When to Build a Modern Data Stack

The article discusses the signs that indicate an organization needs to invest in a modern data stack. Key points include: 1) When the effort required to answer business questions starts to hinder productivity, it may be time to move to a modern data stack. This is often characterized by teams spending hours each month inputting data into spreadsheets and struggling with large file sizes. 2) Most growing teams will reach a point where they can feel the need for BI tools due to consistently hitting row limits and generating numerous CSV files. 3) The decision to invest in a data stack should be motivated by specific questions related to the customer journey that are currently time-consuming or impossible to answer without advanced data technology. These questions often require information from different systems across various business units, making manual analysis exhaustive for analysts and impossible for non-technical users.