Leveraging Altair's SLC
ProCogia is proud to partner with Altair, utilizing their Altair SLC (SAS Language Compiler). Altair SLC is a key part of our strategy to assist customers in transitioning from legacy SAS systems to versatile, modern platforms, providing various pathways to reduce risk due to reliance on costly SAS Institute licenses.
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Effortless SAS Language Execution
Altair SLC allows programs written in SAS language to run without any need for translation or third-party products and licenses. Its robust support for Python, R, and SQL, combined with the capability to integrate program modules from these languages, makes it an ideal solution for major migration projects while maintaining existing SAS language program libraries at a reduced cost.
Comprehensive SAS Language Support
Altair SLC’s SAS language compiler supports SAS language and macro syntax, including procedures for statistics, time series analytics, operational research, machine learning, matrix manipulation, graphing, and output delivery. SAS users love their macros for the same reason R developers love their functions. Essentially they serve the same purpose: automate efficient workflows that are less prone to errors. The transition to writing good R functions can be easy and we help you get there.
Seamless Deployment
Altair SLC users can easily deploy the platform and its associated software packages within their environment. Our code analysis tools can analyze thousands of SAS language programs, and our expert team will guide you through the complete migration process, from assessment to proof of concept to rollout. We ensure compatibility for program files stored on mainframes, servers, in the cloud, or on local machines.
Data Sources & Deployment Options
Altair SLC provides access to virtually any data source, including cloud services, Hadoop, data warehouses, databases, SAS language, SPSS, Microsoft® Excel®, CSV, and other file-based data formats, without limitations on data volumes. Whether using Altair SLC in batch or standalone mode to execute programs and models, or leveraging VSCODE or Posit Workbench, you can create, maintain, and execute your analytics projects with unique visual workflow development and coding facilities while future proofing your SAS Migration program.
SAS Migration Workflow
At ProCogia, we specialize in guiding teams worldwide through the transition from legacy SAS systems to modern, open-source R and Python platforms. Our approach is client-centric, addressing the unique analytics requirements of each organization. This transition is more than just a technical shift; it involves a comprehensive assessment of existing analytic processes, followed by a tailored migration plan that adheres to industry best practices. These practices include utilizing version-controlled code repositories, establishing robust testing systems to ensure accurate migration, and optimizing R/Python processes for specific analytic needs, along with providing extensive staff training and support.
The process starts with a detailed assessment of an organization’s analytic needs. We thoroughly evaluate current statistical and reporting routines, understanding the breadth of services offered by SAS, including data management, advanced statistical analysis, and business support. Our goal is to replicate these services efficiently in R and Python, tailoring requirements, and libraries to streamline processes.
A critical aspect of our assessment is the end-user experience. The transition involves more than simply translating SAS code; it is about replicating processes to minimize disruptions. For instance, if SAS programmers frequently export reports to Excel, our R and Python solutions will ensure identical outputs.
Furthermore, we review IT resources dedicated to SAS and propose R and Python-based alternatives, such as recommending an R server environment that mimics the benefits of SAS servers at a reduced cost and with enhanced capabilities. Organizing the code repository is another crucial step. We ensure all source code is managed within a version-controlled environment. Our developers can also create Shiny dashboards (for R) and similar interactive applications (for Python) to help clients monitor progress in large-scale migrations.
Unit testing and code evaluation in R and Python are tailored to each project. We aim to demonstrate that R and Python processes yield the same results as the original SAS procedures. Differences in results, often due to software idiosyncrasies or statistical method variations, are discussed with project owners to define a successful migration’s precision and accuracy. Directly translating SAS macros into R or Python often leads to inefficient code. Our teams focus on reproducing the results of source macros while leveraging the strengths of R and Python, ensuring maintainability and efficiency.
Addressing the learning curve associated with R and Python is vital for a successful transition. We offer comprehensive training and support to ensure all users are comfortable with both languages, supplementing their knowledge with workshops and specialist sessions tailored to specific needs.
Testimonials
“I am happy with ProCogia’s perfect project execution and flexibility so far. While the collaboration continues, I am impressed by the team’s deep understanding of RStudio and data science pipelines and workflows.”
MDRC
Chief Information Officer
“ProCogia’s work is very detailed, a good number of their prototypes have been implemented. They love working with the data. They understand the problem statement from the beginning.”
T-Mobile
Senior Manager
“ProCogia offered a flexible and transparent partnership. Their project management was very good, and the team delivered consistently.”
Microsoft
Director
“I am so pleased to have finally found a data partner that supplies high quality data science consultants consistently.”
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Director
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