Decision-Driven Data Management

Data-driven decision making exists at the intersection of data quality and decision quality. This paper examines the variables that can disrupt data-driven decision making, such as time, big data, pattern recognition, human biases, intuition and errors and it explains how strategies that leverage data quality and data governance result in better business decisions.

Sponsor: SAS