The keys to the UNE data specifications
Fecha de la noticia: 10-10-2023
We live in a constantly evolving environment in which data is growing exponentially and is also a fundamental component of the digital economy. In this context, it is necessary to unlock its potential to maximize its value by creating opportunities for its reuse. However, it is important to bear in mind that this increase in speed, scale and variety of data means that ensuring its quality is more complicated.
In this scenario, the need arises to establish common processes applicable to the data assets of all organizations throughout their lifecycle. All types of institutions must have well-governed, well-managed data with adequate levels of quality, and a common evaluation methodology is needed that can help to continuously improve these processes and allow the maturity of an organization to be evaluated in a standardized way.
The Data Office has sponsored, promoted and participated in the generation of the UNE specifications, normative resources that allow the implementation of common processes in data management and that also provide a reference framework to establish an organizational data culture.
On the one hand, we find the specifications UNE 0077:2023 Data Governance, UNE 0078:2023 Data Management and UNE 0079:2023 Data Quality Management, which are designed to be applied jointly, enabling a solid reference framework that encourages the adoption of sustainable and effective practices around data.
In addition, a common assessment methodology is needed to enable continuous improvement of data governance, management and data quality management processes, as well as the measurement of the maturity of organizations in a standardized way. The UNE 0080 specification has been developed for the development of a homogeneous framework for the evaluation of an organization's treatment of data.
With the aim of offering a process based on international standards that helps organizations to use a quality model and to define appropriate quality characteristics and metrics, the UNE 0081 Data Quality Assessment specification has been generated, which complements the UNE 0079 Data Quality Management.
The following infographic summarizes the key points of the UNE Specifications on data and the main advantages of their application (click on the image to access the infographic).
