We use data platforms to perform data science on customers’ big data sets. We start by defining the project or receive a defined project and work with our customers to come up with the best potential output. The next step is to build out our environment within the platform and make sure we have the right tools, right access, right data, and right compute power. Once that’s all set up, we load the data! Thats when exploration begins, which leads to analysis and visualization of the data. Models are built for training and validation. The final step is deploying those into your production environment.