Adam D McKinnon - People Analytics Blog

Creating Synthetic People Analytics Data

Simple methods for creating people analytics data that you can reuse in your context.

Stephen Pearce, Adam D McKinnon

Data-Driven People Experience: The Three Key Triggers for Success

Data and analytics are the key to making better decisions, improving employee engagement, and driving business results. This article covers the three key triggers for HR…

Adam D McKinnon, Courtenay Howard-Bath Pearce

Using ML to Predict Remuneration Levels

Using the TidyModels ecosystem to apply and tune multiple models to determine optimal performance. This approach could be used, coupling market data and existing employee…

Adam D McKinnon

Predicting Promotions Through Machine Learning

Building an XGBoost model in the Tidymodels ecosystem that predicts whether an employee should be promoted.

Adam D McKinnon

HOW TO ANALYSE THE GENDER PAY GAP ACCURATELY & EFFECTIVELY!

Describing a high level approach for accurately and comprehensively assessing the gender pay gap, and informing corrective action if needed.

Adam D McKinnon, Courtenay Howard-Bath

Using AI to Make Better Promotion Decisions

Examining why HR practitioners should consider using AI to inform promotion decisions, and exploring ways in which AI could be embraced in modern organisations.

Adam D McKinnon, Martha Curioni

Assessing Bias in ML Models

Assessing the presence of bias against minority groups in Machine Learning models to enhance their ethical strength and equality.

Adam D McKinnon

Expediting Exploratory Data Analysis

Experimenting with different methods to rapidly explore relationships within datasets prior to performing other analytic activities.

Adam D McKinnon

Automated assessment of employee data quality using machine learning

An automated, multi-dimensional and scalable approach to monitoring and improving employee data quality using unsupervised machine learning.

Martha Curioni, Adam D McKinnon

Forecasting Future Personnel Requirements Using Machine Learning

A practical demonstration of using machine learning to predict personnel requirements based on customer volumes.

Adam D McKinnon

Going the Distance!

A practical guide to measuring distance using Google Maps in R.

Adam D McKinnon

Measuring Impact in HR: A Practical Demonstration

A ‘How To’ article on the measurment of differences between groups in HR settings.

Adam D McKinnon, Sambit Das

Capturing the Sun!

Exloring Visualisations: Applying the Sunburst Visualisation in R to Synthesize Complex Relationships.

Adam D McKinnon

Show Me The Money! Measuring Impact Over Time

A “How To” article on the use of Causal Impact Analysis for People Analytics Practitioners.

Adam D McKinnon

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…

Adam D McKinnon, Mikaël Wornoo

What is the Forecast for People Analytics?

An article on the use of Google Trends and the new TimeTK and ModelTime Libraries in R.

Adam D McKinnon, Monica Ashton

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…

Adam D McKinnon, André Vermeij

A People Analytics Tutorial on Unsupervised Machine Learning

A “How To” article on the use of Cluster Analysis to understand phenomenon within Organisations.

Adam D McKinnon, Monica Ashton

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.

Adam D McKinnon, Monica Ashton

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…

Adam D McKinnon, Leandra Griep