Bio
Dr. Latifa Oubedda is a researcher at the University Ibn Zohr in Morocco, specializing in computer science with a focus on decision support systems and data analytics. She holds a PhD in computer science (INFORMATIQUE Décisionnelle) from the National School of Applied Sciences, University Ibn Zohr. Dr. Oubedda has authored several papers on multidimensional analysis for decision support systems and student management automation. She serves as an editor and reviewer for the Global Journal of Science Frontier Research, contributing to the advancement of scientific knowledge across multiple disciplines. With a growing body of work, she continues to explore applications of data intelligence in educational environments.
Educational Journey
Ph.D.
University Ibn Zohr
National School of Applied Sciences, University Ibn Zohr, Agadir, Morocco, Lotissement Elkhier N°66, Bettana Salé Maroc
Experience
Editors Role
Editor
Global Journal of Science Frontier Research
0 - PresentReviewer
GJCST
2014 -Research
Multidimensional Analysis Data To Create A Decision Support System Dedicated To The University Environment
Our objective is to make proposals for the design of a SIS SID-quality and meet the needs of different stakeholders of the university. This is where we join (which is poorly modeled by the concept of data marts in the current tools of the market), namely the modeling of data resources. Often the documents are deposited on the information system of an organization without classification, without indexing, with all the information on their content, their purpose, their technical requirements and practices. The method of describing the properties of a document is a binding step involves an author and a culture of destruction of documents. Few users perform document properties they file on a system design and information. Then it is naturally more difficult to retrieve these information gaps which usually take the form of voids, it is still necessary that the input fields are provided adequate and appropriately organized, arranged and explained. Indeed, it often happens - for example on an intranet of an organization - the drop zones are not conducive to give relevant information on the properties of materials downloaded. In the best case, the documents are managed by their own systems, accessible through their own search engine or by federated search engines. Why we try to answer the question: how to reproduce a set of metadata specific to multidimensional databases specific to the decision-oriented universities.
Decision Making for Student Management: Automation of Inscription for Faculty
Using data available at the faculty to appreciate closely the contribution of the implementation of a decision tool in a university environment. In fact, this is a business intelligence application to test the equilibrium relationship between activities and aggregations for each category of actors. Thus, we propose an application module: holder on the other hand the creation of an information system dedicated to actor decision student of the Faculty. Taking as an example to study the measure of success by industry, mention of the tray and university year. The choice of this indicator is motivated by the needs and projected orientation of the new registrants. At registration online, the student, depending on its tray and the grade obtained, the system assigns it to one or more dies and offers him a choice to opt for.
