This document discusses systems of record and systems of engagement, and how to determine if a problem qualifies as a "big data" problem. It provides two examples use cases - one involving high volume structured transaction data from institutional clients, and one involving analyzing low variety and veracity unstructured text data. For each use case, it evaluates the four V's (volume, velocity, variety and veracity) and determines if it qualifies as a big data problem based on those characteristics. The document aims to help readers understand how to identify big data problems and determine when big data technologies may provide benefits over traditional data management approaches.