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Yatharth Sinhal
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Microsoft excel has always been our magic wand when it came to data management. From the school time to the college i've used excel in each and every purposes. Believe me when I say that i have managed my monthly budget on excel!
However, here we are talking about a much more sophisticated use in data analytics. Businesses use analytics for data driven decision making in day to day operations. Microsoft excel may feel a bit less sophisticated when it comes to analytics. Although it provides a basic analysis features of descriptive analysis excel loses on the following features from SPSS.
SPSS Provides the following tools which Excel doesn't.
Various types of analysis, such as ANNOVA, Cluster, Discriminant, Factor and Correlate can be successfully completed using SPSS. This software is also ideal for Curve Estimation, Liner Regression, Crosstabs, Descriptive Ratio Analysis, PLUM regression, Multi-dimensional scaling, reporting and testing.
Why SPSS is better?
Despite of their similar view and feel with menus, SPSS and Excel has the following distinctive features which makes SPSS better.
- An easier and quicker access to basic functions, like descriptive statistics, in pull-down menus
- A wide range of charts and graphs to choose from
- Faster access to statistical tests
In a nutshell, SPSS provides these 3 major benefits over Excel.
1) Thorough data management
2) An entire gamut of options
3) Better organization of the output
So, now when a person asks which one is better for data analytics, you know the answer!
However, here we are talking about a much more sophisticated use in data analytics. Businesses use analytics for data driven decision making in day to day operations. Microsoft excel may feel a bit less sophisticated when it comes to analytics. Although it provides a basic analysis features of descriptive analysis excel loses on the following features from SPSS.
SPSS Provides the following tools which Excel doesn't.
Various types of analysis, such as ANNOVA, Cluster, Discriminant, Factor and Correlate can be successfully completed using SPSS. This software is also ideal for Curve Estimation, Liner Regression, Crosstabs, Descriptive Ratio Analysis, PLUM regression, Multi-dimensional scaling, reporting and testing.
Why SPSS is better?
Despite of their similar view and feel with menus, SPSS and Excel has the following distinctive features which makes SPSS better.
- An easier and quicker access to basic functions, like descriptive statistics, in pull-down menus
- A wide range of charts and graphs to choose from
- Faster access to statistical tests
In a nutshell, SPSS provides these 3 major benefits over Excel.
1) Thorough data management
2) An entire gamut of options
3) Better organization of the output
So, now when a person asks which one is better for data analytics, you know the answer!
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