What is SAS?
In this blog, We will understand What is SAS? SAS stands for Statical Analysis System. It can be defined as a software system for data management, business intelligence, Predictive Analysis, descriptive and prescriptive analysis etc and report writing.
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Before knowing What is SAS? Do you need to understand What is Data Analytics? Analytics is a trending word we all have heard about it you can find many definitions of it on the internet but I am going to explain ti through an example: Imagine, You want to buy a Laptop. What will be the possible number of questions in your mind? Let me help you with this. Few of the possible questions.
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- When should I buy a Laptop?
- How much should I spend on a Laptop?
- Should I buy it online or from the store?
- of which Brand?
- If I want to buy online from which website?
- If you decide to visit the store, which store?
Based on the above points, suppose, you decide to visit a store and buy a Laptop which will cost you around 35000 INR. You considered a few possibilities, picked the ones that suited the requirement and made a decision. This is called analysis you can gather information, analyse it and take better decisions.
Statical Analysis System is a batch of programs (This program is a depiction of what you want to do and is written in SAS language) that work together to reclaim them and to reserve data values, reform data, evaluate complex and single exponential analyses and generate reports. So I hope you get a clear definition of What is SAS?
Unlike other BI tools available in the market like Python, R. SAS have a different approach to transform data and analysis it rather than a pure drag-drop and connect approach. That makes it stand out from the crowd as it gives much finer control over data manipulation.
Being a vital tool for research and analytics, SAS holds 70% of the market share. R holds 15% and Python holds 10%. SAS is easy to understand even the people with limited knowledge of SQL database can easily learn it.
Few applications of SAS.
- Advanced Analytics
- Multivariate Analysis
- Business Intelligence
- Data Management
- Predictive Analysis
You can learn more about these technologies from HawksCode and visit my new posts like SAP and Salesforce Developer.
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