Energy companies are under extreme pressure to reduce their carbon footprint. Failure to do so could cost businesses billions in fines and shareholder value. Global regulations require companies to take corrective measures to reduce their greenhouse gas emissions across the entire value chain. Corrective action goes beyond reporting and must include real-world visibility into the data relationships between operations, production, equipment, maintenance, safety, sensors, vendors, and innovation. This session will demonstrate how Neo4j Graph Data Platform is well suited for building these digital twins because of its ability to unify and analyze complex hierarchical data from disparate legacy and real-time sources.