As the LCOE of renewables continues its downward trajectory, developers and operators are under increasing pressure to maximize efficiency and return on investment amidst growing complexity.
Cognite Data Fusion® enables the renewables industry to reduce costs by better leveraging data & analytics for greater operational visibility and smarter decision-making.
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Develop and scale digital use cases across the renewable value chain from cradle to grave, using Industrial DataOps and a single source of truth.
Remote, decentralized assets require strategic, data-driven asset management to ensure performance and optimize complex maintenance activity involving operators, drones, and robotics.
Deliver industrial digital twins to equip your organization with consolidated views of critical operations for condition monitoring and advanced analytics. Leverage work orders, event logs, and time series data to deliver prescriptive insights with less effort and an improved user experience.
Renewable generation portfolios continue to expand through new development and acquisition, but integration and consistent performance reporting is often challenging due to unique data source systems, instrumentation, and processes that exist across sites.
Improve operational visibility and reporting accuracy across your operations by integrating and normalizing structured and unstructured data with simple access to complex industrial data. Leverage automation, domain data models, and quality monitoring tools to make this data speak human with more context and granularity than before.
Garbage in = garbage out.
Operators need data they can trust to make high-quality decisions. Solutions that improve operations require time series that are of sufficient data quality. With data quality rules, quickly verify that recommendations from analytics models can be trusted.
Use Cognite’s industrial data science library and data profiling features to perform on-the-fly evaluations, no data exports or Excel files required.
Provide easy access to data through pre-established connections to popular solutions and applications, such as Grafana and PowerBI.
Create personalized views of solutions and dashboards organized by areas of focus, such as operations, maintenance, and quality, as well as by functional areas, such as production and engineering.
Offer the ability to iterate and improve KPIs over time through flexible data modeling and adopt a scalable approach to gaining insights.
