People Analaytics Blog
Forecasting Future Personnel Requirements Using Machine Learning
A practical demonstration of using machine learning to predict personnel requirements based on customer volumes.
Going the Distance!
A practical guide to measuring distance using Google Maps in R.
Measuring Impact in HR: A Practical Demonstration
A "How To" article on the measurment of differences between groups in HR settings.
Capturing the Sun!
Exloring Visualisations: Applying the Sunburst Visualisation in R to Synthesize Complex Relationships.
Show Me The Money! A People Analytics Guide to Measuring Impact Over Time
A "How To" article on the use of Causal Impact Analysis for People Analytics Practitioners.
The Value of Measuring Employee Skill Data
This article explores the two fundamental considerations when it comes to skills management. First, how do you acquire your employees’ skill data? Second, what practical value can you then generate from this wealth of information?
What is the Forecast for People Analytics?
An article on the use of Google Trends and the new TimeTK and ModelTime Libraries in R.
How HR can Apply Network Analysis to Open Data
This article explores how Network Analysis can be applied to a variety of Open data sources to inform people-related decisions inside organisations. Practical use cases applying network analysis to open data are provided.
A People Analytics Tutorial on Unsupervised Machine Learning - Cluster Analysis in R
A "How To" article on the use of Cluster Analysis to understand phenomenon within Organisations.
A Beginner’s Guide to Machine Learning for HR Practitioners
An introductory article intended to demistify Machine Learning (ML)--an important subset of AI--for HR Professionals.
4 Key Insights on the HR Tech Landscape… Analysis from London Unleash 2019
In this article we take a data-driven look at HR Technology, using network analysis. Specifically, we objectively examine the question “which technologies and vendors are influential in the HR Tech landscape?” Anecdotal predictions regarding the future are common, but can we derive an understanding of HR technologies through data and analytics?