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UID:c7afff5900b421f73e51772ad6dcaf16@egytraining.org
SUMMARY:HR Skills: Using Tools and Metrics
DESCRIPTION:Introduction\nIn today’s data-driven world\, HR Analytics has
  become a critical tool for driving organizational success. It involves usi
 ng people data to evaluate and design better systems\, solve business probl
 ems\, and make evidence-based decisions. HR professionals utilize data coll
 ected from HR systems and business information systems to analyze workforce
  performance\, productivity\, well-being\, and alignment with strategic goa
 ls. By understanding how to leverage HR metrics and workforce analytics too
 ls\, HR departments can ensure that investments in human capital translate 
 into improved organizational performance and a competitive advantage.\nThis
  course is designed to introduce participants to the importance of HR analy
 tics and the tools used to measure and enhance workforce performance. Parti
 cipants will learn to effectively use HR measurement tools to assess and im
 prove organizational strategies and ultimately drive greater productivity a
 nd competitiveness within their companies.\nCourse Objectives\nBy the end o
 f the course\, participants will be able to:\n\nUnderstand the role of anal
 ytics in assessing employee behavior and performance.\nConduct detailed ana
 lysis assessments using HR tools and workforce analytics tools.\nMake evide
 nce-based decisions based on data\, rather than subjective opinions.\nDefin
 e the principles of organizational change and apply them in the HR context.
 \nUtilize a range of assessment tools to improve organizational performance
 \, such as workforce planning and HR reporting tools.\nEnhance HR skills th
 rough training in HR metrics and workforce analytics.\n\nCourse Outlines\nD
 ay 1: Overview of Analytics\, Strategy & HR's Role\n\nThe rationale for an 
 evidence-based approach: Importance of data-driven decision-making in HR.\n
 Data\, information\, and insights: The relationship between raw data and ac
 tionable insights.\nDefining analytics and predictive analytics: Understand
 ing how predictive models can improve workforce planning.\nStrategic HR vs.
  Personnel Management: Transitioning from traditional management to strateg
 ic HR management.\nHR’s contribution to strategy: Leveraging HR tools to 
 align with organizational strategy.\nHuman Capital Approach: Integrating HR
  analytics with human capital development.\n\nDay 2: HR Tools and Methods\n
 \nQuantitative vs. Qualitative data: How both data types inform HR strategy
 .\nRational problem analysis and decision-making models: Understanding deci
 sion-making frameworks in HR.\nHR effectiveness\, efficiency\, and impact m
 easures: Utilizing HR metrics to assess HR performance.\nMethods of data ca
 pture and benchmarking: Collecting and comparing HR data effectively.\nEmpl
 oyee self-assessment and self-report measures: Understanding employee feedb
 ack for performance enhancement.\nElectronic workforce surveillance & analy
 tics: Using technology for workforce analytics and HR reporting.\n\nDay 3: 
 Driving Organizational Change\n\nUnderstanding the cultural context: The ro
 le of culture in shaping organizational change.\nThe dynamic nature of busi
 ness and technology driving change: How HR plays a role in adapting to thes
 e changes.\nTheories of organizational change: How to implement theories in
 to HR practices.\nEnablers and impediments to change: Overcoming barriers u
 sing HR metrics and analytics.\nResistance to change: Addressing employee r
 esistance with data-backed strategies.\nImplementing strategic change: How 
 to manage change effectively using HR tools and workforce analytics.\n\nDay
  4: Putting HR Metrics and Analytics into Action\n\nThe Balanced Scorecard:
  Leveraging this tool to assess the alignment of HR with corporate strategy
 .\nHuman Resource Planning: Using HR tools to forecast future HR needs and 
 create effective workforce plans.\nRecruitment Analytics: Using workforce a
 nalytics to improve recruitment strategies and outcomes.\nSuccession Planni
 ng & Talent Management: How HR metrics support long-term talent strategy.\n
 Absence Management: Utilizing workforce analytics tools to reduce absenteei
 sm and improve productivity.\nSkills analysis and training needs analysis: 
 Using HR measurement tools to identify gaps and training requirements.\n\nD
 ay 5: Metrics and Analytics for Improving Employee Performance\n\nPerforman
 ce Management: Leveraging HR metrics to drive employee performance and deve
 lopment.\nEmployee Motivation: How HR analytics can measure and enhance emp
 loyee engagement and motivation.\nEngagement: Analyzing and improving emplo
 yee engagement through data.\nEmpowerment and Accountability: Using workfor
 ce analytics to foster a culture of accountability and empowerment.\n\nWhy 
 Attend This Course: Wins & Losses!\n\nData-Driven Decision-Making: Learn ho
 w to make decisions based on HR analytics rather than subjective opinions\,
  resulting in more effective HR strategies.\nUsing Advanced HR Tools: Gain 
 hands-on experience using workforce analytics tools and HR measurement tool
 s to assess and improve HR outcomes.\nDriving Organizational Change: Unders
 tand how to lead HR strategic change using HR analytics to measure the impa
 ct of policies and processes.\nImproving Performance: Learn how to use HR m
 etrics to boost employee performance and drive organizational success.\nCom
 petitive Advantage: Enhance your HR capabilities to stay ahead of the compe
 tition by applying evidence-based strategies and workforce analytics.\n\nCo
 nclusion\nThis course equips HR professionals with the skills and tools the
 y need to make evidence-based decisions and improve organizational outcomes
 . By using HR analytics and workforce analytics tools\, participants will b
 e able to drive performance\, enhance employee engagement\, and align HR st
 rategy with organizational goals. This course will empower you to manage an
 d optimize human capital\, giving your organization a distinct competitive 
 edge in today’s fast-paced\, data-driven world.
LOCATION:Paris
DTSTAMP:20260610T124301Z
DTSTART:20260830T034500Z
DTEND:20260912T210500Z
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