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    Analytics Transformation with AWS by Nous

     Info
    Transform data into actionable insights with our Nous Analytics Transformation solution on AWS. Utilizing AWS Glue and Amazon Redshift, we integrate data from various sources, preparing it for comprehensive reporting, analytics, and AI/ML applications. Unlock the power of customer data and drive informed decision-making

    Overview

    Our Nous Analytics Transformation solution on AWS empowers to revolutionize the data landscape. By leveraging AWS Glue and Amazon Redshift as core components, we seamlessly integrate data from disparate sources, ensuring it is readily available for reporting, advanced analytics, and the development of AIML models

    Highlights

    • Make informed decisions using business and operational insights derived from transformed data. • Create new and re-imagine existing offerings to improve customer experiences. • Expedite customer time to market by leveraging the power of transformed data. • Enhance cost optimization and operational efficiency through insightful data analysis. • Utilize tools like Amazon QuickSight to scale resources as needed, gaining intelligence through machine learning and interactive dashboards. • AWS’s AI services offer high-performance algorithms via simple API calls, which helps to fine-tune the existing approach. • Services like Amazon Forecast allow customer to tap into forecasting best practices, while Amazon's neural network models enable pattern learning across large datasets. • AWS IoT Analytics provides pre-built transformations for IoT data, enabling the analysis of large-scale data with auto-scaling and built-in analytics support. • AWS’s Model Monitor service, along with Cloud Watch logging and A/B testing capabilities, offers a robust infrastructure for detecting and correcting model and data drifts. • Build a data pipeline that evolves with changing data formats and schemas, accommodating various source systems and use cases. • Utilize AWS tools to efficiently transform data, regardless of the volume, and avoid creating a data swamp. • Adopt an agile approach to cloud transformation, demonstrating value quickly and adapting the roadmap. • Improve employee productivity through automation while maintaining quality and compliance.

    Highlights

    • Data-Driven Decision Making & AI-Enhanced Insights – Leverage AWS Glue, Amazon Redshift, and Amazon Quick Sight to integrate data seamlessly, enabling real-time analytics, interactive dashboards, and AI/ML model development for smarter decision-making
    • Optimized Performance & Scalability – Utilize AWS AI services, Amazon Forecast, and AWS IoT Analytics to scale resources, automate data transformation, and enhance forecasting capabilities, ensuring operational efficiency and cost optimization.
    • Agile & Future-Ready Data Pipeline – Build a flexible, evolving data pipeline that adapts to changing schemas, prevents data silos, and maintains compliance, enabling a fast, agile cloud transformation journey

    Details

    Delivery method

    Deployed on AWS

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    Custom pricing options

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