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Smart Transformation with GenAI

SAS Migration

Competent. Independent. Your trusted advisor. We accompany you on your migration path from SAS OnPrem to the cloud - step by step.
Learn how we can support you in this process. Migrating or modernising your SAS environment offers the opportunity to strategically reduce licensing and operational costs, automate processes, and establish a powerful, scalable, modern infrastructure—whether in the cloud or on-premises. Stay competitive with a partner who understands your challenges.​

Have you decided to migrate?
Take a look how we can support you.

Why Migrate SAS Now?

Leverage the advantages of modern technologies for your data management, reporting, and cutting-edge analytics. The time for change has come.​
End of Further Development
Future updates for SAS 9.4 will be limited to maintenance releases—take timely action.
Cost Efficiency
Reduce your operational costs through scalable cloud solutions and increased automation.
Innovative Platforms
Modernise your infrastructure and benefit from powerful analytics platforms from SAS, Microsoft, AWS, or the integration of open-source solutions.​
Regardless of your current environment—be it SAS 9.x on-premises, in the cloud, or SAS Viya—we assist you in transitioning to the platform that best suits your requirements. Various migration paths are available for this purpose:
Learn more about suitable migration strategies and find the best solution for your company.
Initial Consultation
Our Approach

Our Services for SAS Migration—Flexible and Modular

Not every company has the same requirements. Therefore, we offer two approaches:
Complete Project
We handle the entire project—from planning to implementation.
Send Project Inquiry Now
Modular Approach
You selectively choose the modules your migration project requires.
Module A: Analysis & Planning
System analysis of your existing SAS environment​
Development of a tailored migration strategy
Module B: Infrastructure Setup
Establishment of a scalable, cost-efficient, and high-performance infrastructure in the cloud
Setup of Kubernetes clusters for SAS Viya or configuration of a cloud architecture for the necessary services when migrating away from SAS
Robust setup using Infrastructure as Code (IaC)​
Module C: Automated Code Migration
Automated code migration and process optimisation
To SAS Viya: Conversion of SAS programs to UTF-8
To Open Source: Translation of the codebase into a previously defined target framework (e.g., selection of libraries, programming guidelines, etc.)
Pre- and post-validation of the translation

Our GenAI-supported tools, such as SAS2Python and SAS2R, enable automated, precise migrations of your SAS programs

Automated by GenAI
Module D: Data Migration
For example, migrating data to new databases or storage formats​
Conversion from SAS7BDAT to formats like Parquet
Integration of (new) data sources​
Module E: Configuration and Automation
Platform configuration (e.g., access rights, version control, auto-scaling, security, etc.)
Scheduling
Establishment of CI/CD processes
Module F: Hypercare and Maintenance
Ensuring ongoing platform operations​
Hypercare support for a seamless introduction​
Module G: Enablement
Training your teams in new programming languages, environments, and technologies
At HMS, we offer everything from a single source—whether a complete package or targeted support. You receive exactly the solution you need.
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SAS Migration Made Easy: Tips & Tricks in Focus

Our guides are based on insights from numerous customer projects and help you strategically plan your migration, avoid common pitfalls, and build a future-proof data infrastructure.

Step 1 – Starting with the Assessment Guide

Before embarking on the migration journey, it's essential to thoroughly analyse your current SAS environment. 
Our assessment guide assists you in creating a solid foundation for a successful migration. The guide provides a clear structure on how to define requirements, frameworks, and initial steps:
Determining the "what" and "why" for your IT modernisation​
In a complimentary initial consultation, we go through the guide together and provide you with an initial orientation for your project.
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Step 2 – Our Recommendations for Your Migration Project

After successful preparation through the assessment, it's time to plan the execution of your SAS migration. 

Our migration recommendations provide you with concrete guidelines: for project planning, budget control, stakeholder management, and technical implementation.​
Defining the framework for your IT transformation
Lay the foundation for a successful migration with a well-thought-out project setup.​
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Your Advantages with HMS as Your SAS Migration Partner

Choose HMS for a worry-free SAS migration:​
6,000+ Project Days
Deep SAS expertise combined with modern cloud technologies​
All Required Skill Profiles
SAS Experts, Cloud Architects, Migration Engineers, Data Engineers, Project Leads, Business Analysts
Innovation Through GenAI
Automated code migration possible with our GenAI tools like SAS2Python or SAS2R
Customer-Centric Approach
Individual migration strategies—precisely tailored to your requirements​
Sustainability
Long-term partnerships for sustainable cost optimisation​
With over 35 years of experience in data and software migration, we guide you step by step - ensuring a seamless transition and long-term success.
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Our Partners

Technology Alliances for Your Migration Success

As a certified AWS and Azure partner, we offer solutions that are perfectly aligned with your IT strategy. Our expertise in setting up cloud architectures and the Kubernetes cluster required for SAS Viya ensures seamless integration, high scalability, and efficient resource utilisation.
With over 35 years of experience in data and software migration, we guide you step by step—ensuring a smooth transition and long-term success.
Amazon Web Services
Advanced Tier Services Partner
Microsoft
Designation Partner
SAS
Gold Partner

FAQs – Answers to Your Questions

The translation tool is a Python implementation and is operated by HMS consultants as an expert tool in the migration project. It is usually installed on development environments at our customers (Python runtime required) and executed there.
No, it is not a "program sent in the prompt to a GenAI model and it generates a direct translation" approach. Since code migration involves aspects beyond the actual translation, such as defining the code structure in the new language, selecting libraries and frameworks, integrating custom code, or possibly switching to other process structures, this program approach is not optimal for migrating large codebases. 

We model the migration process as a complete migration of a codebase in various steps. This allows us, for example, to make adjustments to these files even during an ongoing code translation (e.g., 50% of the programs have already been migrated)—such as if a code structure or library needs to be replaced or additional comments need to be inserted. 

GenAI is used in many sub-steps, especially where there is high complexity in individual code sections within the codebase. However, for cost-efficiency reasons, simple "IF" constructs are not translated via GenAI.
No, we individually address our customers' existing system landscapes and carry out a migration according to their requirements. We are happy to advise our customers on what we consider to be obvious and efficient migration paths and bring best practices, standards, and templates, if available.
Learning from Practice

Our Success Stories

Discover more about the SAS migrations we have developed in various customer projects. The examples demonstrate how our tailored solutions make companies more successful and bring digital transformation to life.​

Automated Data Pipeline to Optimize CRM Strategy

HMS developed a scalable ELT pipeline to ensure daily updates of customer data. This solution provides real-time analytics through a dashboard, supporting business decisions across more than 40 countries.

Customer Benefits:

  • Daily Data Updates: Fresh data is available every day to enable precise CRM decisions.
  • Reduced Manual Effort: Automated processes save time and minimize errors.
  • Scalable Solution: The architecture can be seamlessly expanded to meet future requirements.
Case Study anschauen

Long-term SAS support for IT department of a banking group

Finance

Since 2006, HMS has supported the regulatory reporting departments of a large German banking network with SAS expertise and comprehensive know-how. We provide ongoing consultation, performance optimisation, and customised solutions for regulatory requirements.

Benefits:

  • Qualitative improvement of legacy resources
  • Enhanced software and data quality
  • Performance optimization
  • Daily support
Case Study anschauen

SAS Viya migration at automotive bank

Banking

We successfully migrated our client's SAS platform from on-premises to SAS Viya on Azure. We built a cloud infrastructure with Kubernetes and implemented migration and automation tools.

Benefits:

  • On-time fulfillment of all requirements
  • Modern work environment
  • Ensured operational readiness (OpsReadiness)
Case Study anschauen

Validated R environment for analysis of clinical studies

Life Science, Healthcare

Pharmaceutical companies increasingly use the R programming language for planning and analysing clinical studies. Our validated R environment enables the use of modern statistical methods while meeting the high regulatory requirements in a GxP setting.

Benefits:

  • Reduced licensing costs by replacing standard software
  • Use of modern statistical methods
  • Exploratory work in compliance with regulatory requirements
Case Study anschauen
Eine digitale Erdkugel schwebt über einem modernen Arbeitsplatz mit Laptop, Maus, Brille und Schreibutensilien

Perfect Execution: Migration to SAS Viya

Energy Supplier

A leading energy supplier migrated critical systems from SAS 9.4 on-premises to the cloud-based SAS Viya platform. HMS optimised the infrastructure for stable operations.

Benefits:

  • Efficient migration
  • Low-maintenance user environment
  • Long-term support by HMS
Case Study anschauen
Eine digitale Erdkugel schwebt über einem modernen Arbeitsplatz mit Laptop, Maus, Brille und Schreibutensilien

Global BI

Medical Technology

BioHorizons Camlog collaborated with HMS to develop a robust data warehouse and Power BI model. This now enables efficient and reliable reporting.

Benefits:

  • Efficient data integration
  • Enhanced analytical capabilities
  • Global decision-making
Case Study anschauen

Sales Analytics Platform

Consumer Health

Bayer Vital integrates top-tier customer management with modern technologies to quickly respond to changing market demands and differentiate itself from competitors. By leveraging analytical potential, the knowledge lead is further expanded, enabling data-driven measurement, optimisation and control of sales and marketing processes in the sales channels.

Benefits:

  • Rapid response to market changes
  • Differentiation from competitors
  • Data-driven optimization of sales and marketing processes
Mobile App und Cloud Backend: Hände, die ein Handy bedienen, an einem modernen Arbeitsplatz. Das Bild ist überlagert von leicht transparenten digitalen Schaltkreisen im Stile einer Flowchart.

Laboratory in a pocket: data-driven decisions

Medical Technology

HMS developed a modular software solution for trinamiX, comprising a mobile app, a cloud backend, and a web-based customer portal. This solution enables real-time transmission and analysis of sensor data from an infrared detector device.

Benefits:

  • Optimised data management processes
  • Seamless integration of sensor data into the cloud
  • Real-time analysis and predictions
Case Study anschauen

GenAI-Supported Transformation: Migration from SAS to AWS

Finance

Our solution contributed to the modernization of core SAS BI landscapes by successfully facilitating the transition to the cloud. We effectively used GenAI for automated code migration to Python.

Benefits:

  • Long-term cost-effectiveness and efficiency of BI applications
  • Architecture meets BaFin requirements
  • Process optimization through consolidation and professionalisation of processes
Case Study anschauen

LLM-Based Natural Language SQL Queries

Healthcare / Life Science

Our solution enables natural language SQL queries through a chatbot interface, allowing users without technical expertise to access corporate data.

Benefits:

  • Democratised data access
  • Increased efficiency
  • Informed decision-making
Case Study anschauen

Analysis of Free Text Data Through Automated Content Tagging

Healthcare / Pharma

Our solution for tagging and structuring content transforms previously untapped free text data into valuable, analysable information, thereby enhancing the data foundation within companies.

Benefits:

  • Faster classification, evaluation, and structuring of data
  • Expansion of the data foundation
  • Informed analysis and decision-making
Case Study anschauen

Large-Scale RAG System for Efficient Information Retrieval

Chemicals

Our system allows researchers to accurately search a vast amount of internal research data using natural language, enabling them to quickly obtain the necessary information.

Benefits:

  • Enhanced search quality
  • Optimal user guidance
  • Increased user trust
Case Study anschauen

Automated Competitor Analysis for Strategic Decisions

Healthcare

Our tool automates the collection and analysis of competitor information using large language models, enabling companies to respond more accurately to market changes.

Benefits:

  • Time savings through automation
  • Data-driven decision-making
  • Fast, interactive data analysis

Case Study anschauen

Enhancing the Customer Journey in Online Sales

E-Commerce

HMS optimized the customer journey for Verivox in the online sale of complex products through detailed data analysis and evaluation of various touchpoints and methods.

Benefits:

  • More precise budget allocation
  • More efficient distribution of marketing resources
  • Improved sales success
Case Study anschauen

Innovating Clinical Research: AI for Secondary Clinical Data Analysis

Healthcare / Life Science

We supported Novartis in exploring the potential of machine learning in clinical research. By analysing study data with machine learning and explainable AI, we identified unknown correlations and improved the predictive power for treatment outcomes and safety profiles.

Benefits:

  • Discovery of unknown correlations
  • Improved prediction of treatment outcomes
  • Optimised identification of critical features through explainable AI
Case Study anschauen

Cloud-native Statistical Computing Environment

Life Science / Pharma

HMS replaced a 25-year-old central SAS-based system with a modern, cloud-native Statistical Computing Environment (SCE) for analyzing clinical studies for Germany's largest pharmaceutical company.

Benefits:

  • Integration of the SCE web app with SAS Studio under SAS Viya for seamless workflows
  • System design with AWS services for optimal data security and access
  • Automated validation strategy to simplify regular release deployments
Case Study anschauen

Long-term SAS support for IT department of a banking group

Finance

Since 2006, HMS has supported the regulatory reporting departments of a large German banking network with SAS expertise and comprehensive know-how. We provide ongoing consultation, performance optimisation, and customised solutions for regulatory requirements.

Benefits:

  • Qualitative improvement of legacy resources
  • Enhanced software and data quality
  • Performance optimization
  • Daily support
Case Study anschauen

SAS Viya migration at automotive bank

Banking

We successfully migrated our client's SAS platform from on-premises to SAS Viya on Azure. We built a cloud infrastructure with Kubernetes and implemented migration and automation tools.

Benefits:

  • On-time fulfillment of all requirements
  • Modern work environment
  • Ensured operational readiness (OpsReadiness)
Case Study anschauen
Eine digitale Erdkugel schwebt über einem modernen Arbeitsplatz mit Laptop, Maus, Brille und Schreibutensilien

Perfect Execution: Migration to SAS Viya

Energy Supplier

A leading energy supplier migrated critical systems from SAS 9.4 on-premises to the cloud-based SAS Viya platform. HMS optimised the infrastructure for stable operations.

Benefits:

  • Efficient migration
  • Low-maintenance user environment
  • Long-term support by HMS
Case Study anschauen

GenAI-Supported Transformation: Migration from SAS to AWS

Finance

Our solution contributed to the modernization of core SAS BI landscapes by successfully facilitating the transition to the cloud. We effectively used GenAI for automated code migration to Python.

Benefits:

  • Long-term cost-effectiveness and efficiency of BI applications
  • Architecture meets BaFin requirements
  • Process optimization through consolidation and professionalisation of processes
Case Study anschauen

Cloud-native Statistical Computing Environment

Life Science / Pharma

HMS replaced a 25-year-old central SAS-based system with a modern, cloud-native Statistical Computing Environment (SCE) for analyzing clinical studies for Germany's largest pharmaceutical company.

Benefits:

  • Integration of the SCE web app with SAS Studio under SAS Viya for seamless workflows
  • System design with AWS services for optimal data security and access
  • Automated validation strategy to simplify regular release deployments
Case Study anschauen
Karsten Wohlgefahrt
Principal Sales Manager

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