Skip to main content
SpringerLink
Log in

Business intelligence in enterprise computing environment

  • Published:
Information Technology and Management Aims and scope Submit manuscript

Abstract

Business intelligence (BI) is the process of gathering correct information in the correct format at the correct time; and delivering the results for decision-making purposes, or have a positive impact on business operations, tactics, and strategy in the enterprises. This paper is intended as a brief review of BI in an enterprise computing environment, with an emphasis on the algorithms and methods. The review points out the challenges to the broad and deep deployment of business intelligence systems, and provide proposals to make business intelligence more effective.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Abbasi A, Chen H (2009) A comparison of fraud cues and classification methods for fake escrow website detection. Inf Technol Manage 10(2–3):83–101

    Article  Google Scholar 

  2. Aflori C, Craus M (2007) Grid implementation of the Apriori algorithm. Adv Eng Softw 38(5):295–300

    Article  Google Scholar 

  3. Agarwal A, Davis J, Ward T (2001) Supporting ordinal four-state classification decisions using neural networks. Inf Technol Manage 2(1):5–26

    Article  Google Scholar 

  4. Boley D, Cao D (2004) Training support vector machine using adaptive clustering. In: Proceddings of the SIAM international conference on data mining, Lake Buena Vista, FL, April 2004, pp 126–137

  5. Boulicaut J (2000) A KDD framework to support database audit. Inf Technol Manage 1(3):195–207

    Article  Google Scholar 

  6. Boylu F, Aytug H, Koehler G (2010) Data mining with agent gaming. Inf Technol Manage 11(1):1–6

    Article  Google Scholar 

  7. Brown D, Corruble V, Pittard C (1993) A comparison of decision tree classifiers with back-propagation neural networks for multimodal classification problems. Pattern Recogn 26(6):953–961

    Article  Google Scholar 

  8. Cao X, Yang F (2011) Measuring the performance of Internet companies using a two-stage data envelopment analysis model. Enterp Inf Syst 5(2):207–217

    Article  Google Scholar 

  9. Capozucca A, Guelfi N (2010) Modelling dependable collaborative time-constrained business processes. Enterp Inf Syst 4(2):153–214

    Article  Google Scholar 

  10. Chiang D, Lin C, Chen M (2011) The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres. Enterp Inf Syst 5(2):219–234

    Article  Google Scholar 

  11. Curram S, Mingers J (1994) Neural networks, decision tree induction and discriminant analysis: an empirical comparison. J Oper Res Soc 45(4):440–450

    Google Scholar 

  12. Datta A, Thomas H (2002) Querying compressed data in data warehouses. Inf Technol Manage 3(4):353–386

    Article  Google Scholar 

  13. Du Y, Qi L, Zhou M (2011) A vector matching method for applying logic Petri nets. Enterp Inf Syst 5(4):449–468

    Article  Google Scholar 

  14. Duan L, Street W, Xu E (2011) Healthcare information systems: data mining methods in the creation of a clinical recommender system. Enterp Inf Syst 5(2):169–181

    Article  Google Scholar 

  15. Duan L, Xu L, Guo F, Lee J, Yan B (2007) A local-density based spatial clustering algorithm with noise. Inf Syst 32(7):978–986

    Article  Google Scholar 

  16. Duan L, Xu L, Liu Y, Lee J (2009) Cluster-based outlier detection. Ann Oper Res 168(1):151–168

    Article  Google Scholar 

  17. Duan L, Xu L (2012) Business intelligence for enterprise systems: a survey. IEEE Trans Industr Inform, published online. doi:10.1109/TII.2012.2188804

    Google Scholar 

  18. Feng S, Xu L (1999) Decision support for fuzzy comprehensive evaluation of urban development. Fuzzy Sets Syst 105(1):1–12

    Article  Google Scholar 

  19. Feng S, Xu L (1999) An intelligent decision support system for fuzzy comprehensive evaluation of urban development. Expert Syst Appl 16(1):21–32

    Article  Google Scholar 

  20. Fu C, Zhang G, Yang J, Liu X (2011) Study on the contract characteristics of internet architecture. Enterp Inf Syst 5(4):495–513

    Article  Google Scholar 

  21. Gong Z, Muyeba M, Guo J (2010) Business information query expansion through semantic network. Enterp Inf Syst 4(1):1–22

    Article  Google Scholar 

  22. Governatori G, Iannella R (2011) A modelling and reasoning framework for social network policies. Enterp Inf Syst 5(1):145–167

    Article  Google Scholar 

  23. Guo J, Xu L, Gong Z, Che C, Chaudhry S (2012) Semantic inference on heterogeneous e-marketplace activities. IEEE Trans SMC Part A Syst Hum 42(2):316–330

    Article  Google Scholar 

  24. Han J, Kamber M (2006) Data ming: concepts and techniques. Morgan Kaufmann, Los Altos, CA

    Google Scholar 

  25. He W, Wang F, Means T, Xu L (2009) Insight into interface design of web-based case-based reasoning retrieval systems. Expert Syst Appl 36(3):7280–7287

    Article  Google Scholar 

  26. He W, Xu L, Means T, Wang P (2009) Integrating web 2.0 with the case-based reasoning cycle: a systems approach. Syst Res Behav Sci 26(6):717–728

    Article  Google Scholar 

  27. Hirate Y, Iwahashi E, Yamana H (2004) TF2P-growth: an efficient algorithm for mining frequent patterns without any thresholds. In: Proceedings of IEEE ICDM 2004 workshop on alternative techniques for data mining and knowledge discovery, November 1st 2004, Brighton, UK

  28. Hong S, Weiss S (2001) Advances in predictive models for data mining. Pattern Recogn Lett 22:55–61

    Article  Google Scholar 

  29. Huang J, Ma L, Qian J (2004) Improved support vector machine for multi-class classification problems. J Zhejiang Univ (Eng Sci) 38(12):1633–1636

    Google Scholar 

  30. Huang K, Wan S (2011) Application of enhanced cluster validity index function to automatic stock portfolio selection system. Inf Technol Manage 12(3):213–228

    Article  Google Scholar 

  31. Jiang W, Agarwal A (2009) Special issue devoted to papers presented at the second INFORMS workshop on artificial intelligence and data mining, Seattle, November 3rd 2007. Inf Technol Manag 10(1):39

    Article  Google Scholar 

  32. Jiang W, Agarwal A (2009) Special issue devoted to papers presented at the second INFORMS workshop on artificial intelligence and data mining, Seattle, November 3rd 2007. Inf Technol Manag 10(4):221

    Article  Google Scholar 

  33. Jiang Y, Xu L, Wang H, Wang H (2009) Influencing factors for predicting financial performance based on genetic algorithms. Syst Res Behav Sci 26(6):661–673

    Article  Google Scholar 

  34. Kakousis K, Paspallis N, Papadopoulos G (2010) A survey of software adpatation on mobile and ubiquitous computing. Enterp Inf Syst 4(4):355–389

    Article  Google Scholar 

  35. Kim S, Huo X, Tsui K (2009) A finite-sample simulation study of cross validation in tree-based models. Inf Technol Manage 10(4):223–233

    Article  Google Scholar 

  36. Ko M, Osei-Bryson K (2008) Reexamining the impact of information technology investment on productivity using regression tree and multivariate adaptive regression splines (MARS). Inf Technol Manage 9(4):285–299

    Article  Google Scholar 

  37. Li F, Xu L, Jin C, Wang H (2011) Intelligent bionic genetic algorithm (IB-GA) and its convergence. Expert Syst Appl 38(7):8804–8811

    Article  Google Scholar 

  38. Li F, Xu L, Jin C, Wang H (2011) Structure of multi-stage composite genetic algorithm (MSC-GA) and its performance. Expert Syst Appl 38(7):8929–8937

    Article  Google Scholar 

  39. Li H, Li L (1999) Representing diverse mathematical problems using neural networks in hybrid intelligent systems. Expert Syst 16(4):262–272

    Article  Google Scholar 

  40. Li H, Xu L (2000) A neural network representation of linear programming. Eur J Oper Res 124(2):224–234

    Article  Google Scholar 

  41. Li H, Xu L (2001) Feature space theory—a mathematical foundation for data mining. Knowl-Based Syst 14(5–6):253–257

    Article  Google Scholar 

  42. Li H, Xu L, Wang J, Mo Z (2003) Feature space theory in data mining: transformations between extensions and intensions in knowledge representation. Expert Syst 20(2):60–71

    Article  Google Scholar 

  43. Li J, Wang K, Xu L (2009) Chameleon based on clustering feature tree and its application in customer segmentation. Ann Oper Res 168(1):225–245

    Article  Google Scholar 

  44. Li L (1999) Knowledge-based problem solving: an approach to health assessment. Expert Syst Appl 16(1):33–42

    Article  Google Scholar 

  45. Li L (2011) Introduction: advances in e-business engineering. Inf Technol Manage 12(2):49–50

    Article  Google Scholar 

  46. Li L, Chaudhry S, Chaudhry P, Wang Y (2001) An evaluation of acquiring and implementing a manufacturing resource planning system. Prod Invent Manag J 42(3–4):1–8

    Google Scholar 

  47. Li L, Warfield J, Guo S, Guo W, Qi J (2007) Advances in intelligent information processing. Inf Syst 32(7):941–943

    Article  Google Scholar 

  48. Li T, Feng S, Li L (2001) Information visualization for intelligent decision support systems. Knowl-Based Syst 14(5–6):259–262

    Article  Google Scholar 

  49. Liang L (2008) Earnings forecasts in enterprise information systems environment. Enterp Inf Syst 2(1):1–19

    Article  Google Scholar 

  50. Lim T, Loh W, Shih Y (2000) A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Mach Learn 40(3):203–228

    Article  Google Scholar 

  51. Liu B, Cao S, He W (2011) Distributed data mining for e-business. Inf Technol Manage 12(2):67–79

    Article  Google Scholar 

  52. Liu D, Deters R, Zhang W (2010) Architectural design for resilience. Enterp Inf Syst 4(2):137–152

    Article  Google Scholar 

  53. Luo J, Xu L, Jamont J, Zeng L, Shi Z (2007) A flood decision support system on agent grid: method and implementation. Enterp Inf Syst 1(1):49–68

    Article  Google Scholar 

  54. Lykourentzou I, Dagka F, Papadaki K, Lepouras G, Vassilakis C (2012) Wikis in enterprise settings: a survey. Enterp Inf Syst 6(1):1–53

    Article  Google Scholar 

  55. Ma J, Wang K, Xu L (2011) Modelling and analysis of workflow for lean supply chains. Enterp Inf Syst 5(4):423–447

    Article  Google Scholar 

  56. Menzies T, Hu Y (2003) Data mining for very busy people. IEEE Comput 36(11):22–29

    Article  Google Scholar 

  57. Nemati H, Steiger D, Iyer L, Herschel R (2002) Knowledge warehouse: an architectural integration of knowledge management, decision support, artificial intelligence and data warehousing. Decis Support Syst 33(2):143–161

    Article  Google Scholar 

  58. Nissen M (2001) Agent-based supply chain integration. Inf Technol Manage 2(3):289–312

    Article  Google Scholar 

  59. Paruchuri P, Pearce J, Marecki J, Tambe M (2009) Coordinating randomized policies for increasing security of agent systems. Inf Technol Manage 10(1):67–79

    Article  Google Scholar 

  60. Piao C, Han X, Wu H (2010) Research on e-commerce transaction networks using multi-agent modelling and open application programming interface. Enterp Inf Syst 4(3):329–353

    Article  Google Scholar 

  61. Piramuthu S (2005) Feature selection for reduction of tabular knowledge-based systems. Inf Technol Manage 6(4):351–362

    Article  Google Scholar 

  62. Raja U, Tretter M (2009) Antecedents of open source software defects: a data mining approach to model formulation, validation and testing. Inf Technol Manage 10(4):235–251

    Article  Google Scholar 

  63. Rees J, Koehler G (2002) Evolution in groups: a genetic algorithm approach to group decision support systems. Inf Technol Manage 3(3):213–227

    Article  Google Scholar 

  64. Shan S, Wang L, Wang J, Hao Y, Hua F (2011) Research on e-Government evaluation model based on the principal component analysis. Inf Technol Manage 12(2):173–185

    Article  Google Scholar 

  65. Shavlik J, Mooney R, Towell G (1991) Symbolic and neural learning algorithms: an experimental comparison. Mach Learn 6(2):111–143

    Google Scholar 

  66. Sheikholeslami G, Chatterjee S, Zhang A (1998) WaveCluster : a multi-resolution clustering approach for very large spatial databases. In: Proceedings of the international conference on very large data bases 1998, vol M, Issue 24. Publisher: Citeseer, pp 428–439

  67. Shi S, Xu L, Liu B (1999) Improving the accuracy of nonlinear combined forecasting using neural networks. Expert Syst Appl 16(1):49–54

    Article  Google Scholar 

  68. Shi Z, Huang Y, He Q, Xu L, Liu S, Qin L, Jia Z, Li J, Huang H, Zhao L (2007) MSMiner-a developing platform for OLAP. Decis Support Syst 42(4):2016–2028

    Article  Google Scholar 

  69. Sikora R, Piramuthu S (2005) Efficient genetic algorithm based data mining using feature selection with hausdorff distance. Inf Technol Manage 6(4):315–331

    Article  Google Scholar 

  70. Sugumaran V, Tanniru M, Storey V (2008) A knowledge-based framework for extracting components in agile systems development. Inf Technol Manage 9(1):37–53

    Article  Google Scholar 

  71. Sun B, Xu L, Pei X, Li H (2003) Scenario-based knowledge representation in case-based reasoning systems. Expert Syst 20(2):92–99

    Article  Google Scholar 

  72. Takano K, Chen X, Masuda K (2009) A framework for a feedback process to analyze and personalize a document vector space in a feature extraction model. Inf Technol Manage 10(2–3):151–176

    Article  Google Scholar 

  73. Tan W, Shen W, Xu L, Zhou B, Li L (2008) A business process intelligence system for enterprise process performance management. IEEE Trans SMC Part C 38(6):745–756

    Google Scholar 

  74. Tan W, Xu Y, Xu W, Xu L, Zhao X, Wang L, Fu L (2010) A methodology toward manufacturing grid-based virtual enterprise operation platform. Enterp Inf Syst 4(3):283–309

    Article  Google Scholar 

  75. Tan X, Yen D, Fang X (2003) Web warehousing: web technology meets data warehousing. Technol Soc 25(1):131–148

    Article  Google Scholar 

  76. Tang C, Xu L, Feng S (2001) An agent-based geographical information system. Knowl-Based Syst 14(5–6):233–242

    Article  Google Scholar 

  77. Tremblay M, Berndt D, Luther S, Foulis P, French D (2009) Identifying fall-related injuries: text mining the electronic medical record. Inf Technol Manage 10(4):253–265

    Article  Google Scholar 

  78. van Sinderen M, Almeida J (2011) Enpowering enterprises through next-generation enterprise computing. Enterp Inf Syst 5(1):1–8

    Article  Google Scholar 

  79. Vapnik V (1998) Statistical learning theory. Wiley, London

    Google Scholar 

  80. Viriyasitavat W, Xu L, Martin A (2012) SWSpec, service workflow requirements specification language: the formal requirements specification in service workflow environments. IEEE Trans Industr Inform, in press. doi:10.1109/TII.2011.2182519

  81. Wang L, Xu L, Wang X, You W, Tan W (2009) Knowledge portal construction and resources integration for a large scale hydropower dam. Syst Res Behav Sci 26(3):357–366

    Article  Google Scholar 

  82. Wang L, Xu L, Liu R, Wang H (2010) An approach for moving object recognition based on BPR and CI. Inf Syst Front 12(2):141–148

    Article  Google Scholar 

  83. Wang L, Zeng J, Xu L (2011) A decision support system for substage-zoning filling design of rock-fill dams based on particle swarm optimization. Inf Technol Manage 12(2):111–119

    Article  Google Scholar 

  84. Wang P, Xu L, Zhou S, Fan Z, Li Y, Feng S (2010) Novel Bayesian learning method for information aggregation in modular neural networks. Expert Syst Appl 37(2):1071–1074

    Article  Google Scholar 

  85. Wang P, Zhang J, Xu L, Wang H, Feng S, Zhu H (2011) How to measure adaptation complexity in evolvable systems-a new synthetic approach of constructing fitness functions. Expert Syst Appl 38(8):10414–10419

    Article  Google Scholar 

  86. Wang X, Wang H, Zhang L, Cao X (2011) Constructing a decision support system for management of employee turnover risk. Inf Technol Manage 12(2):187–196

    Article  Google Scholar 

  87. Wetzstein B, Leitner P, Rosenberg F, Dustdar S, Leymann F (2011) Identifying influential factors of business process performance using dependency analysis. Enterp Inf Syst 5(1):79–98

    Article  Google Scholar 

  88. Wu S, Xu L, He W (2009) Industry-oriented enterprise resource planning. Enterp Inf Syst 3(4):409–424

    Article  Google Scholar 

  89. Xu E, Wermus M, Bauman B (2011) Development of an integrated medical supply information system. Enterp Inf Syst 5(3):385–399

    Article  Google Scholar 

  90. Xu L (1995) Case-based reasoning for AIDS initial assessment. Knowl-Based Syst 8(1):32–38

    Article  Google Scholar 

  91. Xu L (1995) Case-based reasoning—a major paradigm of artificial intelligence. IEEE Potentials 13(5):10–13

    Article  Google Scholar 

  92. Xu L (1996) An integrated rule- and case-based approach to AIDS initial assessment. Int J Biomed Comput 40(3):197–207

    Article  Google Scholar 

  93. Xu L (1999) Editorial. Expert Syst Appl 16(1):1–2

    Article  Google Scholar 

  94. Xu L (2006) Advances in intelligent information processing. Expert Syst 23(5):249–250

    Article  Google Scholar 

  95. Xu L (2011) Information architecture for supply chain quality management. Int J Prod Res 49(1):183–198

    Article  Google Scholar 

  96. Xu L, Li Z, Li S, Tang F (2005) A polychromatic sets approach to the conceptual design of machine tools. Int J Prod Res 43(12):2397–2422

    Article  Google Scholar 

  97. Xu L, Li Z, Li S, Tang F (2007) A decision support system for product design in concurrent engineering. Decis Support Syst 42(4):2029–2042

    Article  Google Scholar 

  98. Xu L, Liang N, Gao Q (2008) An integrated approach for agricultural ecosystem management. IEEE Trans SMC Part C 38(4):590–599

    Google Scholar 

  99. Xu L, Liu H, Wang S, Wang K (2009) Modeling and analysis techniques for cross-organizational workflow systems. Syst Res Behav Sci 26(3):367–389

    Article  Google Scholar 

  100. Xu L, Wang C, Luo X, Shi Z (2006) Integrating knowledge management and ERP in enterprise information systems. Syst Res Behav Sci 23(2):147–156

    Article  Google Scholar 

  101. Xu S, Xu L (2011) Management: a scientific discipline for humanity. Inf Technol Manage 12(2):51–54

    Article  Google Scholar 

  102. Yang B, Li L (2001) Development of a KBS for managing bank loan risk. Knowl-Based Syst 14(5–6):299–302

    Article  Google Scholar 

  103. Yang B, Li L, Xu J (2001) An early warning system for loan risk assessment using artificial neural networks. Knowl-Based Syst 14(5–6):303–306

    Article  Google Scholar 

  104. Yin Y, Fan Y, Xu L (2012) EMG & EPP-integrated human-machine interface between the paralyzed and rehabilitation exoskeleton. IEEE Trans Inf Technol Biomed, in press. doi:10.1109/TITB.2011.2178034

  105. Yu H, Yang J, Han J (2003) Classifying large data sets using SVMs with hierarchical clusters. In: Proceedings of the ninth ACM SIGKDD international conference on knowledge discovery and data mining, Washington, D.C., 24–27 Aug 2003

  106. Yuan R, Li Z, Guan X, Xu L (2010) An SVM-based machine learning method for accurate internet traffic classification. Inf Syst Front 12(2):149–156

    Article  Google Scholar 

  107. Zhang H, Wang D, Wu W, Hu H (2012) Term frequency-function of document frequency: a new term weighting scheme for enterprise information retrieval. Enterp Inf Syst, published online. doi:10.1080/17517575.2012.665945

    Google Scholar 

  108. Zhang M, Xu L, Zhang W, Li H (2003) A rough set approach to knowledge reduction based on inclusion degree and evidence reasoning theory. Expert Syst 20(5):298–304

    Article  Google Scholar 

  109. Zhou S, Gan J, Xu L, John R (2009) Fuzziness index driven fuzzy relaxation algorithm and applications to image processing. Ann Oper Res 168(1):119–131

    Article  Google Scholar 

  110. Zhou S, Li H, Xu L (2003) A variational approach to intensity approximation for remote sensing images using dynamic neural networks. Expert Syst 20(4):163–170

    Article  Google Scholar 

  111. Zhou S, Xu L (1999) Dynamic recurrent neural networks for a hybrid intelligent decision support system for the metallurgical industry. Expert Syst 16(4):240–247

    Article  Google Scholar 

  112. Zhou S, Xu L (2001) A new type of recurrent fuzzy neural network for modeling dynamic systems. Knowl-Based Syst 14(5–6):243–251

    Article  Google Scholar 

  113. Zhou Y, Huang F, Chen H (2008) Combining probability models and web mining models: a framework for proper name transliteration. Inf Technol Manage 9(2):91–103

    Article  Google Scholar 

  114. Zhu X, Wang X, Xu L, Li H (2008) Predicting stock index increments by neural networks: the role of trading volume under different horizons. Expert Syst Appl 34(4):3043–3054

    Article  Google Scholar 

Download references

Acknowledgments

This work was partially supported by the Chinese Academy of Sciences under the Grant 20040402 (Distinguished Overseas Scholar Grant), Changjiang Scholar Program of the Ministry of Education of China, National Natural Science Foundation of China under the Grant 71132008, and US National Science Foundation under the Grant 1044845.

Author information

Authors and Affiliations

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100080, China

    Li Zeng & Lian Duan

  2. Old Dominion University, Norfolk, VA, 23529, USA

    Ling Li

  3. New Jersey Institute of Technology, Newark, NJ, 07102, USA

    Lian Duan

Authors
  1. Li Zeng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ling Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lian Duan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lian Duan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zeng, L., Li, L. & Duan, L. Business intelligence in enterprise computing environment. Inf Technol Manag 13, 297–310 (2012). https://doi.org/10.1007/s10799-012-0123-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10799-012-0123-z

Keywords

Search

Navigation