If you ask a group of people what the term “data scientist” means to them, you will definitely get multiple answers. In this ever-evolving field of data science, different specialities arise, and one of the most business-impactful aspects centers around analytics. In this talk, we will discuss why it’s important that we, as an industry, empower this role and walk through a case study that demonstrates the many different aspects of what it truly means to build a data product that democratizes analytics. This journey will take us from data policy to the technical underpinnings that support that policy, to operationalization where we’ll tie it all together to form part of the foundation of a compelling data product.