The Evolution of Data Catalogs: The Data Discovery Platform

As someone who has spent 13 years in the weeds of data, I witnessed the rise of the "data-driven" trend first hand. Before starting and selling my first data startup, I spent time as a statistical analyst building sales forecasting models in R, a software engineer creating data transformation jobs, and a product manager running A/B tests and analyzing user behaviors. What all these roles had in common was that they gave me an understanding that the context of data -- what it represents, how it was generated, when it was updated last, and the ways it could be joined with other datasets -- is essential to maximizing the data's potential and driving successful outcomes. However, accessing and understanding the context of data is quite difficult. This is because the context of data is often tribal knowledge, meaning it lives only in the brains of the engineers or analysts who have worked with it recently.