The emergence of data analytics, artificial intelligence and other tools for making better decisions has been acknowledged by marketing, finance, operations and other functions. HR needs to increase the use of scientific methods to discover what impacts the outcomes that result when adopting specific strategies and programs. HR practitioners must understand quantitative methods and how they can be applied to forecast what impact decisions will have on the effectiveness of the workforce.
The 2-day seminar is designed to help attendees understand why HR must support recommendations on workforce management strategies and programs to decision-makers with relevant and compelling evidence. Although professional expertise and judgment are valuable in developing strategies and programs the use of quantitative evidence is increasingly used to complement judgment.
1. To ensure attendees understand the concepts and principles of sound decision-making and how evidence can inform decision-making and provide support for recommendations to executive management.
2. To demonstrate how the scientific method can be used to formulate and test hypotheses and to structure issues and problems.
3. To inform attendees about how quantitative methods and technology can be used to find relevant data and other forms of evidence and analyze alternative strategies.
4. To demonstrate how statistical techniques can be applied to common problems.
5. To engage attendees in applying evidence using case studies.
I. Sound Decision-Making
• Defining issues/problems
• Identifying alternative approaches to finding solutions
• Structuring the decision-making process
• Determining what evidence is required for making informed decisions
II. Finding and Analyzing Evidence
• Identifying sources of relevant and usable data
• Turning data into information
• Tools for data analysis
• Incorporating qualitative evidence into the analysis
• Formulating conclusions based on evidence
III. Developing and Presenting Recommendations
I. Applying Evidence To Decision-Making
II. Finding and evaluating relevant evidence
• Professional knowledge
III. Analyzing evidence
• Data analytics
• Artificial intelligence
IV. Basing recommendations on evidence
Who should attend
• HR practitioners and managers at all levels; Management personnel responsible for global/diverse workforces.
• Case Studies
• 11 & 12 March 2019
• Two days
• 9 am to 5.30 pm
A Certificate of Attendance will be awarded at the end of the course.
• S$ 1250 for Community
• S$ 1280 for Non-Subscribers
• Coffee & tea with snacks during the morning and afternoon breaks
• Buffet lunch with vegetarian & halal options