A Maturity Model for Implementation of Enterprise Business Intelligence Systems
In the era of data explosion, organizations highly focus on the systematic management of business information. Various BI models exist for this purpose but the reliability of those models is questionable due to less focus on technical aspects. The purpose
- PDF / 141,848 Bytes
- 10 Pages / 439.37 x 666.14 pts Page_size
- 83 Downloads / 266 Views
)
Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Kampar, Perak, Malaysia {chengwk,mobashar}@utar.edu.my
Abstract. In the era of data explosion, organizations highly focus on the system‐ atic management of business information. Various BI models exist for this purpose but the reliability of those models is questionable due to less focus on technical aspects. The purpose of this research is to build comprehensive and reliable Enterprise Business Intelligence Maturity (EBIM) model by using systematic and methodical design. This research investigated and explained prob‐ lems of existing BI models and solved them by using systematic process through Delphi technique. Three dimensions namely process, technology and organiza‐ tion were considered to develop a mature model. This research concluded that comprehensiveness and reliability of EBIM model enable BI organizations to better plan, assess, and manage their BI initiatives. Keywords: Business intelligence model · Process · Technology · Organization
1
Introduction
Organizations are becoming increasingly aware about the importance of information. This makes management of business information more proactive and systematic than before. Accurate and updated data are crucial for the survival of any organization in today’s environment. This is becoming complex every day because of the huge volume of data produced by organizations on daily basis. To deal with this issue, organizations need some sort of solution, which can help them in handling large volume of up-to-date data with accuracy. BI can provide solution to organizations for this problem. BI covers technologies, applications and processes for gathering, storing, accessing and analyzing data to make decisions [1]. BI allows users to gather data from various sources across the organization for various purposes like making processes efficient and better decision making. However, implementation of BI across organization requires lots of resources including financial resources which make it difficult for some organizations to imple‐ ment it. Even though, those organizations who have already implemented BI, many of them are unable to get full benefits [2, 3]. Quite a number of BI models exists but the reliability of those models is questionable [4, 5]. There are various reasons due to which the reliability of these models is ques‐ tionable like less or no focus on model evaluation, technical guidelines. Another problem with the existing models is that they focus more on specific clients [4] and at the same © Springer Science+Business Media Singapore 2018 K.J. Kim and N. Joukov (eds.), Mobile and Wireless Technologies 2017, Lecture Notes in Electrical Engineering 425, DOI 10.1007/978-981-10-5281-1_49
446
C.W. Khuen and M. Rehman
time focused on few concepts of BI. Based on these problems, it can be said that existing BI models are not mature and they lack comprehensiveness [6]. Therefore, this study will propose a more comprehensive BI model which will be suitable across various industrie
Data Loading...
