Literature DB >> 20929194

Competing on talent analytics.

Thomas H Davenport1, Jeanne Harris, Jeremy Shapiro.   

Abstract

Do investments in your employees actually affect workforce performance? Who are your top performers? How can you empower and motivate other employees to excel? Leading-edge companies such as Google, Best Buy, Procter & Gamble, and Sysco use sophisticated data-collection technology and analysis to answer these questions, leveraging a range of analytics to improve the way they attract and retain talent, connect their employee data to business performance, differentiate themselves from competitors, and more. The authors present the six key ways in which companies track, analyze, and use data about their people-ranging from a simple baseline of metrics to monitor the organization's overall health to custom modeling for predicting future head count depending on various "what if" scenarios. They go on to show that companies competing on talent analytics manage data and technology at an enterprise level, support what analytical leaders do, choose realistic targets for analysis, and hire analysts with strong interpersonal skills as well as broad expertise.

Entities:  

Mesh:

Year:  2010        PMID: 20929194

Source DB:  PubMed          Journal:  Harv Bus Rev        ISSN: 0017-8012


  6 in total

1.  Perioperative and ICU Healthcare Analytics within a Veterans Integrated System Network: a Qualitative Gap Analysis.

Authors:  Seshadri Mudumbai; Ferenc Ayer; Jerry Stefanko
Journal:  J Med Syst       Date:  2017-07-06       Impact factor: 4.460

Review 2.  A review of analytics and clinical informatics in health care.

Authors:  Allan F Simpao; Luis M Ahumada; Jorge A Gálvez; Mohamed A Rehman
Journal:  J Med Syst       Date:  2014-04-03       Impact factor: 4.460

3.  Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming.

Authors:  Dana Pessach; Gonen Singer; Dan Avrahami; Hila Chalutz Ben-Gal; Erez Shmueli; Irad Ben-Gal
Journal:  Decis Support Syst       Date:  2020-04-03       Impact factor: 5.795

4.  Fearless path for human resource personnel's through analytics: a study of recent tools and techniques of human resource analytics and its implication.

Authors:  Mansi Saxena; Teena Bagga; Sangeeta Gupta
Journal:  Int J Inf Technol       Date:  2021-05-04

5.  Theorising the Microfoundations of analytics empowerment capability for humanitarian service systems.

Authors:  Shahriar Akter; Saradhi Motamarri; Shahriar Sajib; Ruwan J Bandara; Shlomo Tarba; Demetris Vrontis
Journal:  Ann Oper Res       Date:  2021-11-16       Impact factor: 4.820

6.  Estimating Successful Internal Mobility: A Comparison Between Structural Equation Models and Machine Learning Algorithms.

Authors:  Francesco Bossi; Francesco Di Gruttola; Antonio Mastrogiorgio; Sonia D'Arcangelo; Nicola Lattanzi; Andrea P Malizia; Emiliano Ricciardi
Journal:  Front Artif Intell       Date:  2022-03-25
  6 in total

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