Littal Shemer Haim
People Analytics, HR Data Strategy, Organizational Research – Consultant, Mentor, Speaker, Influencer
People Analytics Consultant, Workforce Data Strategist
Littal Shemer Haim helps organizations improve business performance by informed decisions about people. She offers leaders guidance in the journey toward a data-driven workforce and conducts People Analytics and Organizational Research projects.
Littal explores innovation in the work-tech ecosystem. She writes and lectures about People, Data, Ethics, and the Future of Work. In addition, she leads learning programs in People Analytics and HR tech.
Littal enjoys keynote speaking at various conferences and professional events in Israel and globally. She shares her knowledge and +25 years of experience in People Analytics, Workforce Data Strategy, and Organizational Research. She is also frequently invited to speak at internal company events.
Latest Activities and Achievements
Learning ONA (Organization Network Analysis) – The DIY Approach
So much has changed in the field of Organization Network Analysis. The organization's needs evolved, new data sources emerged, and tech companies launched new solutions. Leverage the resources on this list based on your professional perspective. This domain is relevant to all.
Key takeaways from People Analytics World, London 2018 – Part 1
The growing importance of data-driven HR was well reflected in the conference. this article covers ten key takeaways from the conference's first day sessions, case studies, and demos. The next blog covers the conference on the 2nd day.
Key takeaways from People Analytics World, London 2018 – Part 2
Eight key takeaways from the conference second-day sessions, case studies, demos and panel.
Visualizing Absenteeism At Work
To demonstrate how visualization is helpful, I picked a relatively common topic in People Analytics: Employee absenteeism. I present two types of hypotheses regarding absenteeism, specifically, how employee background and work characteristics are related to absenteeism.