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SAS MODERNIZATION
FROM MONOLITHIC SAS SPRAWL TO GOVERNED
DATA PRODUCTS
Unlock the full potential of your historical data by migrating monolithic SAS footprints directly to modern cloud architectures. Next Pathway isolates, deconstructs, and automatically refactors complex SAS macros, datasets, and custom routines into clean, model-ready code optimized natively for your target platform.
SAS MODERNIZATION
FROM MONOLITHIC SAS SPRAWL TO GOVERNED
DATA PRODUCTS
DOWNLOAD FREE SAS MODERNIZATION CHECKLIST
The Enterprise Checklist for a Faster, Smarter SAS Modernization Journey.
Built for Clarity
Our SLMs move every layer of your estate automatically, from initial scan to final cutover.
Map
Automatically crawl your entire SAS ecosystem to extract complex business logic hidden inside nested macros and map column-level data lineage.
Data Product Definition
Utilize our proprietary SLMs to evaluate historical SAS utilization logs, automatically determining which scripts and hardcoded libraries should be rationalized into modular data products.
Build
Automatically generate clean cloud execution blocks, run automated technical testing against synthetic datasets to ensure analytical parity, and push code into your target CI/CD pipeline.
The Foundation
Next Pathway utilizes proprietary Small Language Models (SLMs) to deconstruct legacy SAS environments, converting rigid computational workflows into modular, scalable cloud data architectures.
Modernization in Motion
Our proprietary SLMs continuously map usage and lineage to isolate your highest-value workloads, refactoring them into certified, reusable data products: Customer 360, Risk & Compliance, and Operations.
OUTPUT TYPES
Customer 360
Consolidates tables, views, feeds, and schemas scattered across CRM, billing, and support into one governed view.
Risk & Compliance
Reconstructs ETL jobs, scripts, and stored procedures into auditable, lineage-tracked reporting.
Operations
Streamlines fragmented reports, marts, and batch jobs into one operational source of truth.
PLATFORM COVERAGE
How We Modernize Any SAS System
Legacy platforms are comprised of six deeply coupled infrastructure layers. We isolate and deconstruct each layer to engineer a native, optimized deployment on your target platform.
Data Access
We eliminate proprietary .sas7bdat file dependencies and hardcoded libnames, transitioning your storage layer to modern cloud ingestion tools like Fivetran, Airbyte, and Snowpipe.
Language & Transformation
Monolithic SAS Data Steps and custom macro variables are systematically refactored into optimized Snowflake SQL and Snowpark Python.
Analytics & Models
Statistical modeling procedures, analytical scoring logic, and mathematical procedures are cleanly ported to collaborative modern cloud environments like Dataiku DSS, AutoML, and MLOps registries.
Reporting & Visualization
Legacy SAS Output Delivery Systems (ODS) and static reporting layouts are re-engineered into dynamic, live data workbooks on Sigma.
Scheduling & Orchestration
Opaque batch processing scripts and sequential cron-driven workflows are unpicked and reconstructed into modern, cloud-native automated workflow orchestrators like Apache Airflow.
Security & Governance
Fragmented, script-level security parameters are decoupled from the data pipeline and centralized into unified cloud governance frameworks utilizing role-based access controls (RBAC) and dbt semantic layers.
Our proprietary SLMs handle it all, from routine patterns to the hardest, most ambiguous legacy logic, turning every layer into an AI-ready foundation.
Choose Your Path
Lift the entire estate to a modern cloud platform, with 1:1 parity proven before cutover.