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Delfin's unstructured data management platform enables adaption to climate change challenges by instantly organizing adaptation project data and returning answers to questions.
About
Optimal business performance in technical sectors requires analysis of organized data, but the data that companies need tends to be scattered across and buried within large bodies of unstructured textual files. Built and trained on more than 20 years of energy industry data, Delfin's text analytics platform can automatically fill tables with data pulled from across these files. The logical models used in determination of which data is relevant is based on leading edge natural language processing and machine learning methods. Delfin's platform is also capable of finding specific answers to nuanced technical and business intelligence questions by matching the intent of the question to the intents of passages across the unstructured textual files. The platform as a service is currently used by multiple oil and gas supermajors as they explore the economic effectiveness, environmental impact, and operational efficiency of new technologies.
Key Benefits
Reduction in the time requirements and human error associated with carrying out data organization and analytics efforts within regular workflows, faster resolution of time sensitive critical issues, more comprehensive data availability for lookbacks and optimization efforts, elimination of redundant workflow efforts, and optimized e-discovery and project diligence.
Applications
The Delfin platform has been used to resolve technical issues in oil refining to meet new more stringent environmental regulations, to ensure consistency in reports to new energy technology project stakeholders, to evaluate historical appraisal of energy resources in various geographic areas, to discover opportunities for process efficiency improvements, and to identify ideal service providers from expenditure track records.