A lot of data gets ingested when a new client is onboarded. There are tons of customer data points to sort and filter depending on the application, but the only method available for that was Jinja, the underlying templating language. I led a team to develop and present a solution to this problem.

The goal here was to solve several issues at once:

First, clients wanted to know what customer data was available for them to integrate in their marketing campaigns.

Second, clients wanted a way to stylize and filter the data for various uses.

Our ultimate objective was to make all of this user-friendly. We achieved this by presenting the injested data in a list format with filters and variables along a ‘timeline’ design. Original data variables are shown along the left column, styling and filters are shown in the center column, and the new variable with filters applied is shown in the right column.