Browsing by Author "Budree, Adheesh"

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    A Conceptual Model for determining the Value of Business Intelligence Systems
    (University of the Western Cape, 2014) Budree, Adheesh; Fourie, Louis CH.
    Business Intelligence refers to the use of Information Systems to enable raw data to be collated into information that can be reported, with the end goal of using this information to enhance the business decision-making process. Business Intelligence is enabled by making use of information that is complete, relevant, accurate, timely and accessible. There are currently a number of documented perspectives that can be used to gauge the value of Business Intelligence systems; however, from an overall business value perspective the most robust method would be to identify and analyse the most commonly identified factors that impact the value assigned to Business Intelligence Systems by a company, and the correlation of each of these factors to calculate the overall value. The importance of deriving a conceptual model, representing the major factors identified from literature and moderated by the quantitative research conducted, lies in its enabling companies and government bodies to assess the true value addition of Business Intelligence systems, and to understand the return on investment of these systems for organisations. In doing so, companies can justify or reject any further expenditure on Business Intelligence. The quantitative research for this thesis was conducted together with a project that was run between the University of the Western Cape and the Hochschule Neu-Ulm University of Applied Sciences in Germany. The research was conducted simultaneously across organisations in South Africa and Germany on the use of BI Systems and Corporate Performance Management. The respondents for the research were Chief Executive Officers, Chief Information Officers and Business Intelligence Managers in selected organisations. A Direct Oblimin-factor analysis was conducted on the online survey responses. The survey was conducted on a sample of approximately 1500 Business Intelligence specialists across South Africa and Germany; and 113 responses were gathered. The factor analysis reduced the key factors identified in the literature to a few major factors, namely: Information Quality, Management and Accessibility, Information Usage, and Knowledge-sharing Culture. Thereafter, a Structural-Equation-Modelling analysis was completed using the Partial-least-Squares method. The results indicate that there is a strong relationship between the factor-Information Quality, Management and Accessibility, and the Value of Business Intelligence. It was found that while there was no strong impact from Information Usage and Culture, there was a strong correlation between Information Usage and Culture and Information Quality, Management and Accessibility The research findings are significant for academic researchers, information technology experts, Business Intelligence specialists and Business Intelligence users. This study contributes to the body of knowledge by bringing together disparate factors that have been identified in academic journals; and assessing the relationship each has on the value of Business Intelligence, as well as the correlations that exist between these factors. From this, the final conceptual model was derived using factors that were identified and tested through the Factor Analysis and the PLS-SEM. The following conclusions can be drawn from the research: (1) The assurance of quality information in the form of complete, accurate, relevant and timeous information that is efficiently managed is the most paramount factor to an organisation deriving value from Business Intelligence systems; (2) information accessibility is key, in order to realise the value of Business Intelligence systems in organisations; and (3) Business Intelligence systems cannot add value to an organisation if a culture of information use and sharing is absent within that organisation. The derived model can be practically implemented as a checklist for organisations to assess Business Intelligence system investments as well as current implementations
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    A Conceptual Model for determining the Value of Business Intelligence Systems
    (University of the Western Cape, 2014) Budree, Adheesh; Fourie, Louis CH.
    Business Intelligence refers to the use of Information Systems to enable raw data to be collated into information that can be reported, with the end goal of using this information to enhance the business decision-making process. Business Intelligence is enabled by making use of information that is complete, relevant, accurate, timely and accessible. There are currently a number of documented perspectives that can be used to gauge the value of Business Intelligence systems; however, from an overall business value perspective the most robust method would be to identify and analyse the most commonly identified factors that impact the value assigned to Business Intelligence Systems by a company, and the correlation of each of these factors to calculate the overall value. The importance of deriving a conceptual model, representing the major factors identified from literature and moderated by the quantitative research conducted, lies in its enabling companies and government bodies to assess the true value addition of Business Intelligence systems, and to understand the return on investment of these systems for organisations. In doing so, companies can justify or reject any further expenditure on Business Intelligence. The quantitative research for this thesis was conducted together with a project that was run between the University of the Western Cape and the Hochschule Neu-Ulm University of Applied Sciences in Germany. The research was conducted simultaneously across organisations in South Africa and Germany on the use of BI Systems and Corporate Performance Management. The respondents for the research were Chief Executive Officers, Chief Information Officers and Business Intelligence Managers in selected organisations. A Direct Oblimin-factor analysis was conducted on the online survey responses. The survey was conducted on a sample of approximately 1500 Business Intelligence specialists across South Africa and Germany; and 113 responses were gathered. The factor analysis reduced the key factors identified in the literature to a few major factors, namely: Information Quality, Management and Accessibility, Information Usage, and Knowledge-sharing Culture. Thereafter, a Structural-Equation-Modelling analysis was completed using the Partial-least-Squares method. The results indicate that there is a strong relationship between the factor-Information Quality, Management and Accessibility, and the Value of Business Intelligence. It was found that while there was no strong impact from Information Usage and Culture, there was a strong correlation between Information Usage and Culture and Information Quality, Management and Accessibility The research findings are significant for academic researchers, information technology experts, Business Intelligence specialists and Business Intelligence users. This study contributes to the body of knowledge by bringing together disparate factors that have been identified in academic journals; and assessing the relationship each has on the value of Business Intelligence, as well as the correlations that exist between these factors. From this, the final conceptual model was derived using factors that were identified and tested through the Factor Analysis and the PLS-SEM. The following conclusions can be drawn from the research: (1) The assurance of quality information in the form of complete, accurate, relevant and timeous information that is efficiently managed is the most paramount factor to an organisation deriving value from Business Intelligence systems; (2) information accessibility is key, in order to realise the value of Business Intelligence systems in organisations; and (3) Business Intelligence systems cannot add value to an organisation if a culture of information use and sharing is absent within that organisation. The derived model can be practically implemented as a checklist for organisations to assess Business Intelligence system investments as well as current implementations
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    Implementing free Wi-Fi in underprivileged communities: A case study of Project Isizwe
    (IEEE, 2017) Budree, Adheesh; Chacko, Sheril; Fourie, Louis
    A key tool in the fight against poverty and bridging the gap between privileged and underprivileged is access to information. Free Internet connectivity is central to providing this access. This research paper focuses on the implementation of free Wi-Fi within selected underprivileged areas of South Africa through Project Isizwe, which is based on the belief that every citizen of South Africa regardless of their socio-economic conditions has the right to have good quality, affordable Internet access. With a combination of studying current available literature and analysing Project Isizwe as a case study, factors were deduced for future successful implementation of free Wi-Fi and access to information in underprivileged communities.
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    Technical capabilities of business intelligence systems in South African medium to large organisations
    (University of the Western Cape, 2017) Mangwayana, Tatenda B; Budree, Adheesh
    Companies are putting in place systems that might assist in attaining their business goals and vision to improve the running of their business processes. Companies are looking at Business Intelligence (BI) as a means to attain a competitive edge over competitors, predict future trends, improve strategic decision making, facilitate quick and reliable decision making, or make the day-to-day running of business easier. The study looks at the perspective of middle to top management on the context of BI, with main focus on the technical capabilities of BI within medium to large companies in South Africa. To obtain factors relevant to the South African business context, an online survey was conducted with various sectors of South African industry. The study is part of research conducted collaboratively by the University of the Western Cape and Neu-Ulm University of Applied Sciences in Germany. It focuses on exploring usage of Business Intelligence Systems (BIS) together with Corporate Performance. Online surveys were conducted that targeted medium to large companies in Germany and South Africa by questioning middle to top management on issues surrounding BIS and Corporate Performance. On this basis online survey approach was taken to ensure required number of participants would be covered and approached. Therefore, the research adopted stratified sample method for the online survey. Stratified sampling enabled the expansion of the research by gathering and collaborating participants responses on the research question and eliminate the possibilities of unreliable sample from large population.
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    Technical capabilities of Business Intelligence systems in South African medium to large organisations
    (University of the Western Cape, 2017) Mangwayana, Tatenda Blessing; Budree, Adheesh
    Companies are putting in place systems that might assist in attaining their business goals and vision to improve the running of their business processes. Companies are looking at Business Intelligence (BI) as a means to attain a competitive edge over competitors, predict future trends, improve strategic decision making, facilitate quick and reliable decision making, or make the day-to-day running of business easier. The study looks at the perspective of middle to top management on the context of BI, with main focus on the technical capabilities of BI within medium to large companies in South Africa. To obtain factors relevant to the South African business context, an online survey was conducted with various sectors of South African industry. The study is part of research conducted collaboratively by the University of the Western Cape and Neu-Ulm University of Applied Sciences in Germany. It focuses on exploring usage of Business Intelligence Systems (BIS) together with Corporate Performance. Online surveys were conducted that targeted medium to large companies in Germany and South Africa by questioning middle to top management on issues surrounding BIS and Corporate Performance. On this basis online survey approach was taken to ensure required number of participants would be covered and approached. Therefore, the research adopted stratified sample method for the online survey. Stratified sampling enabled the expansion of the research by gathering and collaborating participants responses on the research question and eliminate the possibilities of unreliable sample from large population.