I have used IBM SPSS Statistics primarily for survey analysis. It did what was necessary, including crosstabs, correlation, regression, chi-squared, and similar analyses that you see in published papers. These are the types of analyses I have used it for in my research.
Software Engineer at a university with 10,001+ employees
Real User
Top 10
2023-09-21T12:06:22Z
Sep 21, 2023
I use it to analyze questionnaire surveys related to a product, solution, or application, such as open data services, which I provide to consumers and end-users. These surveys contain evaluation assessments, and I use SPSS to analyze the responses.
I've used SPSS for my doctoral research and in my work as an academic and consultant. It's useful for getting reliable insights into survey data and performing quantitative data analysis. SPSS does the math for statistical research. In theory, I could take the same data set, plug it into an Excel spreadsheet, and eventually get the same result. However, it would be unbelievably messy and the chances of getting accurate and reliable results are next to nil. They're just too complex. For example, if you're trying to do multivariate analysis to find correlations between complex and diverse data sets, you can make a scatter plot in Excel, but it's unlikely to yield satisfactory results. I use both the formula-based input side of it and the more user-friendly side of it, depending on the context. Both of them produce more accurate, reliable, and easy-to-generate results than any other tool that's around. At the same time, SPSS isn't a tool you should use for simple, descriptive analytics. If you only need to create a bar chart, it's not worth spending the time to clean your data set and go through all the work required to import it into SCSS. While it can obviously do all those functions, it's not designed to make pretty charts. In other words, it's the hardest way to do the simplest of tasks, but it is the easiest way to do the hardest of tasks.
I am using IBM SPSS Statistics mainly for analyzing pieces of research and taking simple cross-tabulations, and then on through the multi-variant analysis. It's most useful with multi-variant. There is so much simplistic nonsense produced by people who always do it by social class and nothing else.
Learning and Development Manager at a university with 5,001-10,000 employees
Real User
2021-11-25T20:37:00Z
Nov 25, 2021
Our primary use case is to generally survey results and basic cross-tabulation for any ad hoc requests from key stakeholders. At times, it's a high amount of data but when we run on SPSS, it slows down the computer or the laptop, because if the data is huge, then we need a faster computer. But the corporate computers that we get from our company might not take too much of data load.
Director, Systems Management & MIS Operations at a university with 201-500 employees
Real User
2021-10-19T19:31:25Z
Oct 19, 2021
SPSS is a statistical dashboard that gives you a quick view of your data. We're a community college, so we use SPSS for analyzing all kinds of data. It's things like enrollments, transfers, new students, returning students, dropped classes, etc.
Founder and General Manager at a tech services company with 1-10 employees
Real User
2021-07-08T09:36:00Z
Jul 8, 2021
We are using this solution for statistical analysis in our organization for many areas, such as regression, the next-best-offer, and some models for marketing.
Consultant, Intelligent Process Automation at a financial services firm with 10,001+ employees
Real User
2020-12-21T18:29:11Z
Dec 21, 2020
We do data collection. We have a data collection plan, and we analyze the data and estimate how we can create capacity within the processes. Afterward, we just hand it out to our development team.
I have wide experience with SPSS Statistics. I have even written books about it. Statistics is part of analysis, but SPSS Statistics has some differences from just straight analysis. It is also a modeler, has some automation, and can build models like linear regression. It is completely different when you use a modeler for your analysis. A modeler is designed specifically for building models of data in an automated way and using the models for prediction, and forecasting. It can help you see the data and the meaning in different ways. Because I am a statistician, originally I am trained for both modeling and non-parametric analysis. Most modeling tools are completely different. They have no non-parametric analysis because they are used for large sample data or big data analysis. The primary use for SPSS Statistics for me is, of course, data analysis.
We use IBM SPSS Statistics as well as the Modeler. I would say 70% of our work is on Statistics and 30% is on the Modeler. I'm an independent consultant and my clients have lots of clinical level laboratories. Clinical companies, pharma companies, like Cipla, Biocon, etc. And also logistic companies, like Maersk and Blue Dot. I do the clinical analysis of their data. These companies provide the data and I give them the results. The customer gets the results in whatever format they want. All these companies that I work with also have software other than IBM SPSS. For example, Visual Analytics, SAP Discovery, and solutions like that. So I have to do a liaison with all these other software to fetch the data and present it to the client in whichever format they prefer because there are some features which IBM SPSS statistics has which SAS doesn't have. And there are a lot of features that SAS Visual Analytics has that IBM SPSS doesn't have. So it's a trade-off between these two. I do the liaising with all the partners.
I am using SPSS Statistics in many, many, many fields - more than you can imagine. The last one I was working on was with women at the Human Rights Council. I'm also using SPSS Amos for structural equation modeling. I'm using it to analyze data for business, data for engineering, and many other fields. Besides being a professional, I also sometimes advise or solve problems for others who are working with it in business or doing their Ph.D. or master's degree in it. Again, it is useful in many, many fields.
Policy Analyst at a government with 10,001+ employees
Real User
2020-01-15T08:03:00Z
Jan 15, 2020
My primary use for this solution was to interpret the results of a survey. I made use of correlation methods and other features to perform this analysis.
My primary use for IBM SPSS Statistics is as a user and a consultant. I use it for my research in market analytics. I also use it for cluster analysis for customers. Currently, my eight students in university are using it in their projects. I think that IBM SPSS has improved very much and its data mining capabilities are also very good. I suggest it as a powerful research tool for anybody in different areas. I work mostly with market analytics. I think that it's good in different areas. For example, some of my students in university also use it for factor analysis and component analysis. I also use it for descriptive statistics describing a population, and for information analysis. Its application for regulation analysis is very good. And I use it in my private work, too.
In our company, we have about 2000 workers. I use K-means algorithms all the time. So, for example, say we want to classify workers to do better studies by groupings. Maybe we want to target groups of workers who tend to make more errors so we can concentrate on reducing the effects of this issue. We can further classify the grouping in terms of age and in terms of year of services in the company or other ways that may be helpful. After we have found the grouping of people, we can do other types of analysis and the result of the study can be used to apply solutions. In this case, where we are looking to reduce errors, it might be a solution to deploy more supervision and evaluate more of the variables from the group of the employee that we have isolated to analyze performance issues. For example, we may want to reduce excessive overtime to enhance alertness. We are use TFS (Team Foundation Server) and we use the K-means algorithm to help optimize the behaviors in the groups that we identify. I think in the future this kind of algorithm will be used widely by people to predict many things and to improve the performance of businesses and individuals.
The primary use case of this solution is for statistical approaches, performing ED tests, and multi-armed bandit tests. It gathers the results that help us to decide on what type of campaign works best, and what type of branding would work best.
The primary use case of this solution is for collecting business data and reporting to upper management. Also, I am creating some regulatory and ad-hoc reports.
Senior Statistical Consultant at a financial services firm with 501-1,000 employees
Consultant
2019-11-13T05:28:00Z
Nov 13, 2019
I'm a senior statistical consultant. We mainly use IBM SPSS to find data and organize it. We have about 10 people in our company that use the product for analysis. The work is seasonal, sometimes we use the product daily and during other periods maybe weekly, monthly or quarterly. It really depends on when the work comes in. Our company uses many different types of software and it's really dependent on the individual situation and requirements of the company.
IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.
IBM SPSS Statistics Benefits
Some of the ways that organizations can benefit by choosing to deploy IBM SPSS...
I have used IBM SPSS Statistics primarily for survey analysis. It did what was necessary, including crosstabs, correlation, regression, chi-squared, and similar analyses that you see in published papers. These are the types of analyses I have used it for in my research.
We use the product to conduct multiple and diverse statistical analyses across various datasets.
We use it for data management and analysis.
I use it to analyze questionnaire surveys related to a product, solution, or application, such as open data services, which I provide to consumers and end-users. These surveys contain evaluation assessments, and I use SPSS to analyze the responses.
I use IBM SPSS Statistics for business and management data. We also use it to analyze the questionnaires of cross-sectional studies.
We primarily use the solution for analytics.
I've used SPSS for my doctoral research and in my work as an academic and consultant. It's useful for getting reliable insights into survey data and performing quantitative data analysis. SPSS does the math for statistical research. In theory, I could take the same data set, plug it into an Excel spreadsheet, and eventually get the same result. However, it would be unbelievably messy and the chances of getting accurate and reliable results are next to nil. They're just too complex. For example, if you're trying to do multivariate analysis to find correlations between complex and diverse data sets, you can make a scatter plot in Excel, but it's unlikely to yield satisfactory results. I use both the formula-based input side of it and the more user-friendly side of it, depending on the context. Both of them produce more accurate, reliable, and easy-to-generate results than any other tool that's around. At the same time, SPSS isn't a tool you should use for simple, descriptive analytics. If you only need to create a bar chart, it's not worth spending the time to clean your data set and go through all the work required to import it into SCSS. While it can obviously do all those functions, it's not designed to make pretty charts. In other words, it's the hardest way to do the simplest of tasks, but it is the easiest way to do the hardest of tasks.
I am using IBM SPSS Statistics mainly for analyzing pieces of research and taking simple cross-tabulations, and then on through the multi-variant analysis. It's most useful with multi-variant. There is so much simplistic nonsense produced by people who always do it by social class and nothing else.
I use it to analyze social and medical data.
My primary use cases are statistic analysis and data governance.
Our primary use case is to generally survey results and basic cross-tabulation for any ad hoc requests from key stakeholders. At times, it's a high amount of data but when we run on SPSS, it slows down the computer or the laptop, because if the data is huge, then we need a faster computer. But the corporate computers that we get from our company might not take too much of data load.
SPSS is a statistical dashboard that gives you a quick view of your data. We're a community college, so we use SPSS for analyzing all kinds of data. It's things like enrollments, transfers, new students, returning students, dropped classes, etc.
We are using this solution for statistical analysis in our organization for many areas, such as regression, the next-best-offer, and some models for marketing.
Once it is installed it does an important job because it helps with long statistical analysis processes.
We do data collection. We have a data collection plan, and we analyze the data and estimate how we can create capacity within the processes. Afterward, we just hand it out to our development team.
I have wide experience with SPSS Statistics. I have even written books about it. Statistics is part of analysis, but SPSS Statistics has some differences from just straight analysis. It is also a modeler, has some automation, and can build models like linear regression. It is completely different when you use a modeler for your analysis. A modeler is designed specifically for building models of data in an automated way and using the models for prediction, and forecasting. It can help you see the data and the meaning in different ways. Because I am a statistician, originally I am trained for both modeling and non-parametric analysis. Most modeling tools are completely different. They have no non-parametric analysis because they are used for large sample data or big data analysis. The primary use for SPSS Statistics for me is, of course, data analysis.
We use IBM SPSS Statistics as well as the Modeler. I would say 70% of our work is on Statistics and 30% is on the Modeler. I'm an independent consultant and my clients have lots of clinical level laboratories. Clinical companies, pharma companies, like Cipla, Biocon, etc. And also logistic companies, like Maersk and Blue Dot. I do the clinical analysis of their data. These companies provide the data and I give them the results. The customer gets the results in whatever format they want. All these companies that I work with also have software other than IBM SPSS. For example, Visual Analytics, SAP Discovery, and solutions like that. So I have to do a liaison with all these other software to fetch the data and present it to the client in whichever format they prefer because there are some features which IBM SPSS statistics has which SAS doesn't have. And there are a lot of features that SAS Visual Analytics has that IBM SPSS doesn't have. So it's a trade-off between these two. I do the liaising with all the partners.
The company is primarily using the solution as a statistical tool.
We use SPSS specifically for doing segmentation analysis and customer analysis including various kinds of share model predictions, etc.
I am using SPSS Statistics in many, many, many fields - more than you can imagine. The last one I was working on was with women at the Human Rights Council. I'm also using SPSS Amos for structural equation modeling. I'm using it to analyze data for business, data for engineering, and many other fields. Besides being a professional, I also sometimes advise or solve problems for others who are working with it in business or doing their Ph.D. or master's degree in it. Again, it is useful in many, many fields.
My primary use for this solution was to interpret the results of a survey. I made use of correlation methods and other features to perform this analysis.
My primary use for IBM SPSS Statistics is as a user and a consultant. I use it for my research in market analytics. I also use it for cluster analysis for customers. Currently, my eight students in university are using it in their projects. I think that IBM SPSS has improved very much and its data mining capabilities are also very good. I suggest it as a powerful research tool for anybody in different areas. I work mostly with market analytics. I think that it's good in different areas. For example, some of my students in university also use it for factor analysis and component analysis. I also use it for descriptive statistics describing a population, and for information analysis. Its application for regulation analysis is very good. And I use it in my private work, too.
In our company, we have about 2000 workers. I use K-means algorithms all the time. So, for example, say we want to classify workers to do better studies by groupings. Maybe we want to target groups of workers who tend to make more errors so we can concentrate on reducing the effects of this issue. We can further classify the grouping in terms of age and in terms of year of services in the company or other ways that may be helpful. After we have found the grouping of people, we can do other types of analysis and the result of the study can be used to apply solutions. In this case, where we are looking to reduce errors, it might be a solution to deploy more supervision and evaluate more of the variables from the group of the employee that we have isolated to analyze performance issues. For example, we may want to reduce excessive overtime to enhance alertness. We are use TFS (Team Foundation Server) and we use the K-means algorithm to help optimize the behaviors in the groups that we identify. I think in the future this kind of algorithm will be used widely by people to predict many things and to improve the performance of businesses and individuals.
I primarily use the solution for data analysis.
We primarily use the solution for the advanced analytics features or asset maintenance for IBM Maximo.
The primary use case of this solution is for statistical approaches, performing ED tests, and multi-armed bandit tests. It gathers the results that help us to decide on what type of campaign works best, and what type of branding would work best.
The primary use case of this solution is for collecting business data and reporting to upper management. Also, I am creating some regulatory and ad-hoc reports.
I'm a senior statistical consultant. We mainly use IBM SPSS to find data and organize it. We have about 10 people in our company that use the product for analysis. The work is seasonal, sometimes we use the product daily and during other periods maybe weekly, monthly or quarterly. It really depends on when the work comes in. Our company uses many different types of software and it's really dependent on the individual situation and requirements of the company.