Big Data & IoT for Effective HR Management

Marketing Institute of Singapore - Executive Development


Course introduction

Businesses today are operating in an increasingly challenging and dynamic environment, which would require highly adaptive human resources (HR) in an effective learning organization. This has posed new challenges to the talent management function, especially with the proliferation of digital technologies such as IoT (Internet of Things) changing the connectivity between people using the many mobile devices and applications available. Human resource management (HRM) will need to adapt to the new world of digital technologies to provide an effective talent management function - recruitment, selection, learning and development (L&D), as well as career planning to retain and develop future leaders for the organization. Organizations today must learn to adopt the new IoT (digital technology) and Big Data application tools in order to utilise information effectively for timely and informed business decisions across the organization. This workshop will provide an overview and understanding of IoT and Big Data concepts as well as applications that gather information and provide insights for HRM, which in turn will lead to an improved and effective talent management process.



Course Benefits


- Appreciate and understand Big Data applications with IoT concepts in HRM processes to improve productivity and effectiveness

  • Impact of using online application and profiling tools for the recruitment and selection process – improved job matching and selection of talents with the required personality traits and skills.
  • Organized data and information for ease of access, analysis and communication for informed decisions – records of profile assessments, training needs analysis (TNA), L&D plans, and performance appraisals.
  • Mentoring and coaching – Big Data and IoT applications for monitoring the selection of mentor or coach, and record of on-the-job training (OJT) provided should be formalised as part of the TNA and L&D processes.
  • Career and personal development plans information to be captured as an integrated process.
- Understand the challenges in the gathering of unstructured and qualitative personnel data, to be organized and compiled as information. Appreciate the vast amount of organized information available for analysis, to be provided for informed business decisions.
- Appreciate the applications of IoT using digital devices (such as smartphone, mobile apps, online eLearning) and Big Data (personnel data and information) that could be gathered for a better talent management strategy and process.



Target Audience


  • Leaders of functional areas who need data analytics to enhance the effectiveness of the business decision making process – analytical tools providing insights for timely and informed decisions.
  • Leaders and professionals who need to develop business capabilities to enhance the effectiveness of an organization’s
  • Professionals or specialists who manage the HR operations including talent management, L&D.
  • Applicable across a diversity of target markets and industries – retail, manufacturing, F&B, aerospace, healthcare, insurance and education.



Course Outline


Introduction & Overview of Big Data

The huge “volume” of data generated, with such tremendous “velocity” (speed of transactions), and “variety” (different types and formats), it poses massive challenges to store and organize these data for analysis – to provide information for efficient operations.

  • In HRM recruitment and selection – job description, candidate application, and in some cases profile assessment, candidates selected, interview feedback, job offer (include market data on compensation and benefits package)
  • Learning and development – TNA (training needs analysis including skill gaps), list of training provided and evaluation, personal and career development plan
Introduction to IoT & Big Data Applications
  • Require a process to capture data – recruitment and selection, learning and development (including TNA), career development and performance measurement.
  • IoT tools – web or cloud based technology with online access to capture personnel information, providing ease of access (including mobile apps if needed).
  • Big Data applications – profile assessment for job application matching and TNA, which would provide information for learning and development planning.
  1. Market data – compensation and benefits package offer for different occupations and professions, for benchmarking and retention strategies.
  2. Leadership development and succession planning
  3. Career and personal development – matching personal aspirations with organisation growth plans.
Introduction to 7S Model – How Big Data and IoT Apply in Organisation Management
  • Understand how IoT is the supporting factor for Strategy and System in the 7S model
  • Big Data (information) would define the Staff, Skills and Structure requirements in the 7S model



Available Course Sessions


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Trainer Profile


Peter Loh

Peter Loh is an experienced professional in strategic management and MBCI (Market, Business & Competitive Intelligence) for over 20 years, spanning across several industries such as electronics, automotive, telecommunication, oil & gas industries. He has led many cross functional projects which produced valuable insights and critical information to drive strategic decisions.

Peter is now an Adjunct faculty member at Singapore Institute of Technology, having developed the Organization & Management module, and introducing the McKinsey 7-S concept as an analytical tool for organizational effectiveness. He has also conducted lectures at private education institutions such as Lithanhall Academy's Technopreneruship program. He formerly served as a mentor for the Edupreneur startup bootcamp, coaching professional students in developing business proposals and go-to-market plans, such as a Hindi Connect project to develop online learning content and tools, including mobile apps to be launched using a LMS platform.

Peter has an immense passion and interest in business and market development, constantly toying with ideation and is attempting to envisage a converged market, with varying business concepts and models. He is a firm believer of Big Data analysis, applying both quantitative as well as qualitative analysis (i.e. MBCI) to obtain valuable insights and intelligence for informed strategic decisions.

Peter led a Global Marketing Services (MBCI) research project for Shell's lubricant products - provided insights to agency's business models and operations mode, and recommended a "glocalisation" regional strategic sourcing strategy to the global category team.

Peter holds a Master's in Business Administration from Indiana University, and also an Advanced Certificate in Training and Assessment from the Singapore Workforce Development Agency.



 

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