| Shavonne Standifer |
Effective data management is essential for ensuring high-quality analysis and decision-making. SQL is a powerful
language for querying and manipulating relational databases, while SAS offers a suite of advanced tools for data
preparation, statistical analysis, and reporting. By integrating these technologies, organizations can improve data
management, enhance data integrity, and foster collaboration across teams.
By following this technical report,
readers will:
- Use a step by step process to create a dynamic report.
- Learn best practices for writing SQL
queries in SAS using PROC SQL.
- Understand how to use SAS tools for cleaning, validating, and structuring
datasets.
- Discover techniquesfor using PROC Report to create custom reports.
- Gain the ability to maintain
analysis-ready datasets that support data-driven decision-making.Use SAS ODS and Proc SGPLOT to create
data visuals for custom reporting.
This paper provides a general guide to utilizing SQL and SAS programming
to efficiently create, manage, and maintain analysis-ready datasets. Through step-by-step instructions and
real-world examples, readers will gain the skills needed to harness the power of structured query language (SQL)
and SAS for streamlining data processes within their organizations.
Whether you are a data analyst,
researcher, or IT professional, mastering these techniques will enable you to work more efficiently and drive
impactful results |