About
The Data Unit at the Imam Abdulrahman bin Faisal University for Scientific Research and Innovation was established in 2023 AD as the university’s first data unit. The unit works within the management of the Scientific Research Marketing Unit as a comprehensive platform that manages data and information related to the agency’s specialties. This is done by collecting, verifying, classifying processing and documenting its authenticity to contribute to raising the efficiency of the decision-making process and enhancing the principle of data sharing, in accordance with regulations and laws, in line with the strategies and policies of the Saudi Data and Artificial Intelligence Authority (SDAIA).
Vision
Excellence in governance and management of the data of the University Agency for Scientific Research and Innovation in accordance with the university’s vision and in line with the National Strategy for Data and Artificial Intelligence.
Mission
Managing data related to the competencies of the University Vice Presidency for Scientific Research and Innovation by collecting, processing, preserving and sharing it with the relevant authorities. This enhances the importance of data and achieves the maximum benefit from it.
Values
Achievement, Cooperation, Quality, Precision, Transparency
Objectives
- Managing and governing access to data andinformation related to the specializations of theUniversity Agency for Scientific Research and
- Innovation.
- Documenting data and information while maintaining the privacy of personal data and the principle of data confidentiality.
- Enhancing cooperation with relevant external parties by providing them with the necessary data after its approval.
- Participate in raising awareness and educating university employees about the importance of data and information.
- Supporting the efficiency of the decision-making process.
Tasks
The Data Unit at the Vice Presidency for Scientific Research and Innovation performs several tasks, most notably:
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Providing a reliable source of information related to the agency, such as: financial resources, human resources, facilities, and services provided.
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Performing data processing, analysis, and presentation in a logical manner.
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Preparing reports to assist in the decision-making process.
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Activating relevant international days, such as World Statistics Day.
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Launching awareness campaigns on data science.
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Preparing relevant brochures and guides.
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Providing standards for data quality.
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Using machine learning and artificial intelligence techniques to analyze data and provide valuable insights that contribute to the decision-making process.
Data Unit Services
Data analysis and visualization
Data analysis: the process of examining and interpreting data to extract valuable ideas and information. This includes collecting, organizing, transforming, and modeling data to identify patterns, trends, and relationships.
Data visualization: the process of visualizing data to help users understand and interpret it easier. This includes creating graphs, charts, and other data presentations to illustrate information and ideas in a clear and effective way.
Data analytics and visualization can help organizations and individuals make better decisions by providing a deeper understanding of their data, thereby making better decisions, and achieving better results.
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Service Description |
Provided Services |
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It is a program that creates interactive visualizations and reports of data for analysis. |
Tableau |
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It is a tool for analyzing and interpreting data and creating visual reports and statistics. |
Power BI |
Forecasting Models
Forecasting models: are analytical tools used to predict future results based on past data. Forecasting models typically rely on artificial intelligence, machine learning, and statistics techniques to analyze data and infer patterns and trends in it, and allow users to analyze data more accurately and effectively and provide accurate predictions of future events.
These models are used in different fields, and prediction models rely on machine learning to analyze the data and extract patterns from it. Machine learning is a powerful technology that allows systems to learn data and continuously improve their performance, through the use of modern algorithms and techniques that help analyze data accurately and effectively.
Reports & Statistics
Report writing: the process of analyzing and documenting available data and information and presenting them in an organized and logical manner so that the necessary information and studies can be provided to make important decisions.
Activate Automatic Data Refresh
Automatic data refresh is useful for entities that require regular updating for short periods. In addition, it keeps the data updated to its latest update, thus enabling statistics from it faster.
The program used to perform this service is the Gateway program, and to activate this service, the entity requesting the service is required to install it on their computer.
Frequently Asked Questions
Tableau vs. Power BI:
Tableau and Power BI are both leading data analysis tools on the market, each with its own unique features and characteristics that make it suitable for specific needs. Let's explore the key differences between the two:
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Ease of Use:
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Tableau: Offers a flexible and intuitive user interface, making it an excellent choice for new users with little experience in data analysis. Visualizations and reports can be created easily and smoothly.
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Power BI: Also provides a user-friendly interface, but there may be a slightly longer learning curve, especially for users without a background in other Microsoft products.
Integration:
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Tableau: Works independently and does not require extensive integration with other tools.
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Power BI: Integrates closely with other Microsoft products such as Excel and SharePoint, making it an attractive option for companies already using these products.
Flexibility:
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Tableau: Offers great flexibility in creating visualizations and customization, allowing users to create highly customized reports.
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Power BI: Also offers good flexibility, but some advanced features may be limited to higher versions.
Cost:
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Tableau: Is typically more expensive than Power BI, especially for professional versions.
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Power BI: Offers a variety of pricing options, including a free version, making it a more attractive option for small and medium-sized businesses.
Community:
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Tableau: Has a large and active user community, providing many resources and support for users.
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Power BI: Also has an active community, but it may be smaller in size compared to Tableau.
Focus:
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Tableau: Focuses more on visualizations and interactivity, making it ideal for creating attractive dashboards.
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Power BI: Offers a wider range of features, including predictive analytics and integration with artificial intelligence, making it suitable for a variety of uses.
What is Machine Learning?
It is a branch of artificial intelligence that enables computers to learn from data and past experiences, and make decisions or predictions independently. Instead of writing specific instructions for the computer to perform a task, we give it a large amount of data, and it learns the patterns and relationships within it to be able to make intelligent decisions.
What is the role of machine learning in prediction?
Simply put, machine learning is used to analyze historical data and find patterns and relationships between different variables. Once the system discovers these patterns, it can use them to predict future events.
What is data science?
Data science is a multidisciplinary field that combines computer science, statistics, and mathematics to extract valuable insights from large datasets. It involves collecting, cleaning, analyzing, and interpreting data to make better decisions.
What is the difference between data science and statistical analysis?
Data science relies on statistical analysis as a fundamental tool, but it goes beyond that to include machine learning and deep learning techniques, as well as dealing with massive amounts of data.
