As analytics engineers, we know that getting the data model right is crucial for successful data analytics. However, communicating requirements and needs can be a challenge, especially for junior data team members. After noticing too many post-PR revisions and missed requirements, Wellthy began developing a communication framework that has helped streamline and clarify the requirements gathering process for new models.

Their framework is designed to help analysts visualize and anticipate what they need from a dataset, resulting in a more efficient and effective data modeling process for the analytics engineer. In this talk, Kelly Pook shares Wellthy's experiences and best practices using these frameworks, as well as the benefits seen in terms of accuracy, efficiency, and time savings.

Speaker: Kelly Pook, Senior Analytics Engineer, Wellthy