Reading the latest release of Deloitte Global HC Trends made me wonder what common themes this regular series has been covering throughout its 12 years long history.
Aside from satisfying a simple curiosity, it was also a good opportunity to try out a nerdy combination of various cool DS tools: openAI’s embeddings for determining trends similarity, UMAP for dimensionality reduction, DBSCAN for cluster analysis, openAI’s chat completion for cluster summarization and naming, Plotly for interactive dataviz, Shiny for dashboarding, and Python and R for orchestrating it all.
The result? The analysis revealed 13 distinct themes among the 118 specific trends:
It’s no wonder I’ve had dejavu feelings about some trends over the years, but that’s why they are called trends, because they persist over time, right? 😉
If you would like to check the analysis output interactively and in greater detail, you can use this simple dashboard.
For attribution, please cite this work as
Stehlík (2023, June 27). Ludek's Blog About People Analytics: Themes in Deloitte's Global Human Capital Trends between 2011 and 2023. Retrieved from https://blog-about-people-analytics.netlify.app/posts/2023-06-27-deloitte-hc-trends-themes/
BibTeX citation
@misc{stehlík2023themes, author = {Stehlík, Luděk}, title = {Ludek's Blog About People Analytics: Themes in Deloitte's Global Human Capital Trends between 2011 and 2023}, url = {https://blog-about-people-analytics.netlify.app/posts/2023-06-27-deloitte-hc-trends-themes/}, year = {2023} }