Introduction

Decisions fuel business; without them, progress grinds to a halt. The difference between success and failure often boils down to the choices we make. In the realm of data science, decision-making takes centre stage, as algorithms sift through data to provide insights that drive action.

Interestingly, the everyday challenges faced by data scientists — such as bias in algorithms or the need for varied perspectives — mirror those encountered by businesses, governments, and organizations at large. Given how crucial decision-making is to business success, it’s surprising how little is borrowed from the field of data science.

In this article we are going to explore how we can use learnings from data science to improve decision making through diversity.

Data shows that organisations with greater gender diversity and ethnic diversity are likely to financially outperform other companies by 21% and 33% respectively [1].

However, how can we use diversity to improve our decision making? Can we demonstrate that a diverse team is able to make more effective decisions than a less diverse one?