#116 A Startup's Early Journey Towards Decentralizing Data - Iterable's Analytics Evolution - Interview w/ Riya Singh

https://www.patreon.com/datameshradio (Data Mesh Radio Patreon) - get access to interviews well before they are released Episode list and links to all available episode transcripts (most interviews from #32 on) https://docs.google.com/spreadsheets/d/1ZmCIinVgIm0xjIVFpL9jMtCiOlBQ7LbvLmtmb0FKcQc/edit?usp=sharing (here) Provided as a free resource by DataStax https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio (AstraDB); George Trujillo's contact info: email (george.trujillo@datastax.com) and https://www.linkedin.com/in/georgetrujillo/ (LinkedIn) Transcript for this episode (https://docs.google.com/document/d/1Zkr674u2niwHefNtVrCnwuwIZZi_amYJtThCvu29NKU/edit?usp=sharing (link)) provided by Starburst. See their Data Mesh Summit recordings https://www.starburst.io/learn/events-webinars/datanova-on-demand/?datameshradio (here) and their great data mesh resource center https://www.starburst.io/info/distributed-data-mesh-resource-center/?datameshradio (here) In this episode, Scott interviewed Riya Singh, Business Insights Manager at Iterable. Some key takeaways/thoughts from Riya's point of view: ~4 years ago, Iterable was in essentially "spreadsheet hell" with lots of manual data work and no standard way of storing or sharing data across domains. While domains had good data capabilities, the integration and coordination between domains was very difficult at best. Most exec questions can't be answered by the data from a single domain so cross domain data integration became a key factor in Iterable continuing to grow. How could they make crucial decisions informed by data if there was so much manual work to try to integrate ad hoc? Could they really trust something done manually each time? Fast time to market for simple, base level capabilities of their data platform was much more valuable than trying to nail every feature upfront. Data consumers understood it wasn't perfect data at the start but it led to much faster exploratory data initiatives which led to valuable insights sooner. You mi