Analytics is the discovery, interpretation, and communication of meaningful patterns and knowledge in recorded data. In the life sciences, analytics are crucial for understanding the -omics revolution and being on the cutting-edge of precision medicine. Using data analytics for fact-based decision-making is key to improving patient outcomes. It enables faster drug discovery, target validation through to clinical trials, and access to personalised medicine. However, more data does not necessarily mean better data or more knowledge. In his article, Dr Misha Kapushesky of Genestack gives an overview of how to get the most out of analytics.