Data Vault is a database modelling method designed to withstand unforeseen changes in a business. One of the ways it does this is by capturing all of a business’s data so that it can be available if and when needed in the future.
This “single version of the facts” differs from models that “cleanse” data in hopes of achieving a “single version of the truth“.
Dan met with a few of Auckland’s analytics professionals last evening, and spoke about the DV methodology as well as telling a few “war stories”.
For an example of Data Vault 2.0 used in New Zealand, see our case study covering Stellar’s work with smart-meter company Metrix.
Pictured: Stellar’s Craig Larmer (L) and Chris du Toit (R) with Dan Linstedt