IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-30967-1_20.html
   My bibliography  Save this book chapter

People Analytics in Practice: Connecting Employee, Customer, and Operational Data to Create Evidence-Based Decision Making

In: Smart Service Systems, Operations Management, and Analytics

Author

Listed:
  • Fiona Jamison

    (Spring International)

Abstract

People analyticsPeople analytics is a rapidly growing field and one that can be daunting for many HR professionals. The sophistication and capability of organizations vary considerably. Some organizations are just starting to get a handle on their data and improve its quality while others are on the cutting edge of predictive analytics. This paper outlines an analytics maturity model and various case studies sharing how organizations have moved from data to action. Examples will demonstrate how companies have embarked on a journey to connect data on employee attitudes, customer loyalty and satisfaction, operations, and financial performance to make more informed evidence-based business decisions.

Suggested Citation

  • Fiona Jamison, 2020. "People Analytics in Practice: Connecting Employee, Customer, and Operational Data to Create Evidence-Based Decision Making," Springer Proceedings in Business and Economics, in: Hui Yang & Robin Qiu & Weiwei Chen (ed.), Smart Service Systems, Operations Management, and Analytics, pages 223-228, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-30967-1_20
    DOI: 10.1007/978-3-030-30967-1_20
    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.

    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:prbchp:978-3-030-30967-1_20. 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.