Useful Data Tips

SAS

⏱️ 8 sec read 📈 Data Analysis

What it is: Enterprise analytics platform specialized in pharma validation, financial modeling, government reporting, regulatory compliance.

What It Does Best

Validated workflows. FDA-approved processes for pharmaceutical clinical trials. Documented, traceable, compliant.

Enterprise scale. Handles massive datasets across organizations. Robust, reliable, proven over decades.

Support and stability. Premium support contracts. Backward compatibility. Enterprise SLAs. Critical for regulated industries.

Key Features

SAS/STAT: Comprehensive statistical procedures and methods

SAS/BASE: Data manipulation, reporting, programming language

Enterprise Integration: Connect to any data source, scale to terabytes

Validation: FDA 21 CFR Part 11 compliant for clinical trials

SAS Visual Analytics: Modern BI and visualization tools

Pricing

Enterprise: Custom pricing, typically $50k+ per year

Academic: Reduced pricing for universities

SAS On Demand: Free learning tier (limited features)

When to Use It

✅ Regulated industry requiring validation

✅ Enterprise-scale analytics

✅ Budget supports premium software

✅ Team already trained on SAS

✅ Pharmaceutical clinical trials

When NOT to Use It

❌ Small team or startup (expensive licensing)

❌ Need modern ML capabilities (Python/R better)

❌ Budget-conscious projects

❌ Agile, fast-moving data science

❌ Open source requirement

Common Use Cases

Clinical trials: FDA-validated statistical analysis for pharma

Financial risk: Credit scoring, fraud detection, regulatory reporting

Government analytics: Census data, policy analysis, compliance

Enterprise BI: Large-scale business intelligence and reporting

Actuarial analysis: Insurance pricing, reserving, forecasting

SAS vs Alternatives

vs R/Python: SAS better validation/support, R/Python more flexible/cheaper

vs SPSS: SAS more powerful/scalable, SPSS easier for beginners

vs Stata: SAS enterprise-focused, Stata academic-focused

Unique Strengths

Validation: FDA-approved, documented processes for compliance

Enterprise support: SLAs, training, consulting included

Proven reliability: 40+ years, trusted by Fortune 500

Backward compatibility: Code from 1990s still runs

Bottom line: Gold standard for pharma and finance. Expensive but trusted where compliance matters most.

Visit SAS →

← Back to Data Analysis Tools