Operators’ data architecture has a major influence on their data governance strategies

Data architecture and data governance are distinct yet interdependent components of an operator’s overall data strategy. It is important that operators and their vendor partners have a clear understanding of how the interplay between these two components enables operators to develop effective AI strategies. This article identifies the most employed data architectures and explores how each interacts with an operator’s data governance toolsets and strategies.