A Maturity Model of Enterprise Business Intelligence

Tan, Chee-Sok; Sim, Yee Wai; Yeoh, William

doi:10.5171/2011.417812

Cited by 25 publications

(16 citation statements)

References 11 publications

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“…Para superar este obstáculo, generalmente se construye la bodega de datos corporativa. El objetivo es unir a los almacenes de datos regionales independientes para lograr una visión más coherente de información e informes sobre todos los aspectos de la empresa de negocios distribuida (Intellego, 2011 En 2011 se define un modelo más completo de madurez (Tan, Sim, & Yeoh, 2011). En este modelo matricial se definen 4 aspectos clave y cinco fases de evolución en cada aspecto, lo cual permite identificar diferentes niveles de madurez en una misma organización, ya que puede haber progresado más en un factor que en otro, como se aprecia en la Ilustración 3.…”

Section: Fases De Maduración De La Organización En Biunclassified

“…Otro componente muy importante es una política integral de gobierno de datos (Oliveira, 2012), (Tan et al, 2011).…”

Section: Implicaciones Desde La Arquitectura De Sistemasunclassified

“…Los autores que han trabajado el problema de la madurez del BI en una empresa enfatizan como un aspecto muy importante la calidad de la información (Tan et al, 2011), aunque otros estudios la consideran poco impactante (Ičik, Jones, & Sidorova, 2013). La trayectoria de muchos años capturando, estructurando y analizando la información antes de iniciar proyectos de BI es un factor relevante.…”

Section: Implicaciones Desde La Arquitectura De Sistemasunclassified

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Business Intelligence and Its Role in Organizational Agility

Calderón¹,

Rozo²,

Sandoval³

2017

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González C., Jorge L.; Palacios R., Jairo J.; Perea S., Julio A. (2017). La intelidencia de negocios y su rol en la agilidad organizacional. 239-258. ISSN 1900-0642 La inteligencia de negocios y su rol en la agilidad organizacional 241En cuanto a BI, se denota la evolución en los conceptos de madurez, técnicas y tecnologías analíticas, recursos implicados y su impacto estratégico. En tanto que sobre agilidad organizacional se abarcan la definición del concepto y los factores que la promueven, haciendo un especial énfasis en los factores comunes entre la AO y BI. Se encuentra una relación positiva en doble vía, es decir, la AO se ve favorecida con los proyectos de BI, pero a su vez las compañías ágiles tienen un mejor aprovechamiento de las bondades de la inteligencia de negocios. PALABRAS CLAVEAgilidad organizacional, factores críticos de éxito, inteligencia de negocios. CLASIFICACIÓN JEL M00, M10, M15, M19ABSTRACT Business Intelligence (BI) is one of the business tools on which competitive advantages of various world-class companies are based. Also in the highly competitive and changing global environment, the ability of an organization to detect changes, make decisions and to do a fast implementation, is the difference between grow or disappear; this attribute in an organization is named Organizational Agility (AO). In this paper, through the systematic review of the literature, the state of art of both fields (BI and AO) is established and in particular studies examining the relationship between the two. The research about this relation is beginning, and therefore is a field with much to explore. About BI, its evolution is denoted on the concepts of maturity, technical and analytical technologies. Referring to organizational agility, the concept is reviewed as such and factors that promote, with special emphasis on the factors for the couple of concepts. The conclusion is that a positive relationship is two-way, the AO is favored with BI projects in BI mature companies, and agile enterprises obtain better results of BI.

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Section: Fases De Maduración De La Organización En Biunclassified

“…Otro componente muy importante es una política integral de gobierno de datos (Oliveira, 2012), (Tan et al, 2011).…”

Section: Implicaciones Desde La Arquitectura De Sistemasunclassified

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Business Intelligence and Its Role in Organizational Agility

Calderón¹,

Rozo²,

Sandoval³

2017

crilib

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“…An Enterprise Business Intelligence Maturity (EBIM) model, proposed by Tan et al (Tan, Sim, Yeoh, 2011), comprises five stages. The first stage is initial, where no organized BI pattern exists.…”

Section: Analysis Of Existing Bi Maturity Modelsmentioning

confidence: 99%

The Relations of Maturity and Dimensions of Business Intelligence

Skyrius

2015

InSITE Conference

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Among developments in the field of business intelligence (BI), the notion of maturity has gained considerable interest for defining the directions to expected value, for summarizing the experience available, and for defining the possible avenues of BI development. There is considerable experience in creating and implementing BI systems, and many gaps separating the declared goals from the achieved results have been discovered. The time distance from the early stages of BI development allows more or less objective evaluation of these stages, while the current state of BI field is often controversial and ill-defined. A set of concepts called BI maturity models have been presented in the academic and professional sources, carrying basically the same mission -to evaluate the experience and extrapolate the future developments. The models, being more or less uniform in assessing the experience, are mostly different in their attitudes towards current state and especially the future (mature) developments of BI, creating controversy in the expectations regarding the future value of BI. The goal of this paper is to define the controversial elements in the existing maturity models, and to suggest a different position on the concept of business intelligence maturity, using most common dimensions of BI features to evaluate maturity expectations.

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“…One of the studies implementing BI to assist decision making in Healthcare proposes three key areas for development: Quality of patient care, quality of information system and improved financial controls. Hospitals can adopt BI systems to enhance the care quality, patient satisfaction and operational efficiency in terms of medical and business [30].…”

Section: Bi Framework In Healthcarementioning

confidence: 99%

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IJIPHM

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A Maturity Model of Enterprise Business Intelligence

Cited by 25 publications

References 11 publications

Business Intelligence and Its Role in Organizational Agility

Business Intelligence and Its Role in Organizational Agility

The Relations of Maturity and Dimensions of Business Intelligence

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