Review of business intelligence through data analysis

Belle Selene Xia, Peng Gong

Research output: Contribution to journalArticleScientificpeer-review

25 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)300-311
Number of pages12
JournalBenchmarking
Volume21
Issue number2
DOIs
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed

Keywords

  • Benchmarking
  • Business intelligence
  • Corporate strategy
  • Critical success factors
  • Data analysis
  • Data mining
  • OLAP
  • Performance management
  • Quality management

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