IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-981-19-3873-3_12.html
   My bibliography  Save this book chapter

Role and Deployment of Statistics and Data Science in People Analytics

In: People Analytics

Author

Listed:
  • Rahul Ghatak

    (Acumetric Global Solutions)

Abstract

The People Analytics possibilities are not a recent phenomenon. Even in the last decade, organizations have been collecting HR metrics to measure critical KPIs that matter, such as “retention rates”, “employee engagement” or “time to fill”. During that period, KPIs were pretty basic, relying mostly on simple charts and resorting to generating insights only for specific projects. Then things started changing with globalization, talent mobility, business models reinventing themselves and of course the data explosion. It was only a matter of time before Statisticians started making an appearance in the HR function along with a relatively new domain of “data science”.

Suggested Citation

  • Rahul Ghatak, 2022. "Role and Deployment of Statistics and Data Science in People Analytics," Management for Professionals, in: People Analytics, chapter 0, pages 191-223, Springer.
    • Handle: RePEc:spr:mgmchp:978-981-19-3873-3_12
    DOI: 10.1007/978-981-19-3873-3_12
    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 search 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:mgmchp:978-981-19-3873-3_12. 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.