Smart electrical transmission and distribution grids are seen as key facilitators of the industry innovation that are required to meet the challenges of de-carbonization, operation performance excellence, and consumer centricity. Electricity grids represent a complex system of systems with intense interactions between them and require the collection of large amounts of data from a variety of sources to improve the energy ecosystem operation. In this paper, we describe an IBM framework that combines industry standards and advanced technologies-including analytics, mobile, and IoT (Internet of Things)-to meet the smart grid industry challenge. The Smart Grid Architecture Model (SGAM) and accompanying standards are used as a reference to ensure the openness, loose coupling, and flexibility of the framework. A consolidated and standardized data model bridging traditional utility silos is essential for analytics in this framework and represents a canonical model for integration. While offering advanced service-oriented architecture and application-programming interface integration concepts, the framework allows for retention of traditional utilities' legacy applications, preserving investments made. The framework permits for mix-And-match of the flexible building blocks linked by industry standards, promoting an incremental deployment of services as per utility needs.