Empowering Employee Experience via Advanced Analytics – Muge Guclu & Yuyu Zeng, Shell, The Netherlands


Session Outline

This presentation highlights a few user cases on how advanced analytics can help improve employee experience. One user case focuses on developing a recommendation engine for the learning platform to maximize employee experience. Dynamic employee-based recommendations will enable employees to close the gap in personal upskilling & reskilling needs/requirements. Another user case utilizes text analytics to analyze job descriptions, extract skills from job descriptions, identify skill adjacencies for internal movers and identify suitable learning content to close skill gaps.

Key Takeaways

  • Improving Employee Experience & Engagement
  • Recommendation Engines for Learning Platforms
  • Employee Learning pathway quality improvement
  • Text analytics in HR, upskill/reskill

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