Module Details

Module Code: ANAL
Module Title: People Analytics
Title: People Analytics
Module Level:: 8
Credits:: 5
Module Coordinator: Martin Meagher
Module Author:: John Trehy
Domains:  
Module Description: This module aims to provide an understanding of the importance of people analytics in practice. In doing so, the objective is to develop the knowledge, skills and abilities to use people-data in analytical processes to solve business problems. From this process, students will contribute to improved performance in many of the HRM functions, from recruitment and selection, to turnover and retention. This module will enable students to make realistic connections between strategic, business and operational plans. The module will promote the value added strategic role of people analytics, as opposed to the narrow view of meeting reporting and compliance based requirements. Students will also develop a pragmatic approach to people analytics projects and find opportunities from data and vice versa. In summary, the objective is to inform students of how people-data can contribute to HRM’s ultimate objective of improved organisational performance.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Connect HR and business data in ways that aid the alignment and improved success between strategic and operational business plans
LO2 Analyse and use HR data and analytics to demonstrate the impact that HR policies, practices and processes may have on workforce and organisational performance.
LO3 Identify, gather, diagnose and communicate the links between HR analytics and sustainable organisational performance by aligning people data with business intelligence data.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Additional Requisite Information
No Co Requisites listed
 
Indicative Content
Introduction to HR analytics
What is HR/People analytics; Contextual awareness; aligning strategic, business and operational plans;
Developing the Process
Developing a process for analysis; Levels of analysis: descriptive, predictive and prescriptive; trend analysis; diagnosing; scenario planning; risks
Knowledge Sources
Internal and external sources; quantitative and qualitative; hard and soft data; Databases - HR Systems, Data Databases and their usage
Data analysis of the HRM functions
1. Resourcing – forecasting, position surveys  Recruitment and selection – internal and external  Workforce planning – and flexibility  Staff turnover and retention 2. HRD – learning, training and development interventions 3. Performance management and appraisal 4. Employee engagement 5. Rewards 6. Contemporary issues - diversity management
Responsibilities
Ethical and moral responsibilities; Sustainability; CSR, GDPR
Module Content & Assessment
Assessment Breakdown%
Continuous Assessment100.00%

Assessments

Full Time

Continuous Assessment
Assessment Type Other % of Total Mark 40
Timing Week 24 Learning Outcomes 1,2,3
Non-marked No
Assessment Description
Examination/Essay/Group Project/Presentation/Case studies
Example - case study analysis and problem solving, developing descriptive research questions and sources of relevant data.
Assessment Type Other % of Total Mark 60
Timing Sem 2 End Learning Outcomes 1,2,3
Non-marked No
Assessment Description
Examination/Essay/Group Project/Presentation/Case studies
Example - Case study analysis - using predictive and prescriptive analysis of data to solve problems.
No Project
No Practical
No End of Module Formal Examination

SETU Carlow Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Category Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact No Description Every Week 3.00 3
Independent Learning Non Contact No Description Every Week 6.00 6
Total Weekly Contact Hours 3.00
Workload: Part Time
Workload Type Workload Category Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact No Description Every Week 1.50 1.5
Independent Learning Non Contact No Description Every Week 7.50 7.5
Total Weekly Contact Hours 1.50
 
Module Resources
Recommended Book Resources
  • Mike West. (2019), People Analytics For Dummies, 1st. For Dummies, p.464, [ISBN: 1119434769].
  • Laurie Bassi, Rob Carpenter and Dan McMurrer. (2012), HR Analytics Handbook, 1st. McBassi and Co., [ISBN: 9780615599021].
Supplementary Book Resources
  • Nadeem Khan,Dave Millner. (2020), Introduction to People Analytics, 1st. Kogan Page, p.352, [ISBN: 1789661803].
  • Shonna D. Waters,Valerie Streets,Rachael Johnson-Murray,Lindsay McFarlane. The Practical Guide to HR Analytics, [ISBN: 1586445324].
  • Martin Edwards,Kirsten Edwards. (2019), Predictive HR Analytics, Kogan Page, p.536, [ISBN: 0749484446].
  • Bernard Marr. (2018), Data-Driven HR: How to Use Analytics and Metrics to Drive Performance, Kogan Page.
  • Brian E. Becker,Mark A. Huselid,Mark A Huselid,David Ulrich. (2001), The HR Scorecard, Harvard Business Press, p.235, [ISBN: 1578511364].
  • Lyndon Sundmark. (2017), Doing Hr Analytics, 1st. Createspace Independent Publishing Platform, p.218, [ISBN: 1973716372].
  • Nigel Guenole,Sheri Feinzig,Jonathan Ferrar. (2016), The Power of People, Pearson FT Press, p.224, [ISBN: 0134546008].
Supplementary Article/Paper Resources
  • Ahmadi (2016). HR Analytics Implementation: A Step-by-Step Approach..
  • https://www.sage.com/en-au/blog/case-stu dy-how-google-uses-people-analytics/.
  • https://www.linkedin.com/pulse/10-golden -rules-hr-analytics-revisited-patrick-co olen/.
  • https://www.davidrgreen.com/blog/2018/12 /11/the-best-hr-amp-people-analytics-art icles-of-november-2018.
  • https://hrcurator.com/2020/04/28/https-w ww-linkedin-com-pulse-best-hr-people-ana lytics-articles-2019-david-green/.
  • https://www.analyticsinhr.com/blog/ensur e-validity-people-analytics/.
Other Resources
  • AIHR Analytics - analyticsinhr.com.
  • www.CIPD.ie.
  • Library catalogue, Journals, E-Portal.
Discussion Note: