DevOps for DataOps

Abstract

Creating trust in data and trust in users of data minimizes risks. Trust safeguards regulatory compliance, reduces commercial risk, and protects the reputation of the organization. Trust in data also ensures the integrity of data and makes it easier for users to identify and safely consume it. Leandro DalleMule and Thomas Davenport describe this aspect of data strategy as data defense in their famous Harvard Business Review article.1 Data defense is vital, but so too is data offense for a balanced data strategy. Data offense centers on data use to make decisions that increase organizational efficiency, enhance customer experience, and improve product creation.