What is SAS | Why Can We Need SAS
SAS is a command-pushed statistical software program suite
extensively used for statistical information analysis and visualization. SAS
complete form is Statistical Analysis Software. It permits you to apply
qualitative strategies and strategies which assist you to enhance employee
productiveness and commercial enterprise profits. SAS is also used for superior
analytics like commercial enterprise intelligence, crime investigation, and
predictive analysis. SAS is mentioned as “SaaS.”
In SAS, data is extracted & categorised which lets you
discover and analyze information patterns. It is a software program suite which
permits you to carry out superior analysis, Business Intelligence, Predictive
Analysis, data control to function correctly within side the competitive &
converting commercial enterprise conditions. Moreover, SAS is platform
impartial because of this that you may run SAS on any working device both Linux
and Windows.
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Compared to different BI tools, SAS gives considerable help
to programmatically rework and analyze data, aside from the use of the drag and
drop interface. This gives very granular manage over data manipulation and
analyzes that is its USP.
Why can we need SAS?
Let’s recognize the want for SAS with an easy example:
Consider an e-commerce organization that desires to know the
shopping for patterns of its clients primarily based totally on historic data.
The organization will need to keep in mind lots of information of a couple of
clients, to get the generalize insight.
The organization won't have these kinds of data required for
the analysis. For example, if a client did now no longer purchase a Jacket,
then what are the elements which stopped them now no longer purchase the
Jacket? This lacking data may want to create mistakes to your analysis. How you
are able to us remove those problems? How are we able to take care of this sort
of data?
Alternative SAS Tools
SAS Tool Substitutes:
R Programming: R programming is open-source software. It is cool
to learn R as it is fine recognized. It proposals solid arithmetical
capabilities.
Python: Python is a new standard open-source scripting
language. It is supports collections such as, Scipy, Numpy and MatPlotLib. You
can execute several statistical set-up, or you can build several model by these
collections.
SAS Features:
Key functions of SAS are:
- Easily get entry to raw information files & data in from an outside database. Read and write nearly any information format!
- Analyze data the use of descriptive, multivariate techniques, statistics, modeling, forecasting, linear programming
- Manage data the use of tools for information entry, formatting, modifying retrieval and conversion
- Advanced analytics lets you make modifications and upgrades in enterprise practices.
- Operations studies and project Management
- Report formation with best graphs
- Data updating and modification
- Outstanding data cleaning functions
- Great facts managing language
- Interact with a couple of host systems
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