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

EasyChair Preprint 1512

5 pagesDate: September 14, 2019

Abstract

People analytics is a rapidly growing field and one that can be daunting for many HR professionals. The sophistication and capability of organizations varies 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.

Keyphrases: Analytics, Engagement, HR

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:1512,
  author    = {Fiona Jamison},
  title     = {People Analytics in Practice: Connecting Employee, Customer and Operational Data to Create Evidence-Based Decision Making},
  howpublished = {EasyChair Preprint 1512},
  year      = {EasyChair, 2019}}
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