Navitas expertly guides businesses through their journey to AWS Cloud, ensuring a seamless transition that unlocks sustainable growth and innovation. Our Migration Competency team, armed with deep expertise, supports clients in harnessing cloud technology's full potential.
Navitas offers a comprehensive Migration & Modernization service that ensures businesses leverage AWS Cloud's full potential for sustainable growth and innovation. Our approach focuses on cloud enablement, leveraging multi-cloud strategies, and implementing modern data platforms to facilitate digital transformation. Through expert guidance, Navitas aids in reducing operational costs, enhancing security, and ensuring scalable, flexible solutions that meet the dynamic needs of businesses. Our strategy is designed to optimize your cloud journey, emphasizing cloud transformation and digital engineering to drive efficiency and strategic decision-making.
Embrace the pay-as-you-go model, eliminating hefty upfront investments and optimizing costs as your business scales.
Our cloud enablement strategy ensures resources adapt swiftly to demand, enhancing operational agility with multi-cloud and cloud-native solutions.
Benefit from AWS confidential computing and unmatched infrastructure, safeguarding your applications and data against emerging threats.
Automate mundane tasks, freeing your team to focus on strategic initiatives that drive digital transformation and efficiency.
Our specialists provide tailored solutions like data lakes, modern data platforms, and more, as you need them.
Choose from a variety of migration approaches that align with your organization’s unique demands and multi-cloud strategy.
Leveraging Navitas for your migration and modernization projects means gaining a competitive edge through optimized operations and strategic decision-making capabilities.
Navitas' Migration & Modernization strategy is built on a structured approach, beginning with stakeholder engagement to identify strategic goals and compile a catalog of cloud migration use cases. This sets the foundation for creating a comprehensive AWS migration plan, emphasizing cloud engineering and the development of a Cloud Center of Excellence for seamless operations. The process culminates with the careful configuration of AWS environments, ensuring each migration phase is optimized for performance, thereby achieving cloud transformation and maintaining operational excellence throughout. Here is a quick overview of our approach to AWS Migration & Modernization at Navitas.
Initial engagements with stakeholders through exploratory workshops reveal insights into strategic, data-driven initiatives and long-term goals. We compile a detailed catalog of cloud migration use cases, evaluate existing infrastructures, and identify AWS migration components, ensuring alignment with your digital transformation objectives.
Crafting a comprehensive AWS migration plan becomes our focus, aiming to align with your business’s strategic goals. This phase includes the development of a Cloud Center of Excellence to facilitate upskilling and ensure seamless operations amidst stringent security standards. Our approach integrates cloud engineering and management practices to support a smooth transition.
The journey continues with the meticulous configuration of your AWS cloud environment, including modern data platforms and cloud-native microservices. We manage the migration in stages, applying robust monitoring and controls for insightful oversight of cloud operations. Each cycle concludes with optimizations for peak performance, encapsulating cloud transformation efforts that maintain operational excellence.
A federal agency required real-time predictive analytics to enhance its intelligence infrastructure. The Agency had needed to conduct global assessments, evaluate cross-agency data, and provide unified intelligence to coordinate, enhance, identify, and convey changes in special operations. The Agency required assistance in simplifying the coordination of stakeholders for model development, enhancing their processes in feature engineering and training datasets creation, and improving model accuracy. There were also opportunities to implement machine learning for reproducibility, registry, and traceability.
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A large financial services company had a traditional on-premises “one size fits all” data store with after-the-fact analytics, leading to inflexibility to accommodate evolving digital business needs. Lack of in-house data expertise, antiquated analytics tools, and complex batch ETL processes led to missed opportunities. Most importantly, the Company needed an intuitive way of delivering real-time insights for data-driven decision making.
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A leading mortgage provider responds to tips received from customers, law enforcement, and citizens on suspect loans and potential anomalous activity. Investigators responsible for fraud detection tried manually checking applications and analyzing datasets to gauge current mortgage fraud trends related to reported fraudulent activity. The client wanted to automate the fraud assessment process and identify, investigate, and prevent mortgage fraud using cutting-edge technology.
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