SAS Application | Top 4 Applications of SAS in Different Fields
In this SAS Tutorial, we will discuss the four most popular SAS application in detail. We will also see a brief explanation of the SAS programming (Statistical Analysis System), and how these applications of SAS is enhancing the scope of SAS Programming language.
So, let’s start the SAS applications tutorial.
Introduction to SAS
SAS is one handy language that can be used for analytics purpose. It was initially designed to complete statistical analysis. It is one of the most used tools in the market. The main SAS application is to process complex raw data and generate meaningful insights.
This helps the organization to make better decisions. It helps us to mine data from various sources, compile it and analyze it. It does the digging, cleaning, processing, and packaging for statistical people.
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In general, SAS application is playing a major role in statistical analysis and decision making. But here we will present some specific domains that use SAS application. Let’s discuss some SAS Applications in detail:
1. Multivariate Analysis
For instance, consider a person who wishes to buy stock in bulk. So he or she would weigh various factors like price, quantity, quality, etc.
The multivariate analysis does the same thing. It detects and analyses various statistical variables of an outcome at the same time.
A technique is used in this analysis. It uses various studies which depict the effect of variable factors on one single result. It includes analysis of factor analysis, bivariate analysis, and multiple regressions.
2. Business Intelligence
It refers to strategies and technologies used by any enterprise for data analysis of business information. It provides insights regarding predictive, current and historical views of business working.
The analysis of data helps the senior board with scope for decision making. These technologies include reporting, data mining, process mining, complex event processing, benchmarking, etc.
3. Predictive Analytics
As the name suggests it uses already available data to predict the future. It uses various statistical techniques to draw inferences. For instance, in a company, the trend in sales of product A has been constant over the years. So, it suggests non-changing demand of the product.
But for product B with changing demand every month, it analyses all the factors causing the variation, hidden inferences in the text, the customer thought process etc. Here predictive model exploits patterns found in historical data to identify risk.
4. Creating Safe Drugs & Clinical Research and Forecasting
Diagnosis and prognosis are very critical elements of medicine. They should always be very precise and accurate. SAS has played a revolutionary role in the field of medicine. It is used in clinical decision making support system.
SAS is used to monitor whether patients are at risk. Doctors even use it to find little chances of improvement in the condition of a patient.
SAS is a 4GL language. The main SAS application is to minimize programming efforts and reduce the time and money required to develop software.
So, this was all about SAS Applications. Hope you like our explanation.
In this SAS Tutorial, we studied various SAS applications. We also learned the basic SAS application of analyzing data using statistics. It has a specific application in various fields. It includes analyzing multiple elements at the same point of time in multivariate analysis.
If you have any query regarding SAS Application, feel free to ask in the comment section.
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