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Learn more about EDM for Energy: Alignment with the OSDU™ Technical Standards
The launch of the OSDU Data Platform is an important step in the upstream industry’s efforts to increase interoperability and achieve true digital transformation by eliminating data and technology silos.
EDM for Energy supports this initiative through workflow automation and data management platform.
Upstream organizations of all types and sizes, from majors and NOCs to independents, use EDM to democratize data that comes from disparate sources, translate it into a common form, apply data quality checks and create master records that can be used in all consuming systems and processes.
EDM synchronizes data updates across diverse applications at the project level, ensuring all users are working from the same data. E&P operators realize significant benefits by using EDM to catalogue and deduplicate logs, seismic and other data.
We also provide EDM workflows and APIs to align with the emerging requirements of the OSDU Technical Standards and support upstream companies as the OSDU Data Platform moves into implementation.
EDM’s flexible design and mature approach to data management offer significant benefits for those planning to adopt the OSDU Data Platform.
EDM is data-type-agnostic and data-model-agnostic, which enables operators to quickly leverage the OSDU Data Platform without undertaking complex, time-consuming data manipulation work.
As a low-code / no-code environment, EDM adapts seamlessly to change through simple configuration with no traditional coding required. This enables upstream companies to avoid disruption when new data types are added or as data models evolve within the OSDU Data Platform.
As a mature, feature-rich solution, EDM is widely used to solve complex workflow automation and data management challenges. It can help you achieve your digital transformation and interoperability goals, including the adoption of the OSDU Data Platform.
EDM is available as a managed service hosted on the cloud. This enables operators to reduce implementation times, future-proof their operations and outsource many human resource-intensive tasks.
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