2014/03/06 by Belle Selene Xia, Peng Gong · 1 citation
Business, Management and Accounting · Computer Science · Engineering · #Advanced Database Systems and Queries #Big Data and Business Intelligence #Business #Business intelligence #Competitive and Knowledge Intelligence #Computer science #Dimension (graph theory) #Empirical research #Engineering #Information system #Information technology consulting #Information technology management #Knowledge management #Management information systems #Marketing #Originality #Process management #Qualitative research #Quality (philosophy) #Sample (material) #Sociology #Strategic management #Value (mathematics)
paper · doi:10.1108/bij-08-2012-0050
openalex publication_date 2014/03/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/11
Purpose – The purpose of this paper is to explore the role of business intelligence (BI) in a consulting company. The authors propose to analyze quality through data analysis and efficiency under different business contexts. The best processes and tools in data mining are also explored. Design/methodology/approach – Management perspectives of data analysis from Florilla Consulting Company are collected using an inductive research approach. Based on a large sample of qualitative data, cost-and-benefit analysis is used to assess the BI technologies as a strategic necessity to Florilla Consulting Company. Findings – Findings classify the best processes and tools of data analysis under different business scenarios. The authors also propose a revised process and tools for Florilla Consulting Company to be further evaluated by future research. Practical implications – The insights offered in this paper derives authentic value for any consulting company that is interested to benefit from the opportunities bought by the BI technologies. Quality management also gets a new dimension when technology is integrated into business. Originality/value – This study has challenged the way quality is managed in Florilla Consulting Company. The connection of BI to quality management is explored via an empirical study of a consulting company by linking theory with practice.