- Implementing policies, standards, and controls to govern data practices and improve data quality and reliability.
- Establishing and activating the data office to develop and enhance data management practices and develop the office's operational model according to the requirements of the National Data Management Office.
- Understanding and documenting data requirements, key data entities, the relationships between them and the main systems, and their quality requirements.
- Data is considered an asset for improving its quality by identifying business data requirements to support the generation of reports, analyses, and insights.
- A central platform that enables the university to collect, process, manage, analyze data, monitor its quality, and promote its use.
- Providing the necessary tools to automate data management and governance processes, implement business intelligence use cases, and generate reports and key business indicators to support decision-making.
- Operating the Data Management and Governance Office to monitor compliance with the requirements of the National Data Management Office and operating the data platform and tools.
- Providing the necessary personnel to operate the Data Management and Governance Office, technical personnel to operate the platform and technical tools, and analytics personnel to develop data use cases.
Last update:
13/01/2026 - 11:17