Business Intelligence System in Banking Industry Case Study of Samam Bank of Iran

  • Maryam Marefati
  • Seyyed Mohsen Hashemi
Part of the Studies in Computational Intelligence book series (SCI, volume 430)


Business Intelligence (BI) is a set of tools, technologies and process in order to transform data into information and information to required knowledge for improve decision making in organization. Nowadays, we can confidently claim that the use of business intelligence solutions can increase the competitiveness of organization and outstanding it from other organization. This solution enables organization to use available information to exploit the competitive advantages of being a leader and have a better understanding of customer needs and demands to allow better communication with them. In this paper we explain about principals and elements of BI in fist section and in second section we discuss about the application of BI in banking industry and consider Saman Bank of Iran as a case study in order to applying BI solution.


Business Intelligence elements of business intelligence banking industry 


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  1. 1.
    Golestani, A.: Business intelligence and major enterprise decision. Tadbir Monthly 190 (2009)Google Scholar
  2. 2.
    Kimball, R., Caserta, J.: The Data Warehouse ETL Toolkit. Wiley Publisher (2004)Google Scholar
  3. 3.
    Ta’a, A., Abdullah, M.S.: Goal-ontology approach for modelling and designing ETL processes. Procedia Computer Science 3, 942–948 (2011)CrossRefGoogle Scholar
  4. 4.
    Tseng, F.S.C., Chou, A.Y.H.: The concept of document warehousing for multi-dimensional modelling of textual-based business intelligence. Decision Support Systems 46, 727–744 (2006)CrossRefGoogle Scholar
  5. 5.
    Vercellis, C.: Business Intelligence: Data Mining and Optimization for Decision. John Wiley & Sons Publishers (2009)Google Scholar
  6. 6.
    Pedersen, T., Rakic, J.G., Jenesen, C.: Object-extended OLAP querying. Data & Knowledge Engineering 68, 453–480 (2009)CrossRefGoogle Scholar
  7. 7.
    Han, J., Kamber, M.: Data Mining: Concepts and Techniques Services, 2nd edn. Manager Simon Crump Publisher (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer EngineeringIAU University Arak BranchArakIran
  2. 2.Software Engineering and Artificial Intelligence DepartmentIAU University Science and Research BranchTehranIran

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