Data Management Office
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The Data Management Office was established at the University of Hafr Al-Batin with the aim of enhancing institutional efficiency by organizing information assets and ensuring their safe and effective use. The office seeks to enable digital transformation and achieve the highest levels of quality and compliance in data management, by applying the best national and international practices, and in line with the requirements of the Kingdom’s Vision 2030.
Values:
- Compliance: Adherence to national policies for data protection and privacy.
2. Reliability: Ensuring data quality and reliability for institutional use.
3. Transparency: Commitment to making accurate and clear data available to decision makers
Strategic pillars:
- Institutional data management: It focuses on organizing and governing data by establishing clear policies and structures for its management, and enhancing coordination between entities, with the aim of supporting decision-making, achieving institutional efficiency, and complying with national standards.
- Data Quality and Integration: Focuses on ensuring the accuracy, completeness, and consistency of data across systems, by applying national standards and regulatory tools, and improving integration between different data sources to support effective analysis and decision-making based on reliable data.
- Data use and analysis: It focuses on enhancing data investment in reports, analyses, and decision-making, by building analytical capabilities, providing business intelligence tools, and enabling entities to access data in safe and effective ways to achieve added value.
Get to know the office
Vision
A pioneering model in data-based decision making and enhancing efficiency Institutional.
message
Enabling the university to use data safely and effectively to enhance governance, innovation, and achieve institutional excellence, by developing an integrated data management system in accordance with the best national and international standards.
Objectives
Building an integrated enterprise architecture for data management.
Establishing a culture of shared responsibility for data management.
Apply data quality standards.
Achieving secure and effective integration of data between different systems.
Classification of data according to levels of sensitivity and compliance with national privacy policies.
Building an intelligent system for using data that supports institutional innovation and decision-making.
Enabling the university to use data safely and effectively to enhance governance, innovation, and achieve institutional excellence, by developing an integrated data management system in accordance with the best national and international standards.

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