Data virtualization design model for near real time decision making in business intelligence environment

Data virtualization design model for near real time decision making in business intelligence environment

The main purpose of Business Intelligence (BI) is to focus on supporting an organization‘s strategic, operational and tactical decisions by providing comprehensive, accurate and vivid data to the decision makers. A data warehouse (DW), which is considered as the input for decision making system acti...

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Main Author: Albadri, Ayad Hameed Mousa
Format: Thesis
Language:eng
eng
eng
Published: 2017
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T58.6-58.62 Management information systems
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record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
eng
advisor Shiratuddin, Norshuhada
Abu Bakar, Muhamad Shahbani
topic T58.6-58.62 Management information systems
T58.6-58.62 Management information systems
spellingShingle T58.6-58.62 Management information systems
T58.6-58.62 Management information systems
Albadri, Ayad Hameed Mousa
Data virtualization design model for near real time decision making in business intelligence environment
description The main purpose of Business Intelligence (BI) is to focus on supporting an organization‘s strategic, operational and tactical decisions by providing comprehensive, accurate and vivid data to the decision makers. A data warehouse (DW), which is considered as the input for decision making system activities is created through a complex process known as Extract, Transform and Load (ETL). ETL operates at pre-defined times and requires time to process and transfer data. However, providing near real time information to facilitate the data integration in supporting decision making process is a known issue. Inaccessibility to near realtime information could be overcome with Data Virtualization (DV) as it provides unified, abstracted, near real time, and encapsulated view of information for querying. Nevertheless, currently, there are lack of studies on the BI model for developing and managing data in virtual manner that can fulfil the organization needs. Therefore, the main aim of this study is to propose a DV model for near-real time decision making in BI environment. Design science research methodology was adopted to accomplish the research objectives. As a result of this study, a model called Data Virtualization Development Model (DVDeM) is proposed that addresses the phases and components which affect the BI environment. To validate the model, expert reviews and focus group discussions were conducted. A prototype based on the proposed model was also developed, and then implemented in two case studies. Also, an instrument was developed to measure the usability of the prototype in providing near real time data. In total, 60 participants were involved and the findings indicated that 93% of the participants agreed that the DVDeM based prototype was able to provide near real-time data for supporting decision-making process. From the studies, the findings also showed that the majority of the participants (more than 90%) in both of education and business sectors, have affirmed the workability of the DVDeM and the usability of the prototype in particular able to deliver near real-time decision-making data. Findings also indicate theoretical and practical contributions for developers to develop efficient BI applications using DV technique. Also, the mean values for each measurement item are greater than 4 indicating that the respondents agreed with the statement for each measurement item. Meanwhile, it was found that the mean scores for overall usability attributes of DVDeM design model fall under "High" or "Fairly High". Therefore, the results show sufficient indications that by adopting DVDeM model in developing a system, the usability of the produced system is perceived by the majority of respondents as high and is able to support near real time decision making data.
format Thesis
qualification_name Ph.D.
qualification_level Doctorate
author Albadri, Ayad Hameed Mousa
author_facet Albadri, Ayad Hameed Mousa
author_sort Albadri, Ayad Hameed Mousa
title Data virtualization design model for near real time decision making in business intelligence environment
title_short Data virtualization design model for near real time decision making in business intelligence environment
title_full Data virtualization design model for near real time decision making in business intelligence environment
title_fullStr Data virtualization design model for near real time decision making in business intelligence environment
title_full_unstemmed Data virtualization design model for near real time decision making in business intelligence environment
title_sort data virtualization design model for near real time decision making in business intelligence environment
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2017
url https://etd.uum.edu.my/6903/1/DepositPermission_s94183.pdf
https://etd.uum.edu.my/6903/2/s94183_01.pdf
https://etd.uum.edu.my/6903/3/s94183_02.pdf
_version_ 1747828126056972288
spelling my-uum-etd.69032021-08-18T01:33:31Z Data virtualization design model for near real time decision making in business intelligence environment 2017 Albadri, Ayad Hameed Mousa Shiratuddin, Norshuhada Abu Bakar, Muhamad Shahbani Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences T58.6-58.62 Management information systems QA75 Electronic computers. Computer science The main purpose of Business Intelligence (BI) is to focus on supporting an organization‘s strategic, operational and tactical decisions by providing comprehensive, accurate and vivid data to the decision makers. A data warehouse (DW), which is considered as the input for decision making system activities is created through a complex process known as Extract, Transform and Load (ETL). ETL operates at pre-defined times and requires time to process and transfer data. However, providing near real time information to facilitate the data integration in supporting decision making process is a known issue. Inaccessibility to near realtime information could be overcome with Data Virtualization (DV) as it provides unified, abstracted, near real time, and encapsulated view of information for querying. Nevertheless, currently, there are lack of studies on the BI model for developing and managing data in virtual manner that can fulfil the organization needs. Therefore, the main aim of this study is to propose a DV model for near-real time decision making in BI environment. Design science research methodology was adopted to accomplish the research objectives. As a result of this study, a model called Data Virtualization Development Model (DVDeM) is proposed that addresses the phases and components which affect the BI environment. To validate the model, expert reviews and focus group discussions were conducted. A prototype based on the proposed model was also developed, and then implemented in two case studies. Also, an instrument was developed to measure the usability of the prototype in providing near real time data. In total, 60 participants were involved and the findings indicated that 93% of the participants agreed that the DVDeM based prototype was able to provide near real-time data for supporting decision-making process. From the studies, the findings also showed that the majority of the participants (more than 90%) in both of education and business sectors, have affirmed the workability of the DVDeM and the usability of the prototype in particular able to deliver near real-time decision-making data. Findings also indicate theoretical and practical contributions for developers to develop efficient BI applications using DV technique. Also, the mean values for each measurement item are greater than 4 indicating that the respondents agreed with the statement for each measurement item. Meanwhile, it was found that the mean scores for overall usability attributes of DVDeM design model fall under "High" or "Fairly High". Therefore, the results show sufficient indications that by adopting DVDeM model in developing a system, the usability of the produced system is perceived by the majority of respondents as high and is able to support near real time decision making data. 2017 Thesis https://etd.uum.edu.my/6903/ https://etd.uum.edu.my/6903/1/DepositPermission_s94183.pdf text eng public https://etd.uum.edu.my/6903/2/s94183_01.pdf text eng public https://etd.uum.edu.my/6903/3/s94183_02.pdf text eng public Ph.D. doctoral Universiti Utara Malaysia Abdullah, M. F., & Ahmad, K. (2015). Business intelligence model for unstructured data management. Paper presented at the The International Conference on Electrical Engineering and Informatics (ICEEI). Aguilar, E. R., Ruiz, F., García, F., & Piattini, M. (2006). Evaluation measures for business process models. 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