- 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.