Data Science is a vast discipline with research professionals and brilliant scientists working on cutting edge AI and ML technologies. But translating the impact of a model on revenue and margins to generate business value is essential for success. To achieve this, a generalist approach is required, where professionals can think beyond the models and algorithms and understand that data is an enabler in a vast scheme of things. More often than not simple, understandable models solve real-world problems as they are robust, scalable and readily trusted by conventional teams.