“Big Data” has become something of a watchword in the corporate world, and a “the more the merrier” attitude has influenced utilities’ attitudes toward the amount of data they collect. Because AMI/AMR and SCADA can gather large amounts of information, many assume they should save all of it. However, this is an expensive proposition, and there’s no guarantee that the data may be stored or structured in a format that allows for future use. This paper focuses on information engineering methodologies that aid personnel in selecting which data to keep and how to keep it. Specific power-related topics covered include networks, kWh, and voltage.