NA SAS Migration Services from Noranalytos

Legacy SAS environments have become increasingly unsustainable due to their high operational costs, limited scalability, and challenges in integrating with modern BI tools. NA SAS Migration Services, designed to provide professional services that assist customers in migrating SAS datasets to AWS Cloud. We utilize our proprietary accelerator to ensure a seamless and efficient migration process, supported by our services. The proposed solution includes converting SAS code to cloud native workflows, creating domain oriented data lakes, and enabling generative BI capabilities using NA SAS Code Converter. By adopting this approach, organizations can modernize their data infrastructure, streamline analytics pipelines, unlock advanced AI/ML insights, and achieve significant cost savings, ensuring their competitive edge in today s data driven economy. Introduction In today rapidly evolving digital landscape, businesses must modernize their IT infrastructure to remain competitive. Legacy systems, while reliable in the past, now hinder agility, scalability, and innovation. Among these, SAS based environments pose challenges due to their high operational costs, rigidity, and inability to scale for modern analytics demands. Organizations increasingly recognize the need to transition to cloud native architectures that offer flexibility, scalability, and cost efficiency. Cloud migration provides the foundation for implementing advanced analytics and generative BI tools, enabling businesses to derive real time insights and enhance decision making. Problem Statement Organizations reliant on legacy SAS environments face significant challenges in maintaining operational efficiency and competitiveness in a rapidly evolving digital ecosystem. These issues stem from outdated infrastructure, escalating costs, limited scalability, and difficulties integrating with modern data and analytics tools. Below, we explore the core challenges in detail Aging Infrastructure and Its Limitations Legacy SAS systems, built on traditional on premises infrastructures, lack the agility required to support dynamic business needs. These environments are often constrained by Outdated Technology Limited support for modern analytics capabilities such as AI and machine learning, Generative BI. Static Architectures Inability to scale efficiently with increasing data volumes or user demands. High Operational Costs SAS workloads impose considerable financial burdens on organizations, including Licensing Fees Expensive contracts for proprietary software usage. Infrastructure Maintenance Operational Costs of maintaining aging hardware and data centers. Skilled Resources Dependence on niche expertise for SAS programming and troubleshooting. Data Silos and Fragmentation Legacy SAS environments often lead to the creation of isolated data silos, making it difficult to achieve unified views of data for analytics. Collaborate effectively across departments and teams. Extract meaningful insights from fragmented data sources. Limited Integration with Modern BI Tools Traditional SAS systems are incompatible with modern, cloud native BI solutions that enable Generative BI Realtime, AI powered analytics for faster decision making. Predictive Modeling Advanced forecasting capabilities powered by machine learning.