The Data Management Office at the University of Hafr Al Batin was established with the aim of enhancing institutional efficiency through the organization of information assets and ensuring their secure and effective utilization. The Office seeks to enable digital transformation and achieve the highest standards of quality and compliance in data management by adopting national and international best practices in alignment with the objectives of Saudi Vision 2030.
A leading model in data-driven decision-making and the enhancement of institutional efficiency.
To empower the University to utilize data securely and effectively to strengthen governance, foster innovation, and achieve institutional excellence through the development of an integrated data management ecosystem in accordance with the highest national and international standards.
- Establish an integrated institutional framework for data management.
Foster a culture of shared responsibility for data management.
Implement data quality standards.
Achieve secure and effective data integration across different systems.
Classify data according to sensitivity levels while ensuring compliance with national privacy policies.
Develop an intelligent data utilization ecosystem that supports institutional innovation and informed decision-making.
To empower the University to utilize data securely and effectively in order to strengthen governance, foster innovation, and achieve institutional excellence through the development of an integrated data management ecosystem in accordance with national and international best practices.
Values:
Compliance: Commitment to national policies for data protection and privacy.
Reliability: Ensuring the quality and reliability of data for institutional use.
Transparency: Commitment to providing accurate and transparent data to decision-makers.
Strategic Pillars:
Institutional Data Management: Focuses on organizing and governing data through the establishment of clear policies and governance structures, while strengthening coordination among organizational units to support decision-making, enhance institutional efficiency, and ensure compliance with national standards.
Data Quality and Integration: Focuses on ensuring the accuracy, completeness, and consistency of data across systems by implementing national standards and monitoring mechanisms, while improving integration among diverse data sources to support effective analysis and evidence-based decision-making.
Data Utilization and Analytics: Focuses on maximizing the value of data in reporting, analytics, and decision-making by developing analytical capabilities, providing business intelligence tools, and enabling organizational units to access data securely and efficiently to generate added value.