Business Intelligence in Construction: A Review

Business Intelligence (BI) has been viewed as sets of powerful tools and approaches to improving business executive decision-making, business operations, and increasing the value of the enterprise. This literature review presents the development of business Intelligence in recent years. Architecture, technologies, performance evaluation and applications four aspects are discussed to illustrate the BI used technology and the future trend. It presents how to improve the BI efficiency and what method is adopted for enterprise to solve the problems which they encounter.

[1]  Sang-Chan Park,et al.  Intelligent profitable customers segmentation system based on business intelligence tools , 2005, Expert Syst. Appl..

[2]  Xindong Wu,et al.  Support vector machines based on K-means clustering for real-time business intelligence systems , 2005, Int. J. Bus. Intell. Data Min..

[3]  Ricardo J. Rabelo,et al.  Business Intelligence Support for Supply Chain Management , 2002, BASYS.

[4]  Zhongzhi Shi,et al.  Techniques, Process, and Enterprise Solutions of Business Intelligence , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[5]  Chen Guo-qing.  An XML-Based General-Purpose Application Model for Association Rule Mining , 2005 .

[6]  Hans-Georg Kemper,et al.  Combining RFID Technology and Business Intelligence for Supply Chain  Optimization Scenarios for Retail Logistics , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[7]  Kamel Rouibah,et al.  PUZZLE: a concept and prototype for linking business intelligence to business strategy , 2002, J. Strateg. Inf. Syst..

[8]  John Railton,et al.  Banking and finance , 1986, Comput. Law Secur. Rev..

[9]  Gilbert A. Churchill.  A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[10]  Kalina Bontcheva,et al.  Natural Language Technology for Information Integration in Business Intelligence , 2007, BIS.

[11]  Bunjong Piyatamrong,et al.  Business Intelligence in Thailand's Higher Educational Resources Management , 2010 .

[12]  Hilary Cheng,et al.  An ontology-based business intelligence application in a financial knowledge management system , 2009, Expert Syst. Appl..

[13]  Barbara Wixom,et al.  Continental Airlines Flies High with Real-Time Business Intelligence , 2004, MIS Q. Executive.

[14]  Su Qing-hui.  Research on the information management in the commercial intelligence system , 2007 .

[15]  Yvan Bédard,et al.  SOLAP technology: Merging business intelligence with geospatial technology for interactive spatio-temporal exploration and analysis of data , 2005 .

[16]  Georg Gottlob,et al.  Web Data Extraction for Business Intelligence: The Lixto Approach , 2005, BTW.

[17]  Celina M. Olszak,et al.  Interdisciplinary Journal of Information, Knowledge, and Management Approach to Building and Implementing Business Intelligence Systems , 2022 .

[18]  Shourya Roy,et al.  Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry , 2008, KDD.

[19]  Michael J. A. Berry,et al.  Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management , 2004 .

[20]  Ton A. M. Spil,et al.  Business intelligence in healthcare organizations , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[21]  Kalina Bontcheva,et al.  Ontology-Based Information Extraction for Business Intelligence , 2007, ISWC/ASWC.

[22]  Andrew Kusiak,et al.  Computer Integrated Manufacturing: A Data Mining Approach , 2004 .

[23]  Jia-Lang Seng,et al.  A generic construct based workload model for business intelligence benchmark , 2011, Expert Syst. Appl..

[24]  C.J.H. Mann,et al.  Handbook of Data Mining and Knowledge Discovery , 2004 .

[25]  Li Liu,et al.  Ontology Services-Based Information Integration in Mining Telecom Business Intelligence , 2004, PRICAI.

[26]  Chengqi Zhang,et al.  Integration of Business Intelligence Based on Three-Level Ontology Services , 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

[27]  Michael J. Davern,et al.  Measuring the effects of business intelligence systems: The relationship between business process and organizational performance , 2008, Int. J. Account. Inf. Syst..

[28]  Xiaohua Hu,et al.  An OLAM framework for Web usage mining and business intelligence reporting , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[29]  A. K. Pujari,et al.  Data Mining Techniques , 2006 .

[30]  Ming-Kuen Chen,et al.  The use of a hybrid fuzzy-Delphi-AHP approach to develop global business intelligence for information service firms , 2010, Expert Syst. Appl..

[31]  Josef Schiefer,et al.  Enhanced business intelligence - supporting business processes with real-time business analytics , 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

[32]  Henry C. W. Lau,et al.  Design and development of agent-based procurement system to enhance business intelligence , 2009, Expert Syst. Appl..

[33]  Dieter Fensel,et al.  Conclusions: Ontology‐driven Knowledge Management – Towards the Semantic Web? , 2003 .

[34]  Celina M. Olszak,et al.  Approach to Building and Implementing Business Intelligence Systems , 2007 .

[35]  Ajith Abraham,et al.  Business Intelligence from Web Usage Mining , 2003, J. Inf. Knowl. Manag..

[36]  Alexander Mikroyannidis,et al.  Ontology management and evolution for business intelligence , 2010, Int. J. Inf. Manag..

[37]  Chih-Hung Tsai,et al.  Research on using ANP to establish a performance assessment model for business intelligence systems , 2009, Expert Syst. Appl..

[38]  Kun-Lin Hsieh,et al.  Employing a recommendation expert system based on mental accounting and artificial neural networks into mining business intelligence for study abroad's P/S recommendations , 2011, Expert Syst. Appl..

[39]  Chengqi Zhang,et al.  Ontology-based integration of business intelligence , 2006, Web Intell. Agent Syst..

[40]  Dieter Fensel,et al.  Towards the Semantic Web: Ontology-driven Knowledge Management , 2002 .

[41]  Hsinchun Chen,et al.  The World Wide Web Presents Significant Opportunities Redips: Backlink Search and Analysis on the Web for Business Intelligence Analysis , 2006 .

[42]  Yoichi Hayashi,et al.  Understanding consumer heterogeneity: A business intelligence application of neural networks , 2010, Knowl. Based Syst..

[43]  Eric K. Ringger,et al.  Pulse: Mining Customer Opinions from Free Text , 2005, IDA.

[44]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[45]  Detlef D. Nauck,et al.  Real Time Business Intelligence for the Adaptive Enterprise , 2006, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06).

[46]  Frank S. C. Tseng,et al.  The concept of document warehousing for multi-dimensional modeling of textual-based business intelligence , 2006, Decis. Support Syst..

[47]  Hans-Georg Kemper,et al.  Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework , 2008, Inf. Syst. Manag..