stand out: Data Governance and Data Management. However, these two concepts must be differentiated because they imply a separation of functions between supervision and execution. Data governance is responsible for ensuring that data is properly managed to turn it into a strategic asset from which an organisation can derive value. business value, while data management is responsible for executing the corresponding activities in order to achieve the goals for which the data is available.

Data Governance, according to the DAMA framework, must meet three key characteristics. Firstly, it must be sustainable over 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 to be able to demonstrate the improvements achieved through its implementation.

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

First of all, from the point of view of solution design and functional architecture, Anjana Data is fully aligned with the DAMA framework and maintains its same principles, which is a very relevant first starting point.

In addition, the configurability and flexibility The platform's features allow for a very high degree of adaptation and customisation, so that organisations can adapt it according to their specific needs to meet their requirements arising from the implementation of the framework to their reality and degree of maturity.

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

• Promotes governance that is agnostic to data storage, processing, and management technologies.
• Understands data governance as a bespoke solution for each organisation.
• Understands stewardship as accountability and responsibility for data assets and processes that ensure effective control and use of data assets.
• It is designed to be flexible, configurable, intuitive, and user-friendly with the objective of facilitating its use in the organisation's day-to-day operations.
• It remains aligned with the organisation's strategy, and therefore, with the business.
• Encourages the idea that all functionalities promote proactive and preventive governance as opposed to the traditional passive governance offered by other governance tools on the market.
• It differentiates the monitoring function (Data Governance) from execution (data management).

Discover through the following RESOURCE todos los detalles sobre cómo Anjana Data se ajusta al marco DAMA.