Data intelligence & digital governance
We help organisations and public administrations to define data management and exploitation strategies, to identify and enhance the data relevant to their activities, and to develop mechanisms for monitoring, collecting, processing and exploiting them, adopting data governance, management and quality practices.
We integrate the management and use of data into the digital transformation strategies of territories and organisations, always from a business perspective and vision, generating competitive advantages and driving innovation and the development of new products and services through digitisation.
Marco Arévalo
Services
- Digital transformation diagnostics and strategies: We design public policy strategies for the digital transformation of territories and organizations, promoting the use of digital technologies to improve the quality of life of citizens, the efficiency of public management and the economic competitiveness of priority sectors.
- GovTech programs: Innovation and digital transformation plans designed to improve the efficiency and effectiveness of public services, identifying and testing new technological solutions that improve the quality of life of citizens.
- Regulation and management standards and interoperability: Implementation of management models based on UNE 0077 - 0080; implementation of the Alarcos Data Maturity model; studies and implementation of regulation and standards for interoperability and data spaces.
- Data Strategies: Definition of technologies, processes, resources and procedures for the administration and management of public organizations' data, to get the most out of the data, with a focus on the user/client.
- Assessment of the level of maturity in the use of data: Analysis of the degree of value that organizations generate through the governance and use of data, as well as their situation in terms of quality, structure, security and use of data.
- Data offices: Definition, sizing, planning and deployment of data offices, as spaces within the organizations in charge of strategic data management.
- Data governance, data management and data quality management: Implementation of procedures for the control and management of data assets (collection, control, protection, handling and exploitation).
- Data Monetization: Feasibility analysis for data monetization in organizations, from a business perspective.