Critical success factors for business intelligence systems

The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success. The study followed a two-stage qualitative approach. Firstly, the authors utilised the Delphi method to conduct three rounds of studies. The study develops a CSFs framework crucial for BI systems implementation. Next, the framework and the associated CSFs are delineated through a series of case studies. The empirical findings substantiate the construct and applicability of the framework. More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results.<br /

Business Intelligence Implementation Success Framework: A Literature Review

In contemporary competitive business context, managers are increasingly using Business Intelligence (BI) as the technique and solution to improve their understanding of a business environment.  This paper introduces studies performed on the implementation of BI in SMEs between 2000 and 2015, and it is multi-purpose. First, it examines types of research questions addressed by studies of BI carried out in developing countries. Second, its purpose is to identify the gaps in the BI studies in these countries. Third, it aims to be a base for developing a framework for BI implementation success through the classification of the critical success factors (CSFs) found in the relevant literature. Due to this model, BI stakeholders can identify and understand the crucial factors behind the successful implementation of BI systems in SMEs. Keywords: business intelligence, small and medium-sized enterprises, literature review, critical success factors. DOI: 10.7176/EJBM/11-6-0

A Comparative Study of Critical Success Factors for General and Healthcare Business Intelligence Systems

Critical Success Factor (CSF) research provides a useful instrument for better managing a project and driving it to success. Research about CSFs for business intelligence (BI) systems and industry-specific CSFs have been noted; however, scant research has been conducted to investigate CSFs for healthcare BI projects. This paper adopted a mixed method approach to investigate differences between CSFs of BI systems in general and BI systems in the healthcare industry. We found that although CSFs of healthcare BI are similar to those of general BI, there is a significant overlap between CSFs for BI development and use. This finding supports the intertwined relationship between success of different BI project phases, which has yet been acknowledged in BI and IS success models

BI Systems Managers’ Perception of Critical Contextual Success Factors: A Delphi Study

The present article investigates critical contextual success factors (CCSFs) that influence business intelligence (BI) system success in terms of their relevance and controllability. The initial set of CCSFs is based on an analysis of existing literature and serves as the basis for further exploration of these factors. Advances to previous studies are the validation of possible CCSFs influencing BI system design by domain experts in a Delphi Study and the multi-dimensional view of these factors. A carefully selected expert panel investigated CCSFs not only with regard to the dimensions of relevance – which is typical for ranking-type Delphi studies – they also assessed each factor in the dimension of controllability. This two-dimensional approach allowed us to identify five distinct clusters of CCSFs that influence BI system success. This paper contributes to information systems (IS) research on critical success factors in general and provides the BI domain with specific insights. The results contribute to the BI success factor literature and can potentially be generalized to other IS. BI managers may use the results to assess their daily challenges in BI system development and maintenance projects

The Status of Business Intelligence in Small and Medium Size Enterprises in Norway

Business intelligence has the potential to bring new opportunities to organizations. Dashboards, various reporting options, visualizations techniques, end-user self-service and data warehousing are entering society at an alarming rate. There is a push from all angles to make society digital. To ensure BI is successful, it is important for organizations to determine the critical success factors beforehand. The purpose of this study is to investigate the CSFs and their associated contextual issues that impact the implementation of BI systems. In this study IT professionals in Norway has been surveyed to determine the current state in Norway.publishedVersio

Culture effects on business intelligence systems success

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceBusiness Intelligence (BI) enables users to quickly access real time information to support their decision-making processes. Recently it has become one of the principal tools used by corporations to analyze business data and turn it into actionable insights. This study identifies the effects that culture has on the main and essential drivers for the success of a BI system in an organization. This research combines two culture dimensions (innovation culture and data-driven culture), with the Delone & Mclean information systems success model, in order to evaluate BI success in the post-adoption stage. Based on a sample of 201 users, the results reveal that the usage, user satisfaction, and data-driven culture are important precedents of net benefits. Both use and user satisfaction have a significant relationship between each other, and information quality, system quality, service quality, and innovation culture positively affect user satisfaction. Previous research has focused mainly on the adoption of BI information systems. However, this study evaluates the effects of cultural dimensions on a BI system’s success in the post-adoption stage, while also identifying the critical success factors of this technology

Success Factors for Data Warehouse and Business Intelligence Systems

Data warehouse (DW) and business intelligence (BI) systems are among the most important IT-based systems in organizations. The decisions made using these systems can fundamentally affect an organization’s nature and performance. This paper reports the results of a case study that investigated the nature of DW/BI development. The theory lens used to frame and analyse the research was critical success factors (CSF). Ten CSF were identified from previous research on executive information systems, DW, and BI. This CSF set was used to analyse the failure of a corporate DW/BI project and the subsequent success of a smaller, functional BI system. To overcome previous criticism of the CSF approach, the CSF were analysed within the project’s organizational context and in terms of the dynamics of CSF over the life of the project. The case provides a number of lessons for organizations embarking on enterprise-scale DW/BI projects. The study shows that the augmented CSF approach is useful in understanding DW/BI development

An assessment of business intelligence in public hospitals

In this paper, DeLone and McLean\u27s information systems success model is empirically tested on 12 public hospitals in Denmark. The study aims to investigate the factors that contribute to business intelligence (BI) success. 1,352 BI end-users answered the questionnaire. A partial least square structural equation model was used to empirically test the model. We find that system quality is positively and significantly associated with use and user satisfaction, and that information quality is positively and significantly associated with user satisfaction. User satisfaction is positively and significantly related to individual impact. The other paths in the model are insignificant. Our findings also provide empirical support for the role of user satisfaction as a mechanism that mediates the relationship between information quality or system quality and individual impact. User satisfaction is not only a critical construct in the information systems success model but it also serves as a mediator. Generally, the model finds empirical support, as it has a good fit and predictive value

Interuniversitäres Doktorandenseminar Wirtschaftsinformatik unter Beteiligung der Universitäten Freiberg, Halle, Leipzig, Jena, Dresden und Chemnitz an der TU Bergakademie Freiberg; Dezember 2010

Die internationale Beachtung der Forschungsergebnisse in der Wirtschaftsinformatik hat in den letzten Jahren an Bedeutung gewonnen. Dabei wird dem kritischen Diskurs ein wachsender Stellenwert eingeräumt. Hier gilt es, den wissenschaftlichen Nachwuchs in der Konzeption und Durchführung der eigenen Forschung und den anzuwendenden Forschungsmethoden eine Lern- und Diskussionsplattform zu bieten, um sich der wissenschaftlichen Aussprache zum jeweiligen Gestaltungs- und Erkenntnisziel zu stellen. Um den Dialog zwischen Wirtschaftsinformatikern unterschiedlicher Schwerpunkte zu fördern, veranstalten die mitteldeutschen Wirtschaftsinformatikprofessuren der Universitäten Chemnitz, Dresden, Freiberg, Halle, Jena und Leipzig semesterweise eine Doktorandenkolloquium, um die wissenschaftliche Arbeit der Doktoranden kritisch zu begleiten und sie so in ihrer Entwicklung zu unterstützen. Dabei lassen sich im Programm der Freiberger Veranstaltung im Dezember 2010 zentrale Themen erkennen. Zum einen finden sich Facetten über Anwendungspotenziale der Business Intelligence als auch zum anderen Beiträge zur Definition und Einsatz von Services in Unternehmen. Ergänzend wird dies um Potenziale in der Softwarevisualisierung als auch durch einen Beitrag zur Erfolgsmessung von IT-Systemen. Wir freuen uns, Ihnen mit diesem Freiberger Arbeitspapier die Beiträge zur Verfügung stellen zu können, die traditionell in einem intensiven Austausch auf der Veranstaltung diskutiert werden, um so auch weitere Forschungsarbeiten anzuregen. -- The international recognition of research results in the scientific field of business information systems has increased in the recent years. Therefore the critical discourse on research topics has a growing emphasis. It is important to offer young scientists a platform for discussion and learning in a scientific debate about the respective scientific objective in the design and implementation of their own research and applied research methods. To promote dialogue between business information systems researchers of different focal points, the Middle German business information systems chairs from the Universities of Chemnitz, Dresden, Freiberg, Halle, Jena, and Leipzig organize a doctoral colloquium each semester to accompany the scientific work of young researches in a critical way in order to assist them in their development. The agenda shows the main topics of the event at the University of Freiberg in December 2010. Aspects related to potential applications of Business Intelligence as well as other contributions about the definition and usage of services in companies. This is in addition to the potentials of software visualization in the same way as analyzing success factors of IT systems. We are pleased to provide you the Freiberger working paper including the contributions of the participants that are traditionally discussed in an intense exchange at the meeting in order to stimulate further research.Business Intelligence,Entscheidungsunterstützung,Informationssysteme,Erfolgsfaktoren bei Informationssystemen,Softwarevisualisierung,SOA,Services,Business Intelligence,Decision Support,Information System,IS Success Factors,Software Visualization,SOA

Business intelligence in non–profit organisations: Role of business intelligence in portuguese non-profit organisations to support decision-making and strategic definition

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceNew ways of competing, innovating, and creating value for stakeholders have emerged in the past few years. Business Intelligence tools and systems proved to be a factor of differentiation when organisations aim to gain and sustain a competitive advantage. For-profit institutions are continually improving their Business Intelligence systems to create more complex analytical analyses and unveil hidden patterns. In parallel, Non-Profit organisations felt the need to measure the impact of their strategic social goals, improve their decision-making process and especially define long-term strategies based on reliable and consistent information. Having that in mind, Business Intelligence systems seemed the most reliable and dominant solution. Therefore, this study aims to generate a deeper understanding and knowledge of how Business Intelligence Systems impact Portuguese NPOs’ decision-making process and strategic definition. Adding to this, the study will also identify the critical success factors to deploy Business Intelligence Systems within these organisations. In order to reach these objectives, a qualitative study was conducted by interviewing 9 participants from strategic and decision-making positions within 8 Portuguese NPOs. With this, it was possible to acknowledge that Business Intelligence Systems revealed to be crucial for NPOs to measure their social impact and to design actions in a short and long-term period that can serve as support for their strategic goals. Besides this, these systems brought other benefits to NPOs as the opportunity of being more transparent, having standardised processes and be equipped with more tools for their fundraising efforts. Business Intelligence Systems as well empowered decision-makers and leaders with the ability to anticipate, transforming the decision-making process into a more proactive one.Novas formas de competição, inovação e de criação de valor para stakeholders têm vindo a emergir nos últimos anos. As ferramentas e sistemas de Business Intelligence provaram ser um fator de diferenciação quando as organizações procuram criar e manter a sua vantagem competitiva. Organizações com fins lucrativos usam constantemente os seus sistemas de Business Intelligence de forma a criar analises mais complexas e a revelar padrões que até agora eram desconhecidos. Em paralelo, organizações sem fins lucrativos começaram a sentir a necessidade e mensurar o impacto dos seus objetivos sociais estratégicos, melhorarem o seu processo de tomada de decisão e de especialmente definirem a sua estratégia de longo prazo com base em informação consistente e de confiança. Como tal, os sistemas de Business Intelligence parecem ser a solução mais fiável e dominante para estes objetivos. Com base neste contexto, este estudo tem como objetivo criar um entendimento e conhecimento mais aprofundado de como estes sistemas impactam os processos de tomada de decisão e de definição estratégica nas organizações sem fins lucrativos portuguesas. De forma a atingir os objetivos pressupostos, foi realizado um estudo qualitativo que contou com 9 participantes de posições de relevância estratégica e de tomada de decisão de 8 organizações sem fins lucrativos portuguesas. Com isto foi possível concluir que os sistemas de Business Intelligence revelaram ser cruciais para estas organizações mensurarem o seu impacto social e desenhar ações que pudessem num curto e longo prazo servir os objetivos sociais estratégicos. Além disso, estes sistemas trouxeram ainda benefícios permitindo assim que estas organizações se tornassem mais transparentes, conseguissem padronizar os seus processos e estarem equipadas com mais ferramentas para os seus esforços de angariação de fundos. Estes sistemas empoderaram ainda os líderes destas organizações com a capacidade de antecipação uma vez que o processo de tomada de decisão foi transformado num processo proactivo