The maritime industry has always been complex, with various players involved, from charterers to shipowners and operators. In fact, the efficiency of operations in maritime easily reaches a five- or six-digit dollar worth in direct costs, together with more and more strict sustainability and environmental regulations, define a need for a modern, reliable and consistent operations management. Emerging level of connectivity, big data processing and big data analytics has brought about an opportunity to streamline it in the maritime industry. This is where Opinov8 comes in re-architecting an existing integrated data platform that helps charterers, shipowners, and operators to make smarter decisions based on intelligent insights derived from reliable data.
The client's platform provides a unified ecosystem that consolidates both owned and third-party maritime data powered by machine learning. Specifically, the platform helps reduce fuel costs, improves vessel performance, and aids in monitoring and reducing greenhouse gas emissions. Despite offering significant benefits to stakeholders, to respond to never-ending improvement demand, a next level of data governance was required, besides other gains, capable of streamlining standalone applications and services from the mergers and acquisitions. Heavy loads of data of different natures required data integration, timely availability, processing time, and consistency.
To address these issues, the Opinov8's team facilitated a set of Discovery Workshops that aimed to re-architect the client's data platform towards a cloud-based data processing solution, focused on the determined business and architectural drivers. Opinov8's team used rapid prototyping as the first milestone to achieve the unification of the cloud platform to Azure. This approach helped prove the concept and enabled seamless data migration.
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The solution provides rich operational and analytics data to make data-driven decisions. Reliable cloud-based architecture in Azure enables seamless integration of all data coming from 50,000 vessels globally and 7 million sensor readings daily. Enhanced data quality mechanism ensures data consistency and medallion architecture provides the right data for the right recipients, including the Machine Learning engine.
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Opinov8 specializes in creating customized services that enable businesses to make informed decisions based on data. We tailor our approach to meet each client's unique needs, ensuring effective and efficient solutions.
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Opinov8 is proud to announce our recent accreditation as an Amazon ECS Partner. This accolade marks Opinov8 as one of only 37 global partners to have received this esteemed recognition from Amazon Web Services (AWS).
Opinov8 is proud to announce our recent accreditation as an Amazon ECS Partner. This accolade marks Opinov8 as one of only 37 global partners to have received this esteemed recognition from Amazon Web Services (AWS).
Meet Menna, Opinov8 Manual QA Engineer. She tells about how to start a professional career in IT, be a woman in Tech, and how important continually expand skills and learn something new whatever you do.
Meet Menna, Opinov8 Manual QA Engineer. She tells about how to start a professional career in IT, be a woman in Tech, and how important continually expand skills and learn something new whatever you do.
