How We Improved Data Discovery for Data Scientists at Spotify
At Spotify, we believe strongly in data-informed decision making. Whether we’re considering a big shift in our product strategy or we’re making a relatively quick decision about which track to add to one of our editorially-programmed playlists, data provides a foundation for sound decision making. An insight is a conclusion drawn from data that can help influence decisions and drive change.
To enable Spotifiers to make faster, smarter decisions, we’ve developed a suite of internal products to accelerate the production and consumption of insights. One of these products is Lexikon, a library of data and insights that help employees find and understand the data and knowledge generated by members of our insights community. We’ve learned a lot since we first launched this product.
In this blog post, we want to share the story of how we iterated on Lexikon to better support data discovery.