Corpus ID: 17561726

Business Intelligence in a Nutshell

@article{Kumari2013BusinessII,
  title={Business Intelligence in a Nutshell},
  author={Navita Kumari},
  journal={International Journal of Innovative Research in Computer and Communication Engineering},
  year={2013},
  volume={1},
  pages={969-975}
}
  • Navita Kumari
  • Published 2013
  • Computer Science
  • International Journal of Innovative Research in Computer and Communication Engineering
  • Business Intelligence is gaining popularity in organizations. Business Intelligence systems are developed to help the organizations understand their customers, operations and performance. BI systems act as measurements units for a business or an organization. Poor intelligence leads to poor decision making. BI has problems like data quality, which an organization has to overcome, in order to improve its decision making. A serious effort has been made to understand the cause of poor quality… CONTINUE READING
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    References

    SHOWING 1-10 OF 27 REFERENCES
    Business intelligence systems: design and implementation strategies
    • 161
    • PDF
    Techniques, Process, and Enterprise Solutions of Business Intelligence
    • 80
    Support of Decision Making by Business Intelligence Tools
    • Milena Tvrdíková
    • Computer Science
    • 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)
    • 2007
    • 39
    A Descriptive Classification of Causes of Data Quality Problems in Data Warehousing
    • 88
    Practical Business Intelligence with SQL Server 2005
    • 17
    Building Data Mining Applications for CRM
    • 649
    A Business Intelligence System
    • 581
    • PDF