Data analytics never seems to be fast enough, especially as data grows and the number of sources expand. The shift from legacy databases to in-memory databases helped, but the speed and scale of CPU-based solutions have not kept pace with the needs of data analysts, who want interactive querying, visualisation and decision-making with their data. This lagging user experience costs time and money for companies that are increasingly data rich but insight poor. In this presentation, we will explain what is causing the shift to GPUs, and how they are fundamentally changing the analytics space. We will also show, using demos, the use of GPUs for performing fast analytics at scale, including SQL queries, interactive data visualisation, and integration with typical data science and machine learning workflows.