IBM SPSS data analysis tool for objective decision making.
Overall Satisfaction with IBM SPSS
It is used by the engineering department to prepare reports, investigations, forecasts, systematization, analysis, presentation and for the organization of professional quality data for decision making.
Currently, it is used to carry out multiple linear regression analysis for the purpose of forecasting the value of goods and for the application of mathematical financial techniques in order to determine what the alternatives are thay pay towards the efficiency and profitability of the company.
Currently, it is used to carry out multiple linear regression analysis for the purpose of forecasting the value of goods and for the application of mathematical financial techniques in order to determine what the alternatives are thay pay towards the efficiency and profitability of the company.
Pros
- Application of descriptive statistics technique to work with demography.
- Application of inferential statistics techniques for the investigation of operations with aims that the company is every day more optimal.
- It offers a spreadsheet for data entry, organization, analysis and reporting of results that allows understanding the behavior of the values, and consequently interpreting the results.
- It facilitates the analysis of complex data sets for compliance with advanced statistical procedures, offering results of high precision and reliability.
- It provides the possibility of importing and exporting different types of files, ignoring hidden Excel columns and rows, removing leading and trailing spaces from string values, exporting value labels to a database, and many specific options. that allow us to work in the analysis of data that support decision making.
Cons
- I do not like graphics tools, I think they are very basic, it would be pertinent to evaluate the graphics tools of other similar programs in order to improve the image of such presentation.
- Other aspects that I do not like very much is the quality of the results reports because they are not easy to understand and interpret accordingly. I consider that IBM SPSS should look for ways to design a module to improve the presentation of the results. Other things that are cumbersome is the historical results because it has to confuse because the information is disorderly. The reports are very basic, little colorful and confusing.
- I have used graphics tools to show certain results, personally I do not like them very much, I think they can improve their presentation.
Select IBM SPSS because it is a program that is easier to use than RStudio [which] requires the application of much more work hours to master and make the most of each of the tools it offers.
IBM SPSS has a simple and easy to use interface, a calculation tool to use and understand, and the graphics tools are easier to design. RStudio requires attending training activities to understand their work tools. It also needs a programming domain.


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