IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-22625-1_8.html
   My bibliography  Save this book chapter

Data Prerequisites

In: Targeting Uplift

Author

Listed:
  • René Michel

    (Deutsche Bank AG)

  • Igor Schnakenburg

    (DeTeCon International GmbH)

  • Tobias von Martens

    (Deutsche Bank AG)

Abstract

A suitable database is crucial for the development and application of uplift models. Thus, this chapter formulates data requirements of uplift modeling and suggests ways to make this data available. The retrieval and aggregation of data on the impact of historical (or analysis) treatments is explained. Moreover, it is shown that a bias associated with the choice of historical data has an impact on the development of uplift models. This chapter concludes with an analysis of suitable target and control group sizes as well as the adjustment of data by sampling in order to enable a model improvement.

Suggested Citation

  • René Michel & Igor Schnakenburg & Tobias von Martens, 2019. "Data Prerequisites," Springer Books, in: Targeting Uplift, chapter 0, pages 191-239, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-22625-1_8
    DOI: 10.1007/978-3-030-22625-1_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-22625-1_8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.