A Model for Implementation of Intelligent Business Solutions on the Basis of the Level of BI Maturity: An Iranian experience - Núm. 34, Enero 2019 - Revista AD-minister - Libros y Revistas - VLEX 798249185

A Model for Implementation of Intelligent Business Solutions on the Basis of the Level of BI Maturity: An Iranian experience

AutorArash Ghashami - Mahmood Alborzi - Farzad Movahedi Sobhani - Reza Radfar
CargoCertified international business consultant - Artificial intelligence and machine learning researcher and instructor. He was finished his PhD on Artificial Neural Networks (ANN) in Brunel University - Fulltime professor in Science and Research branch, Islamic Azad University
Páginas149-165
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ABSTRACT
The purpose of this research is to provide a basis for choosing the approach to implementing business
intelligence systems based on the maturity of the organization.
This research not only recommends considering the level of business intelligence maturity while planning
for the implementation, but also recommends the use of IT governance levers in order to increase the
level of efficient usage of such systems.
In this research, while analyzing the subject by experts in the Delphi Fuzzy method, these ideas have
been reviewed and verified in nearly 109 organizations responding to the questionnaires. The result of
this research is a fuzzy inference engine that suggest the best execution package required, by entering
data on the size and maturity of the organization. Packages containing the appropriate implementation
methodology, products at that maturity level and, consequently, IT governance processes and
requirements to that level of maturity.
KEYWORDS
Business Intelligence Implementation, Business Intelligence Maturity, Information Technology
RESUMEN
El propósito de esta investigación es proporcionar una base para elegir el enfoque para implementar
sistemas de inteligencia de negocios basados en la madurez de la organización.Esta investigación
A Model for Implementation of Intelligent Business
Solutions on the Basis of the Level of BI Maturity: An
Iranian experience
Un modelo para la implementación de soluciones empresariales inteligentes con base en el nivel
de madurez en inteligencia de negocios: una experiencia iraní
ARASH GHASHAMI
MAHMOOD ALBORZI
FARZAD MOVAHEDI SOBHANI
REZA RADFAR
JEL: M, M, M
Received:
Modified:
Accepted:
DOI: 10.17230/ad-minister.34.8
www.eafit.edu.co/ad-minister
1 Certified international business consultant (CMC) and he has more than 20 years of practical
experience in the fields of management, IT, strategy making, business intelligence and IT project
and program management. This article is based on his PhD dissertation on IT Management. ORCID:
https://orcid.org/0000-0001-7503-9813. Email: arash.ghashami@gmail.com
2 Artificial intelligence and machine learning researcher and instructor. He was finished his PhD
on Artificial Neural Networks (ANN) in Brunel University in 1996 in UK. He was instructor and the
deputy of researches Tehran University of Oil and also in Science and Research branch, Islamic
Azad University. He wrote lots of reference books in Persian and had many experiences on business
consultancy in Iranian enterprises. Dr. Mahmood Alborzi was born in Iran. He graduated from Tehran
University in Operating Researches (PhD) in 1992, and MBA from Harvard University in 1974, and
General Engineering degree from Oil University of Iran in 1965. ORCID: https://orcid.org/0000-0001-
6619-992X. Email: mahmood_alborzi@yahoo.com
3 Fulltime professor in Science and Research branch, Islamic Azad University. He is graduated of
Industrial Engineering at all levels of Bachelor in 1992, MSc in 1995 and PhD in 2005 from Tarbiat
Modarres University.
ORCID: https://orcid.org/0000-0002-4602-2710 Email: farzad1348@yahoo.com
4 Professor of Management and systems in Science and Research branch, Islamic Azad University. He
finished his PhD in Industrial Management in 2004. He is a fulltime professor and a business consultant
for Iranian enterprises. He is also reviewer in some journal like International Journal of Information,
Security and System Management and International Journal of Productivity and Performance
Management. ORCID: https://orcid.org/0000-0002-2535-4521. Email: radfar@gmail.com
AD-minister Nº. 34 january - june 2019 pp. 149 - 165 · ISSN 1692-0279 · eISSN 2256-4322
150
AD-MINISTER
Arash Ghashami · Mahmood Alborzi · Farzad Movahedi Sobhani · Reza Radfar
A Model for Implementation of Intelligent Business Solutions on the Basis of the Level of BI Maturity: An Iranian experience
no solo recomienda considerar el nivel de madurez de la inteligencia de negocios a momento de planear la
implementación, sino también el uso de instrumentos de política pública de tecnologías de la información (TI)
para aumentar el nivel del uso eficiente de dichos sistemas. En esta investigación, al analizar el tema por
expertos en el método Delphi Fuzzy, estas ideas han sido revisadas y verificadas en casi 109 organizaciones que
respondieron a los cuestionarios. El resultado de esta investigación es un motor de inferencia difusa que sugiere
el mejor paquete de ejecución requerido, al ingresar datos sobre el tamaño y la madurez de la organización. Los
paquetes que contienen la metodología de implementación adecuada, los productos en ese nivel de madurez y,
en consecuencia, los procesos y requisitos de gobierno de TI a ese nivel de madurez.
PALABRAS CLAVE
Implementación de inteligencia de negocios, madurez de la inteligencia de negocios, tecnologías de la
información
INTRODUCTION
Presenting a model in order to select the most appropriate method for implementing
intelligent business solutions in organizations with dierent dimensions and maturity
is the basic idea in this research. Basically, business intelligence can only be valuable
when properly employed by organizations. There is a relationship between the
optimal use of business intelligence, the performance and features of organizations.
better access to data has no eect on a company’s performance, though the quality of
using data by the company has a direct eect on their performance.
Whatever are the features of intelligent business solutions in the organization,
they should be tailored to the organization’s readiness in employing the solutions.
The research hopes to increase the positive eects of employing the intelligent
business solutions in the organization and reduce the failure of such projects in
line with increasing the proportionality of selecting the methods for implementing
intelligent business solutions through conceptualizing and presenting a fuzzy
model between the organization’s characteristics and the expected benefits of
intelligent business solutions.
Presenting a model in order to select the best method for implementing intelligent
business projects in organizations tailored to the maturity and readiness of those
organizations constitutes the main idea in this research. The present research comes
in two quite distinct, sequential sections. The former deals with presenting a model
to select the implementation method of intelligent business systems based on the
organizational maturity, and the latter tests the model and presents the test results.
This is an applied research in terms of purpose and is considered a field research
in terms of situation. It is a retrospective study in terms of time and is based on the
past data of the organizations surveyed and it is a survey (contextual) research in
terms of research method.
The model is proposed by investigating the problems and implementation issues
of the projects for the deployment of intelligent business systems in the companies
in the country, and developing idea of how to prevent or solve these problems and

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