Integrating cutting-edge AWS technology, our AWS Data & Analytics team delivers expert insights to transform your raw data into actionable insights, fostering informed decision-making and strategic business growth. Our comprehensive suite utilizes AWS unparalleled analytics and data management tools, ensuring your data not only supports but also accelerates your business objectives.
Our AWS Data & Analytics services encompass a holistic suite designed to transform your organizational data into a strategic asset. Beginning with a robust data ingestion framework, we meticulously manage the flow of data into your system, ensuring efficient processing and organization. Our approach emphasizes the importance of relational data storage, allowing for structured data analysis and management. Through advanced data governance practices, we ensure your data's integrity and security. Additionally, data cataloging enhances discoverability and accessibility, supporting comprehensive analytics. This holistic strategy empowers your journey towards data modernization and cloud migration, leveraging AWS extensive capabilities to amplify your data's potential, driving data-driven decisions and operational efficiencies.
Seamlessly integrate and manage your data ecosystem, enhancing accessibility and reliability.
Leverage advanced analytics and business intelligence tools to drive actionable insights.
Achieve operational excellence with scalable, cost-effective data solutions.
Prepare your business for the future with scalable and secure data platforms.
Unlock new capabilities and services with Navitas' AWS Data & Analytics integration.
Mitigate risks with predictive analytics and robust data governance.
Navitas and AWS Data & Analytics boost operational efficiency, data management, and decision-making, fostering innovation with predictive analytics and robust data governance. This ensures a secure, agile, and future-ready business environment.
Embrace a modern data mindset that's product-centric and customer-focused, ensuring every data solution is crafted to meet user needs and product outcomes.
Foster a culture where cross-functional teams operate autonomously, embodying a federated yet agile approach to drive innovation and collaboration across the organization.
Invest in purpose-built, flexible, and scalable technology, equipping your business with the right tools to adapt and thrive in the ever-evolving data landscape.
Navitas' structured three-phase approach for migrating Data & Analytics applications to AWS ensures a seamless transition, aligning with your organization's goals. From comprehensive assessment through mobilization to modernization, our method optimizes your applications' journey to the cloud, leveraging AWS powerful analytics capabilities for transformation and growth.
Our assessment begins with an in-depth analysis of your current data and analytics ecosystem. We evaluate the technical and business aspects of your applications, determining which will benefit most from AWS cloud capabilities. This stage lays the groundwork for a migration plan that aligns with your business objectives and leverages AWS advanced analytics services for improved data handling and insights.
With a clear strategy in hand, we proceed to mobilize your data and analytics applications. This phase involves architectural design and the provisioning of AWS resources, such as Amazon S3 for data lakes and Amazon Redshift for data warehousing. Our focus is on establishing a secure, robust, and scalable foundation for your data in the AWS cloud.
The final step is the careful migration and modernization of your applications. By employing AWS data migration services and tools, we ensure a smooth transition that maintains data integrity and minimizes downtime. Once in the cloud, we leverage AWS suite of analytics tools to modernize your applications, making them more agile, cost-effective, and poised for future growth.
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.
View Success Story
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.
View Success Story
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.
View Success Story