Measuring the impact of data warehouse and business intelligence on enterprise performance in Peru: A developing country

Abstract

The purpose of this research is to assess the impact of data warehouse and business intelligence on the business performance of enterprises in developing regions such as Peru. Two models were developed; the qualitative exploratory model employed 23 interviews from several business sectors that use data warehouse and business intelligence. This model was exploratory in nature and helped to identify specific factors relevant to data warehouse and business intelligence in developing countries. The quantitative model examined 110 survey responses from different business sectors that use data warehouse and business intelligence. The DeLone and McLean model from 2003 was applied to test the fit of a structural equation model. Through this model, several hypotheses were tested. Thereafter, insights were combined from a review of the literature and from qualitative and quantitative analysis to consider the extension of additional constructs relevant to studies of data warehouse and business intelligence in developing economies. The additional constructs include: financial investment, alignment between the business intelligence project and business, and technology and specific skills. Implications for the study of advanced technologies in developing regions are considered. © 2015 Rolando Gonzales, Jonathan Wareham, and Jaime Serida.