The correct interpretation of data is essential. Across businesses, data has never been more relevant. Predicting default, connecting to customers, evaluating campaigns, estimating impacts – it’s all vital. However, humans are not robots and we naturally insert biases into our decision-making. Unfortunately, such biases can fundamentally invalidate our conclusions. Here, Dr. Shidan Murphy will present on the danger of applying biases into data interpretation using everyday examples. Finally, he will show how to use an analytical platform to detect and avoid one such bias – the Simpon’s Paradox