• DocumentCode
    2399095
  • Title

    A Tool for Intelligent Customer Analytics

  • Author

    Nauck, DetlefD ; Ruta, Dymitr ; Spott, Martin ; Azvine, Ben

  • Author_Institution
    Res. & Venturing, Intelligent Syst. Res. Centre
  • fYear
    2006
  • fDate
    Sept. 2006
  • Firstpage
    518
  • Lastpage
    521
  • Abstract
    Businesses collect and keep large volumes of customer data as part of their processes. Analysis of this data by business users often leads to discovery of valuable patterns and trends that otherwise would go unnoticed and that can lead to prioritization of decisions on future investments. The majority of tools currently available to business users are typically limited to computing summary statistics, simple visualization and reporting of data. More complex tools that could offer possible explanations for observations, discover knowledge, or allow making predictions are usually aimed at an academic audience or at users who are highly trained in analytics. However, it is business users with little experience in analytics who require access to tools that allow them to easily model customer behavior and build future scenarios. In this paper we present a tool we developed for business users to perform advanced analysis on customer data
  • Keywords
    belief networks; business data processing; customer relationship management; data analysis; knowledge based systems; learning (artificial intelligence); statistical analysis; Bayesian network; business users; data visualization; intelligent customer analytics; intelligent data analysis; machine learning; summary statistics; Algorithm design and analysis; Bayesian methods; Business; Competitive intelligence; Computational and artificial intelligence; Data analysis; Learning systems; Machine learning; Management training; Network servers; Bayesian Network; Intelligent Data Analysis; Machine Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2006 3rd International IEEE Conference on
  • Conference_Location
    London
  • Print_ISBN
    1-4244-01996-8
  • Electronic_ISBN
    1-4244-01996-8
  • Type

    conf

  • DOI
    10.1109/IS.2006.348473
  • Filename
    4155480