
SAS Code Review & Optimisation Recommendations Report
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2 days
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What you get with this Offer
I will review up to 200 lines of your SAS code and deliver a detailed report covering logical errors, inefficient data step patterns, suboptimal PROC usage, macro variable scoping issues, missing ODS output configuration, and deviations from SAS programming best practices — with specific line references and recommended improvements. SAS programs that produce correct output in development frequently contain performance anti-patterns that become critical bottlenecks when run against full production datasets or scheduled in production batch environments.
The review covers DATA step efficiency (unnecessary dataset reads, missing WHERE clause early filtering, unoptimised merges versus SQL joins), PROC SQL correctness, macro facility scoping and quoting, format and informat misuse, missing LIBNAME statements, and ODS destination configuration. Each finding is categorised by severity and impact with a specific SAS code improvement.
This service suits SAS programmers, analysts, and organisations preparing SAS programs for production scheduling, regulatory submission, or performance improvement who want an expert review before committing the code to a production environment.
The review covers DATA step efficiency (unnecessary dataset reads, missing WHERE clause early filtering, unoptimised merges versus SQL joins), PROC SQL correctness, macro facility scoping and quoting, format and informat misuse, missing LIBNAME statements, and ODS destination configuration. Each finding is categorised by severity and impact with a specific SAS code improvement.
This service suits SAS programmers, analysts, and organisations preparing SAS programs for production scheduling, regulatory submission, or performance improvement who want an expert review before committing the code to a production environment.
What the Freelancer needs to start the work
Please share your SAS source files, your SAS version and environment (SAS 9.4, SAS Viya, Base SAS, or SAS Enterprise Guide), a description of what the programs do, typical dataset sizes they process, and any specific performance or correctness concerns.
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