2 min read

Where is used SAS?

SAS is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.
Where is used SAS?
IndustryUsage
PharmaceuticalStatistical Analysis, Reporting
TelecomETL, Reporting, Data Mining, Forecasting
FinancialsETL, Reporting, Data Mining, Financial research
Predictive modelingDBMarketing, Activity-Based Management
HealthcareETL, reporting, Data Mining

Advantages of SAS

  • SAS has an easy syntax that can be learned without any type of programming knowledge
  • Ability to handle a large database with ease
  • SAS is a very comprehensible language that can easily be debugged
  • Its “log” window clearly states the error which helps you to debug your code easily
  • SAS helps you thoroughly test and analyze the algorithm
  • SAS is completely secured so you can’t extract without a license in the office
  • Makes statistical computing easier for the non-programming users
  • Handles large size databases effectively.

Disadvantages of SAS

  • Cost is high because individual or organization can’t use it all applications without a proper license
  • SAS is not open source so, algorithms used in SAS are not available for common use
  • Text mining is a very troublesome and difficult process in SAS.

Summary

  • SAS software meaning Statistical Analysis Software which is used for Data analytics
  • R and Python are two widely used alternative tools of SAS.
  • SAS was developed by Jim Goodnight and John Shall in1970 at N.C. University
  • SAS allows you to access raw data files & data in an external database of any kind
  • SAS architecture is divided mainly into three parts 1)Client Tier 2) Middle Tier 3) Back tier
  • To use SAS software you need to follow four steps which are: 1)Access Data, 2)Management 3) Analyze Data, 4) Presentation
  • SAS Program consists of three basic steps: Data Step, Proc Step, and Output Step
  • SAS data analytical tool is widely used in sectors like Pharmaceutical, Telecom, Financials, Predictive modeling, and Healthcare
  • SAS is commercial software while R is an open source software
  • The biggest benefit of the SAS programmer tool is that it has an easy syntax that can be learned without any type of programming knowledge.
  • One of the drawbacks of the SAS model is that it is not an open-source tool. So, algorithms used in SAS procedures are not available for common use.
SAS Tutorial for Beginners: What is & Programming Example
SAS (previously “Statistical Analysis System”) is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive anal
https://www.guru99.com/sas-tutorial.html#13

#probyto #probytoai #datascience #machinelearning #python #artificialintelligence #ai #dataanalytics #data #bigdata #deeplearning #programming #datascientist #technology #coding #datavisualization #computerscience #pythonprogramming #analytics #tech #dataanalysis #iot #programmer #statistics #developer #ml #business #innovation #coder #dataanalyst

Subscribe and follow us for latest news in Data Science, Machine learning, technology and stay updated!

Facebook: https://facebook.com/probyto
Twitter: https://twitter.com/probyto
LinkedIn: https://linkedin.com/company/probyto
Instagram: https://instagram.com/probyto