HR Analytics Certificate – Using Analytics to Improve People Decisions
- Analytics & Tech
- Artificial Intelligence
- Human Resource
2 Days
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 (HR department) to attend as a group which would facilitate discussions and reflection of action plans for their company.
*Applications will be reviewed by our Programme Admissions Committee. The decision made by the committee is final and no request to review the decision or reveal the considerations leading to the decision would be entertained.
Overview
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.
Learning Objectives
- To address the state of HR analytics today.
- To raise the competency level of HR professionals in the use of analytics to undertake basic and intermediate level data analysis and examine basic multivariate models. This will include a discussion of the various types of data and their relationship to analytical outcomes.
- To infuse in participants the knowledge to enlarge the scope and depth of the application of analytics to obtain insights that are most valuable to their companies.
- To examine common pitfalls in the use of analytics in HR.
- To prepare participants for analytics to play a bigger role in their organisation.
Programme Highlights
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.
Topic/Structure
The application of talent analytics to enhance the value of companies is well recognised. However, the challenge faced by HR practitioners is:
- knowing WHAT to analyse (to identify the kind of analyses that will help them make better people decisions) and
- 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.
State-of-the-art in the field of HR analytics
- HR questions that can be answered with HR analytics
- Kinds of analytics that address talent questions
- Leading and lagging indicators and their relationship to HR analytics
- Linking HR practices to business outcomes
The application of HR analytics to enhance the value of companies is one of the hottest topics for HR practitioners today. In the article ‘Competing for Talent Analytics’, Professor Thomas Davenport and his team noted that early adopters of HR analytics have created a tangible value for themselves by applying the use of data and tools to people processes and that these organisations have a hard-to-replicate competitive advantage.
Knowledge and development of competencies in HR analytics
- Principles of research and survey designs
- Types of data
- Relationship between data types and analytical methods
- Analysing and comparing human capital facts (basic level)
- Performing human capital investment and talent data modelling (intermediate level)
- Advanced analytics* in HR (the use of structural equation modelling and choice modelling techniques)
* These methods require a long learning curve and discussions will focus on knowing their application rather than on skill development.
Planning for analytics in an organisation
- HR analytics planning considerations
- Avoiding common pitfalls
- Decisions to setting up analytics team or outsourcing
- HR analytical competencies
What is next for HR?
- Implications for you
Assessment
Participants have to meet a minimum attendance rate of 75% and have to complete all assessment(s) required by the course. Only upon meeting the minimum attendance and passing the assessment will participants be issued a Certificate of Completion.
Participants who fail the assessment will be given a chance for re-assessment at a fee of SGD100.00 (excluding prevailing GST). Each participant is allowed 1 re-assessment. The re-assessment has to be taken within 7 calendar days from the end of the course date. It will be held on a weekday specified by SMU Academy and conducted during office hours. Please note that re-assessment fees are not supported by SSG Funding.
Participants who meet the minimum attendance rate but do not achieve a pass for the assessment will be issued a Certificate of Participation.
SMU will provide laptops pre-loaded with analytics software to all course participants.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$523.20 (After SSG Funding 70%) |
$203.20 (After SSG Funding 70% |
$523.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$203.20 (After SSG Funding 70% |
$203.20 (After SSG Funding 70% |
$203.20 (After SSG Funding 70% |
|
International Participant |
$1,744 (No Funding) |
$1,744 (No Funding) |
$1,744 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
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Testimonials
Additional Details
Certified Professional Business Manager (CPBM)
This programme is part of Certified Professional Business Manager. Participants who successfully complete 6 courses/modules with a minimum of 15 training days, from a list of qualifying programmes (terms and conditions apply) within 5 years will receive the Certified Professional Business Manager (CPBM). For example:
Please click here for CPBM details and list of qualifying programmes.
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