The General Characteristics of Business Intelligence – A Literature Review

2009 ◽  
Author(s):  
Claudia Mihaela Nicolau
Keyword(s):  
Literature Review ◽  
Business Intelligence

scholarly journals A first step towards service-dominant logic as a new approach to overcome challenges in business intelligence

2014 ◽  
Vol 17 (2) ◽  
pp. 220-231
Author(s):  
Pamela Clavier ◽  
Hugo Lotriet ◽  
Johan Van Loggerenberg
Keyword(s):  
Literature Review ◽  
South African ◽  
Business Intelligence ◽  
New Approach ◽  
High Expectations ◽  
Dominant Logic ◽  
Interpretive Case Study ◽  
Research Findings ◽  
Banking Institution

High expectations are set for Business Intelligence (BI), yet it fails to consistently deliver accordingly: there are numerous reports of BI challenges and failures. Existing approaches to address BI challenges are largely found to be ineffective, highlighting the need for a new approach. This paper examines how BI is perceived or understood and establishes that, firstly, BI is inherently grounded in Goods-Dominant (G-D) logic and secondly, that this can be linked to the challenges that are experienced within BI. A recommendation is made for a shift to Service-Dominant (S-D) logic as a new avenue of exploration to assist in overcoming BI’s prevailing challenges. Identifying the inherent G-D logic in BI provides the first step necessary in making this shift. Research findings are based on an interpretive case study of a South African Banking institution as well as a literature review.

Do Users Go Both Ways?

2010 ◽  
Vol 1 (3) ◽  
pp. 15-33
Author(s):  
Hamid Nemati ◽  
Brad Earle ◽  
Satya Arekapudi ◽  
Sanjay Mamani
Keyword(s):  
Literature Review ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Information Needs ◽  
Project Team ◽  
Market Place ◽  
Tool Selection ◽  
Road Map ◽  
Perceived Values ◽  
User Groups

A challenging task for a data warehouse team is identifying users by their information needs and skills, and then providing the BI (Business Intelligence) tools that support each group to do their job effectively and efficiently. Recent studies have shown that the BI market place is saturated with a bewildering array of capabilities, functions and software suites. The current lack of consistent interpretation of Business Intelligence has created some confusion in the market place. This paper defines a framework to identify different user groups in an organization and map their needs and requirements to the different functionalities offered by different BI tool vendors. Through literature review, clear definitions of users were created and a set of BI tools that identifies functional needs was established. From that information, a questionnaire was developed that probed for the relationships between user types, tools, functions and other perceived values. Responses from 154 professionals were then used to develop a road map for the data warehouse project team in BI tool selection.

scholarly journals Business intelligence in the cloud

2010 ◽  
Vol 12 (1) ◽  
Author(s):  
Willem J.J. Thompson ◽  
Jakobus S. Van der Walt
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Business Intelligence ◽  
Research Paper ◽  
Software As A Service ◽  
The Internet ◽  
Present Evidence ◽  
Processing Power ◽  
Business Resources

Cloud computing has become an important topic to research because of the value it can provide to the business. In this article, the researcher examined how Business Intelligence (BI) can be offered to the business over the Internet as a solution. BI environments, however, require a large capital layout to implement and support the large volumes of data that needs to be analysed to identify trends. It also requires enormous processing power which places pressure on the business resources. The goal of this article is to show how BI will be offered as a Software as a Service (SaaS) solution to the business. The BI SaaS solution will allow companies to reduce cost of having a BI solution and also having access to the latest software which will give the business an edge on their competition. By making use of a literature review the researcher were able gather and present evidence to support the value that the BI SaaS solution will add to the business and how such a BI SaaS solution will look like. As part of this research paper the researcher will also identify the challenges that the business will face when making us a BI SaaS solution.

scholarly journals Successful business intelligence implementation: a systematic literature review

2019 ◽  
Vol 11 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Nadeem Ali El-Adaileh ◽  
Scott Foster
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Business Intelligence ◽  
Empirical Studies ◽  
Deep Understanding ◽  
System Implementation ◽  
Content Type ◽  
The Future ◽  
Successful Business ◽  
Implementation Factors

Purpose The purpose of this paper is to present a systematic literature review to determine the factors that relate to successful business intelligence (BI) system implementation. Design/methodology/approach The study has a collection of literature that highlights potential references in relation to factors for system implementation in relation to BI. There is the employment of “content analysis”, given that the study purpose is the achievement of deep understanding of the variety of factors of implementation that other researchers have previously identified. Findings An initial investigation of 38 empirical studies on the implementation of BI led to ten factors being compiled. Difficulties in implementation were found to exist in relation to the operationalisation of large numbers of factors within organisations. The implementation factors were analysed and then sorted into a descending order based upon their frequency of occurrence. Research limitations/implications The research is limited to consider BI implementation factors. Moreover, literature is collected from selected databases and journals from 1998 to 2018. Practical implications Researchers of BI may, within the future, develop models for the measurement of the implementation level of BI within industries along with the sustaining of them. Moreover, work-based learning industries can benefit by adopting the results of this study for the effective implementation of BI. The implementation factors can be seen as key constructs upon which there may be the undertaking of more statistical analyses. Originality/value The original output from this research can help researchers’ in the future in enhancing identification of studies that are relevant for the review of literature for their research.

scholarly journals Key success factors to business intelligence solution implementation

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
José Manuel Villamarín García ◽  
Beatriz Helena Díaz Pinzón
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Business Intelligence ◽  
Success Factors ◽  
Organizational Outcomes ◽  
Decision Making Process ◽  
Research Results ◽  
Key Success Factors ◽  
Review Analysis ◽  
Improve Planning

Business intelligence (BI) solutions have been adopted within organizations as amean to achieve a more grounded decision making process that results in better organizational outcomes. Nowadays, about 70% to 80% of business intelligence implementation projects fail due to both technological and managerial issues. Multi-methodology proposed by Mingers (2006) was followed to develop the research in four phases: appreciation, where documental search wasconducted through a literature review; analysis, where hypothetical structures related with the key success factors were proposed; assessment, where key success factors were assessed along with experts; and action, where research results discussion was shown. As a result, 13 factors that affect the business intelligence solution’s success were identified. Those factors contributeto improve planning and implementation of business intelligence projects, accomplishing in a greater extent the purposes of these projects.

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