The integration of federated datasets represents a transformative approach to data management, offering solutions to prevalent challenges and fostering efficient, transparent, and collaborative data ecosystems. This paper delves into the application of federated datasets within the electric power sector, with a specific focus on enterprise profiling. Traditional data management systems often suffer from limitations such as data fragmentation, accessibility barriers, and lack of integration with business processes. Federated datasets address these issues by enabling the integration of diverse data sources while maintaining data privacy and security. This allows for a unified and holistic view of data, facilitating more accurate analysis and informed decision-making. In the context of enterprise profiling in the electric power sector, federated datasets play a crucial role. By integrating data from various sources like smart meters, grid sensors, and enterprise systems, federated datasets provide comprehensive and accurate profiles of organizations. This enables utilities and energy providers to tailor services, optimize energy distribution, and support sustainability initiatives. The paper outlines a systematic methodology for the design and implementation of federated datasets tailored for power grid operations. It presents a framework for data quality governance, ensuring the integrity and utility of the data. Additionally, the paper highlights the benefits and best practices for deploying federated datasets in enterprise profiling within the electric power sector, ultimately paving the way for more efficient and sustainable energy management practices.