Trifacta started out as a company focused on creating a new and easy-to-use experience for structuring, cleaning, blending, and aggregating data. Over the years, we saw more and more of our customers using Trifacta not only to clean data, but to deploy data preparation recipes into data pipelines that feed analytics processes, AI workloads and more. The feedback we got is that legacy tools for data pipelining were rigid and hard to use. Trifacta was not only useful for self-service data preparation, but the intelligent, visual interface made it easier for users to discover and clean data quality issues, uncover and extract new insights in data, and build and deploy data pipelines faster. A big focus of development work at Trifacta over the last year has been to expand our capabilities in automation and data pipelining, and one feature to come out of this work is Plans.