HRM858 - Human Resources Analytics

Outline info
Semester
School
Last revision date 2024-01-29 00:50:44.253
Last review date 2024-02-05 00:15:03.198


Subject Title
Human Resources Analytics

Subject Description
To be a strategic human resources practitioner, one must be able to provide data driven facts and be able to use them in order to proactively address HR issues and strategically support the business.  Data driven analytics and metrics, provides HR with information to help drive strategic business decisions and build executive partnerships.  To help businesses deliver a competitive advantage over the competition, HR provides analytics on key performance indicators, HR analytics and interpretation of the data for the organization.  This course will provide the theory, concept and best practices in gathering business requirements, planning, research techniques, data analysis, metrics, and reporting. 

Learning Outcomes
Upon successful completion of this subject the student will be able to:

Upon successful completion of this subject the student will be able to:
 
   •     Recognize how HR analytics supports business decisions, aligns to company goals and builds executive relationships
    •       Prepare and plan your HR analytics project using a systematic approach to collecting, analyzing and interpreting the data
    •       Use requirements gathering tools and techniques:  research and collect the right data for your industry
    •       Identify HR performance frameworks and measurement systems which are aligned with corporate strategy
    •       Build and improve existing measurement systems in order to gain significant business insights
    •       Leverage the power of current information technology to record, retrieve and report on HR information
    •       Analyze data using appropriate metrics, benchmarks and indicators
    •       Convert data into strategic decision-making information
    •       Communicate your findings in a compelling manner to get buy-in and attention from the executive and senior leadership team

Academic Integrity
Seneca upholds a learning community that values academic integrity, honesty, fairness, trust, respect, responsibility and courage. These values enhance Seneca's commitment to deliver high-quality education and teaching excellence, while supporting a positive learning environment. Ensure that you are aware of Seneca's Academic Integrity Policy which can be found at: http://www.senecapolytechnic.ca/about/policies/academic-integrity-policy.html Review section 2 of the policy for details regarding approaches to supporting integrity. Section 2.3 and Appendix B of the policy describe various sanctions that can be applied, if there is suspected academic misconduct (e.g., contract cheating, cheating, falsification, impersonation or plagiarism).

Please visit the Academic Integrity website http://open2.senecac.on.ca/sites/academic-integrity/for-students to understand and learn more about how to prepare and submit work so that it supports academic integrity, and to avoid academic misconduct.

Discrimination/Harassment
All students and employees have the right to study and work in an environment that is free from discrimination and/or harassment. Language or activities that defeat this objective violate the College Policy on Discrimination/Harassment and shall not be tolerated. Information and assistance are available from the Student Conduct Office at student.conduct@senecapolytechnic.ca.

Accommodation for Students with Disabilities
The College will provide reasonable accommodation to students with disabilities in order to promote academic success. If you require accommodation, contact the Counselling and Accessibility Services Office at ext. 22900 to initiate the process for documenting, assessing and implementing your individual accommodation needs.

Camera Use and Recordings - Synchronous (Live) Classes
Synchronous (live) classes may be delivered in person, in a Flexible Learning space, or online through a Seneca web conferencing platform such as MS Teams or Zoom. Flexible Learning spaces are equipped with cameras, microphones, monitors and speakers that capture and stream instructor and student interactions, providing an in-person experience for students choosing to study online.

Students joining a live class online may be required to have a working camera in order to participate, or for certain activities (e.g. group work, assessments), and high-speed broadband access (e.g. Cable, DSL) is highly recommended. In the event students encounter circumstances that impact their ability to join the platform with their camera on, they should reach out to the professor to discuss. Live classes may be recorded and made available to students to support access to course content and promote student learning and success.

By attending live classes, students are consenting to the collection and use of their personal information for the purposes of administering the class and associated coursework. To learn more about Seneca's privacy practices, visit Privacy Notice.

Topic Outline
The People Analytics Age
    •       How to Migrate from Business Analytics to People Analytics
    •       The Seven Pillars of People Analytics Success
    •       Workforce Planning Analytics
    •       Talent Sourcing Analytics
    •       Talent Acquisition Analytics
    •       Onboarding and Cultural Fit
    •       Talent Engagement Analytics
    •       Analytical Performance Management
    •       Employee Lifetime Value and Cost Modeling
    •       Using Retention Analytics to Protect Your Most Valuable Asset
    •       Employee Wellness, Health, and Safety to Drive Business Performance and Loyalty
    •       Big Data and People Analytics
    •       Future of People Analytics

Mode of Instruction
A combination of teaching methods will be utilized which may include lectures, case studies, discussions, group and individual work.

Prescribed Texts
Title:  People Analytics in the Era of Big Data: Changing the Way You Attract, Acquire, Develop, and Retain Talent
Author(s):  Jean Paul Isson, Jesse S. Harriott, Jac Fitz-enz (Foreword by)
Publisher:  Wiley
ISBN: 978-1-119-05078-0

Reference Material
None

Required Supplies
None

Student Progression and Promotion Policy

http://www.senecapolytechnic.ca/about/policies/student-progression-and-promotion-policy.html

Grading Policyhttp://www.senecapolytechnic.ca/about/policies/grading-policy.html

A+ 90%  to  100%
A 80%  to  89%
B+ 75%  to  79%
B 70%  to  74%
C+ 65%  to  69%
C 60%  to  64%
D+ 55%  to  59%
D 50%  to  54%
F 0%    to  49% (Not a Pass)
OR
EXC Excellent
SAT Satisfactory
UNSAT Unsatisfactory

For further information, see a copy of the Academic Policy, available online (http://www.senecapolytechnic.ca/about/policies/academics-and-student-services.html) or at Seneca's Registrar's Offices. (https://www.senecapolytechnic.ca/registrar.html).


Modes of Evaluation

Modes of Evaluation

Assignments are due on the dates specified. Should extenuating circumstances arise, please contact your instructor immediately, prior to when your assignment is due, so an appropriate course of action can be established. Late assignments may be subject to a penalty of up to 10% per week and will not generally be accepted beyond two weeks after the assignment due date.

In cases of cheating or plagiarism, the College Academic Policy will prevail.  Please ensure that all assignments and reports are properly documented.

Students are referred to the following web site for the Seneca College Library MLA Style Guides, Academic Honesty Policy and Copyright guidelines:  

http:/senecapolytechnic.ca/library

Dates for evaluations are specified in the weekly schedule addendum to this outline. The evaluation process may include, but is not limited to, tests, exams, assignments or presentations. Any absences or missed submissions due to medical or other reasons must be supported by medical or other appropriate documentation within one (1) week of the due date. The faculty and program area must be notified immediately in the even of a missed evaluation. Upon acceptance of the documentation, the weighting of the missed deliverable will normally be applied to the final exam.

English Competency:

The ability to communicate effectively is essential for success in business. Therefore, you must demonstrate English competency in this course in both oral and written work. Ensure your written work includes correct sentence structure, spelling and punctuation. Always spell check, edit and proofread your work.

Grading is based on the following marking scheme:


Grading is based on the following marking scheme: 
 
Term Project                          30%
In Class Case Study           10%
Mid Term Test                       30%
Final Exam                            30%

Please note: HRPA requires an overall average of 70% for the required courses, with no individual course mark lower than 65%.

Please retain this course outline document for future educational and/or employment use.

Approved by: Jean-pierre Patry