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When it comes to data science, testing your far-fetched ideas in production can be daunting. This is especially hard when you’re in a fast-paced environment such as Flipp, where ideas are always brewing and new projects are always starting. In exploring Flipp’s approach to testing new ideas, we’ll look at how we build simple models to solve some hard problems.