A compact 2-day programme for HR practitioners who want to become more competent and confident in making sense of data for enhanced people decisions

As HR practitioners, are you able to forecast which employees are at risk of leaving? Can you help improve the organisation’s engagement level? Are you well equipped to drive better compensation and benefits design?

Leading companies such as Google and Starbucks have adopted data-driven approaches to make decisions about their employees. Best Buy, an electronics retail store in the USA, found that a 0.1% increase in their employee engagement at a particular store translates into a US$100K increase in the store’s operating revenue. AT&T and Google found that, for their companies, the ability to take initiative, rather than stellar academic records from prestigious schools is a far better predictor of high performance on a job. These companies leverage on employee and other data extensively to help them make objective HR decisions.

The application of talent analytics to enhance the value of companies is well recognised. However, the challenge faced by HR practitioners is i) knowing WHAT to analyse (to identify the kind of analyses that will help them make better people decisions) and ii) knowing HOW to analyse (to have the knowledge and be proficient in the use of analytical tools to undertake analytics). This intensive two-day programme aims to address the challenges outlined above, and equip the HR practitioners to be more competent and confident in making sense of data for enhanced people decisions. 

 

Programme Objectives

By the end of this 2-day programme, participants will be able to:

  • understand the state of HR analytics today.

  • undertake basic and intermediate level data analysis and examine basic multivariate models.

  • gain knowledge to enlarge the scope and depth of the application of analytics to obtain insights that are most valuable to their companies.

  • be aware of common pitfalls in the use of analytics in HR.

  • use analytics to play a bigger role in their organisation.

Who Should Attend

This programme is recommended for executives who are involved in HR functions.  It will also be meaningful for participants of the same company to attend as a group which would facilitate discussions and reflection of action plans for their company.

Competency Levels

HR analytics competency levels may be classified as foundation level, which allows the practitioner to undertake most descriptive data analyses, and advanced level, which allows for analyses that yield predictive and prescriptive insights.  The HR Analytics Certificate: Using Analytics to Improve People Decisions programme enables participants to undertake descriptive analyses and some predictive analyses.

 

Participants who have successfully completed the HR Analytics Certificate: Using Analytics to Improve People Decisions programme may continue to take the Certified HR Analytical Professional (Advanced Level) programme.

Topics

  • State-of-the-art in the field of HR analytics

  • Knowledge and development of competencies in HR analytics

  • Planning for analytics in an organisation

  • What is next for HR? (Implications for you)

 

Please click here for the detailed programme outline and facilitator's profile.

Certification

Participants have to meet a minimum attendance rate of 75% and are required to undergo an assessment at the end of the programme. Only upon meeting the minimum attendance rate and passing of the assessment, will participants be issued a Certificate of Completion.

Participants who failed the assessment will be given a chance for re-assessment at a re-assessment fee of S$481.50 (after GST). Each participant is allowed up to 2 re-assessments. The first re-assessment has to be taken within 1 month following the last attempt and will be held on a weekday specified by SMU Academy.

Participants who meet the minimum attendance rate but do not achieve a pass for the assessment will be issued a Certificate of Participation.

Type of Course

Classroom

Category

HR Management and Strategy

Instructional Methods and Learning Activities

This is a highly interactive programme where class sharing, discussion and exercises will be employed alongside with analytical software hands-on practices to help participants grasp the gist of HR analytics.

 

Formal Assessment
At the end of the programme, participants are required to take an individual assessment which comprises of written and practical parts.

Fees and Funding

Full Fee:
S$1,712.00 (after GST) per person

Fee after 50% e2i Funding*:
S$912.00 (after GST) per person



* e2i Funding
Please note that participant must fulfil ALL the following requirements to be eligible for the 50% funding:

  • Singapore Citizen or Permanent Resident

  • A HR Professional

  • Not employed by a Government Agency e.g. Ministry, Statutory Board, Organisation of State etc. (if company sponsored)

  • Not receiving any other funding from government sources (SkillsFuture Credit & UTAP are excluded)

  • Achieve 100% attendance rate and sit for all assessments for the programme

  • Duly complete the programme's end-of-course evaluation form

 

SkillsFuture
Singapore Citizens aged 25 and above, and self-funding may use their SkillsFuture Credit (up to S$500) to defray part of the course fee. Please click here for the User Guide on how to claim for SkillsFuture Credit. Claim should be submitted via the Training Exchange.

Union Training Assistance Programme (UTAP)
All NTUC union members are eligible for UTAP funding (up to S$250 per annum). Please click here for more information on UTAP and application.

Prerequisite

Participants should ideally be involved in HR functions.

Programme Policies

Please click here for the programme policies on registration / substitution / deferment / withdrawal / refund.

Course Dates

INTAKE 5
1 – 2 Mar 2018 [Full]

 

Waiting List: From time to time, seats in current or upcoming intakes may be opened up. Please email cps@smu.edu.sg your (i) full name, (ii) job designation, (iii) company name, (iv) contact no. and (v) intake to be registered on our waiting list.