Expert Review on Big Data Analytics Implementation Model in Data-driven Decision-Making

Abstract

Data-driven decision-making can offer improved insights for information value and create new business opportunity. The purpose of this paper is to present the findings of expert opinion in verifying the influencing factors in big data analytics (BDA) implementation that are beneficial in developing the BDA implementation assessment model. The study was carried out by conducting face-to-face approach sessions with three academicians and four industry experts who have vast experience in big data research and its implementation. The findings from these exercises has confirmed and verified the content of the ten factors that include organization dimension (such as big data strategy, top management support, resource commitment, organizational relationship), people dimension (such as analytics skills, managerial skills and analytics culture) and technology dimension (includes data infrastructures, information processing and quality) were appropriate for the research model. It was described using descriptive analysis such as frequency, mean and standard deviation. Once the verification process is complete, the research model will be validated through survey in the future work.

Data Centers in the Kingdom of Saudi Arabia and their Role in Big Data Processing for Decision Support

“…The authors argue that data specialists enjoy competencies and good traits important for big data analysis for decision support. These results agree with Adrian et al (2018) and Teague and Legeros (2014) concerning the investigation of the new roles and competencies of data specialists in institutions based on having capable human cadres with good skills. The authors stress the need for training these cadres in the effective management of big data.…”

“…These findings agree with Abd-Aal (2017) that stressed the importance of data in making sound decisions. They match the results of Persuad (2020) and Adrian et al (2018) that highlighted the importance of qualifying data specialists in data centers to analyze data in the center.…”

“…The results showed that technological factors (perceived benefits, complexity, technology resources, big data quality, and integration) were ranked first regarding big data adoption and company performance. Adrian et al (2018) introduced the results of expert opinion in verifying the factors influencing the implementation of big data analytics (BDA) to develop a BDA implementation evaluation model. The results reported the ten factors affecting big data, including the organizational domain (e.g., big data strategy, senior management support, commitment to resources, and organizational relationship), the people-related domain (e.g., analysis skills, management skills, and analysis culture), and the technology domain (including data infrastructure, information analysis, and quality).…”

The authors have requested that this preprint be removed from Research Square.

“…The authors argue that data specialists enjoy competencies and good traits that are important for big data analysis for decision support. These results agree with Adrian et al [44] and Teague and Legeros [55] concerning the investigation of the new roles and competencies of data specialists in institutions based on having capable human cadres with good skills. The authors stress the need for training these cadres in the effective management of big data.…”

“…These ndings agree with Abd-Aal [47] that stressed the importance of data in making sound decisions. They match the results of Persuad [57] and Adrian et al [44] that highlighted the importance of qualifying data specialists in data centers to analyze data in the center.…”