data science

At Lucid, we use data to support almost every important decision we make. Forecasting the lifetime value (LTV) of our customers is crucial to informing many of these decisions, so we have invested significant time to ensure that we can do so accurately. Since starting full-time as a data scientist…

TL;DR: If you are considering using an alternative binary format in order to reduce the size of your persisted JSON, consider this: the final compressed size of the data has very little to do with the serialization method, and almost everything to do with the compression method. In our testing,…

Here at Lucid, we rely on having accurate and timely data accessible to make informed business decisions. As we decide which features to build, how to best position ourselves in the market, and how to better serve our customers, we need to trust that our decisions are based on high-quality…

In the spring of 2018, our data science team at Lucid decided to move our data warehouse from Redshift to Snowflake. We decided to make this change because we felt like Snowflake was a better fit for our data flow and analysis. We knew it would be a significant change…