Without context and structure, data is essentially useless. The data we use today is often static and siloed, requiring an abundance of human intervention and assumptions to finalize any analysis. Organizing data so that the relationships between them are easy to use for humans and algorithms is critical to scaling data-driven initiatives and deploying solutions quickly.