An Assessment of Portfolio Managers' Awareness of Big Data Analytics (BDA) Role in Achieving Portfolio Management (PFM) Success: A Qualitative Study
Abstract
As big data analytics become the most valuable resource held by all administrations, every huge organization will be investing in initiatives of big data in a succession of Portfolio Management at the next level (Grover et al., 2018). This research aims to study the extent to which portfolio managers are aware of the role of big data in the efficiency of portfolio management.This study includes a qualitative research method to assess portfolio managers' awareness of the role of big data analytics (BDA) in portfolio management success. The researcher followed a theoretical, descriptive approach. The researcher applied the onion analysis methods. The researcher surveyed many portfolio managers in several companies in the Kingdom of Saudi Arabia. Only portfolio managers were chosen because they are more concerned with achieving strategic goals than program and project managers. The researcher conducted a qualitative study by interviewing 38 company portfolio managers.The concept of BDA in this study contains four components (Volume – Veracity- velocity- variety). In this research, five main questions have been extracted to link big data analytics with portfolio management methodology as per PMI standard guidelines for managing business portfolios. The central themes and sub-themes have been extracted for conducting the interview.The results indicated that the portfolio managers' awareness of the (PMI) Portfolio Management (PFM) methodology is very high and compatible with the directions of the Kingdom of Saudi Arabia 2030. The researcher recommends future research to apply another quantitative study for a specific sector to investigate clear awareness regarding the value of using BDA in managing several portfolios.
Keywords: Big Data Analytics (BDA)- Portfolio Management (PFM)- Portfolio Decision Support (PDS).
DOI: 10.7176/EJBM/14-24-07
Publication date: December 31st 2022
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ISSN (Paper)2222-1905 ISSN (Online)2222-2839
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