An Empirical Study on the Business Intelligence (BI) Data Collection Strategy in the ICT-Based Startups in Bangladesh

Abstract

Business intelligence (BI) has now become a buzzword in this era of information and communication technology. Data is treated as the fuel for business intelligence. The motive of this paper is to examine the influence of the external antecedents on the selection of BI data collection strategies of the ICT-based startups in Bangladesh. This study developed and analyzed a theoretical model grounded on different external factors that influence the decision to implement two BI data collection strategies (comprehensive and issue-driven), along with one mediator that mediates the relationship between two external antecedents and issue-driven BI data collection. The snowball sampling was used to collect the survey data from experienced BI professionals working in different startups in Bangladesh. The results of the study showed that stakeholders’ satisfaction and system quality affect the choice of data collection strategy, whereas competitive pressure and institutional isomorphism have no effect on the choice of BI data collection strategy.