Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges. Accenture: Fairness in algorithmic decision-making We were tasked with evaluating fairness in its myriad forms, and mapping the various expressions of fairness to the data science workflow. Accenture challenged us to aggregate and organise the elements of the fairness literature into a manageable structure, and to provide meaningful visualisations that facilitate productive discussions around fairness in an analytical project. In this study, we focus on financial services and, in particular, on credit allowance in retail banking, where there is a prevalence of algorithms impacting customers and the services they are able to receive.