Deploying models into production is necessary to make sure a data team brings measurable and long-term value to a company. However, it is also one of the key reasons data science fails today. How do companies handle the transition? We figured we'd ask them, and sent out our Production Survey to thousands of companies worldwide. The in-depth analysis of their responses allowed us to identify the ways 4 types of companies handle data science in production today.