What is SPSS and What are its key Features?

 

Introduction

IBM SPSS Statistics is a comprehensive set of data analytics tools that allows you to analyze your data using a simple point-and-click interface and extract crucial insights. Thus, adopt data-driven decision-making in order to improve business outcomes in these times of fast change and agility. For decades, organizations of all sizes have depended on IBM SPSS Statistics to help them handle a wide range of commercial and research issues. Therefore, to get familiar with this statistical tool, you should think of going to SPSS Online Training. Such training will make you aware of its working and help you to get a high-paying job.

 SPSS: Meaning

SPSS is an abbreviation for "Statistical Package for the Social Sciences." It is an IBM utility that initially came into the limelight in 1968. However, this is a single piece of software that you can use for statistical data analysis.

Moreover, the organization can use SPSS in healthcare, marketing, and educational research. Also, market researchers, health researchers, survey firms, education researchers, government, marketing organizations, data miners, and others can use this tool. It examines data for descriptive statistics, forecasts for the numerical result, and group identification. This program also includes data processing, charting, and direct marketing functions for efficient data management.

 Need for SPSS

IBM SPSS Statistics is simple, and its English-like command language helps the user in navigating the flow. It includes a unique method for obtaining data from different sources.

Moreover, it presents the four applications listed below to assist researchers with their complex data analysis needs.

●     Statistics Program

●     Modeler Program

●     Text Analysis for Surveys

●     Visualization Designer

Features of SPSS

The Statistical Package for the Social Sciences comprises several features to integrate into your daily operations. Such features include the following:

●     You may easily export the data from every survey to SPSS for deep and thorough analysis.

●     However, you can store the data in SPSS in .SAV format. Much information in SPSS comes from surveys, and you can simplify the process of processing, analyzing, and pulling data.

●     SPSS has simple access to data with many variable types and makes it easy to understand.

●     Furthermore, SPSS makes it simple for researchers to create models because the procedure is automated.

●     After entering the data into SPSS, the real game starts. There is no limit to what we can do with this information.

●     SPSS also includes a unique method for obtaining data from different sources. Thus, SPSS features include trend analysis, assumptions, and prediction models.

Conclusion

Hopefully, you find this article informative. We have compiled the different features of SPSS that make it suitable for in-depth data analysis. Moreover, this tool is excellent for data analysis and visualization.