You’ve read about many of the kinds of big data projects that you can use to learn more about your data in our What Can a Data Scientist Do for You? article—now, we’re going to take a look at tools that data scientists use to mine that data: performing statistical techniques like clustering or linear modeling, and then turning them into a story through visualization and reporting.
You don’t need to know how to use these yourself, but having a sense of the differences between these tools will help you gauge what tools might be best for your business and what skills to look for in a data scientist.