Open Source Business Intelligence Systems: A Case of the Technical University of Kenya - Couverture souple

Obonyo, Ishmael; Opiyo, Elisha; Okelo, William

 
9783659933462: Open Source Business Intelligence Systems: A Case of the Technical University of Kenya
Couverture souple
ISBN 10 : 3659933465 ISBN 13 : 9783659933462
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

Latest advancements in information and communication technology have enabled organizations to develop innovative ways to intelligently collect data that may not be possible before. This has led to the explosion of data and unprecedented challenges in making strategic and effective use of this data for reporting towards decision making. Business Intelligent (BI) systems fill the gap by providing timely, accurate, and actionable information to the right person enabling quick and correct decisions. This book describes an open source implementation of a BI System taking a case of the Technical University of Kenya. The implementation was achieved using Hadoop cluster integrated with R statistical software. A data warehouse was developed. Various analytics were performed like student admission trends and staff distribution patterns. Challenges relating to data retrieval and Hadoop configurations were experienced. The issues in TUK are evident in other universities in Kenya. In effect, it is believed that the BI system implementation approach would be replicated in other universities in Kenya, and even other sectors of the economy like health, security, and banking, among others.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Latest advancements in information and communication technology have enabled organizations to develop innovative ways to intelligently collect data that may not be possible before. This has led to the explosion of data and unprecedented challenges in making strategic and effective use of this data for reporting towards decision making. Business Intelligent (BI) systems fill the gap by providing timely, accurate, and actionable information to the right person enabling quick and correct decisions. This book describes an open source implementation of a BI System taking a case of the Technical University of Kenya. The implementation was achieved using Hadoop cluster integrated with R statistical software. A data warehouse was developed. Various analytics were performed like student admission trends and staff distribution patterns. Challenges relating to data retrieval and Hadoop configurations were experienced. The issues in TUK are evident in other universities in Kenya. In effect, it is believed that the BI system implementation approach would be replicated in other universities in Kenya, and even other sectors of the economy like health, security, and banking, among others.

Biographie de l'auteur

Ishmael N. Obonyo, M.Sc., Studied Computational Intelligence at the University of Nairobi. Specializes in Big Data, Data Analytics, Hadoop, Machine Learning. Technologist at the Technical University of Kenya, Nairobi-Kenya.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659933465
ISBN 13 
9783659933462
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
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