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The upstream oil and gas industry is accelerating digital transformation with the creation of a cross-discipline cloud-based platform that will break down existing data silos. This wil make it possible to capitalize on the full potential of analytics, AI and ML to improve the quality of decisions based on a broader use of data. However, the process to migrate, vet and correctly reference the vast amounts of existing and new data is not receiving the same attention. Without standardized data and the resolution of multiple versions of data that currently abound across organizations into a single version of truth, automated processes will not perform reliably, which will impact the validity of analytics and other technologies in pursuit of reliable decisions.