Determinants of Usage Variations of Business Intelligence & Analytics in Organizations - An Empirical Analysis

While Business Intelligence & Analytics (BIA) applications are increasingly being adopted into business, significant variation exists in using them to empower business activities and there is limited empirical research examining the drivers of extensive usage of BIA in organizations. Building on TechnologicalOrganizational-Environmental framework, we present and empirically test a conceptual model of factors associated with the extent of BIA usage. We find that sophistication of data-related infrastructure in firms drives usage while data management challenges hamper the usage extent. Further, we find that large organizations have a higher propensity to use BIA in business functions while managerial challenges related to integration and talent management prevent extensive usage. Finally, we find that industry competitive intensity influences usage extent. Drawing on a large sample, this study highlights the antecedents of BIA usage and can help researchers and practitioners to understand what factors can enable firms to use BIA