.svg){kind=small}
.svg){kind=small}
.svg){kind=small}
.png)
Complete the form below to get instant access to the SAS Modernization Checklist
By providing information in this form, you agree to Next Pathway’s Privacy Policy
SAS estates hide business logic several macro calls deep, and span six interdependent layers that all have to move together. This checklist walks the three phases that get you there — map the estate, define your data products, then build and certify across all six layers.
Our SLMs extract logic buried in nested macros, catalog SAS7BDAT dependencies and hardcoded libnames, and map transformation logic down to the column. Full lineage means downstream reports don't break.
Historical utilization logs determine what gets rationalized. Redundant and dead jobs flagged for retirement, the rest scored against real usage, with schema and consumption patterns defined for each product.
Data access, transformation, models, reporting, scheduling, and governance — each layer rebuilt on its modern cloud-native equivalent, validated independently, then tested end to end.
Lines of code translated automatically
Enterprise modernizations completed
Faster time-to-market for AI-ready infrastructure
A global luxury brand modernized IBM DB2, SQL Server, Cognos Data Manager, and Talend to Snowflake and DBT in just 12 months, creating a scalable foundation for analytics and AI.
Read the case study to see how Next Pathway delivered:
.png?width=1920&height=1080&name=Modernizing%20a%20Global%20Luxury%20Brand%E2%80%99s%20Data%20Platform%20From%20IBM%20DB2%20%26%20SQL%20Server%20to%20Snowflake%20%26%20DBT%20(1).png)
Download the case study to see how a global luxury brand accelerated its migration to Snowflake and DBT and established a modern foundation for analytics and AI.
.webp)
ENDERLE GROUP
.webp)
THE BLOOR GROUP
Global Financial Firm Modernizes with Snowflake Migration.
Thinking beyond migration?
We help you modernize your data platform, end to end.
.svg){kind=small}
.svg){kind=small}
.svg){kind=small}
