Digital transformation in oil and gas leverages automation and the end to end digital thread. This in turn improves asset and personnel performance through insights and predictivity, as well as simplifying the process workflow. The challenges with Big Data today involve the immense volume and speed at which data is collected. These data sets are so big in volume that traditional data processing software are unable to manage them. In this session we will address the digital twin concept which can be used for system optimization, predictive analysis, and enhanced performance. Automation lifecycle management, modeling for multiphase flow simulations, and well design using integrated cloud software will also be discussed.