Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
E-business: roadmap for success
E-business: roadmap for success
Building the Data Warehouse,3rd Edition
Building the Data Warehouse,3rd Edition
A case of data warehousing project management
Information and Management
Features to consider in a data warehousing system
Communications of the ACM - Blueprint for the future of high-performance networking
A fuzzy-based decision-making procedure for data warehouse system selection
Expert Systems with Applications: An International Journal
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The deployment of business intelligence (BI) involves complex processes of data reconfiguration and resource alignment. This study investigated whether the issues of data environment and profitability affect BI implementation for the manufacturers that have already adopted enterprise resource planning systems. We individually considered the factors of data warehousing, online analytical processing (OLAP), and data mining for the data environment, while return on assets, return on sales, and return on investment were transformed into a single component of profitability using principal component analysis. Through logistic regression, we determined that OLAP and data warehousing play important roles in the adoption of BI; however, data mining and profitability indicated no such influence.