It requires some training or following a few tutorials on YouTube to understand the product functionality. If you are already interested in learning new languages, it offers more versatility and comprehensive data analysis. It is an expensive tool. For individual users, especially non-students, there might not be a free option available. It has a subscription-based model without an option for one-stop payment. Certain areas need some guidance and learning for users to understand the functionality. However, it is a great tool in terms of versatility and types of analysis. I rate it an eight out of ten.
Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University
Real User
Top 10
2024-01-23T07:53:04Z
Jan 23, 2024
I believe it's suitable for anyone to confidently use for research purposes, given its wide range of capabilities. Overall, I highly recommend it due to its user-friendly interface, making it accessible to all. Overall, I would rate it ten out of ten.
Business Intelligence Analyst at University of Huddersfield
Real User
2023-06-01T14:59:00Z
Jun 1, 2023
My advice would be to be open-minded and have critical thinking skills. One thing with SPSS is that the analysis itself is easy to use by following instructions and manuals. But once you have the results, you should be able to think outside the program and critically analyze what needs to be done to improve business processes. It's not just about using the tool; it's about understanding how to interpret and apply the results to your organization. So, I would advise anyone using IBM SPSS to be open-minded and think expansively about how to apply the insights gained from the analysis. Overall, I would rate the solution a six out of ten. The reason for giving it a six is because I feel like it provides a general overview of what is happening and where to look. However, if you want to go into the details and access the actual root cause of the bottleneck, you would need some additional products. So, I believe that in order to obtain more comprehensive results, it depends on the type of issues you are dealing with. Some issues may require the general knowledge that IBM SPSS provides to help you solve the problem, while sometimes, it may require additional tools for in-depth analysis. But because it establishes a foundation for analyzing business processes, it does have some basic importance. So, I'm giving it a six overall.
Senior Statistical Consultant at a financial services firm with 501-1,000 employees
Consultant
Top 20
2023-02-28T10:13:55Z
Feb 28, 2023
I'm an end-user. I'm working with version 26 or 27. I'd rate the solution seven out of ten. With this product, you do need to have a good coding background. I'd recommend the product to others. It is quite useful. However, the challenge is always the price. Often, when people hear the cost, they show less interest.
I rate IBM SPSS Statistics nine out of 10. There's a steep learning curve, and you need to take the time to develop the required skills and give yourself enough time to start the process of learning on your own. When IBM advertises how easy it is for you to learn, use and apply, that's true in a sense. However, that's only after you pass the first extremely steep learning curve. Once you understand the basics and get used to it, you can do practically anything with it.
My advice to others is they should get a very small data set, a few hundred cases perhaps, and start off with some frequencies and some cross tabs and build out from there. I rate IBM SPSS Statistics a nine out of ten.
Professor of Health Services Research at a university with 1,001-5,000 employees
Real User
Top 10
2022-04-25T12:01:33Z
Apr 25, 2022
If you do it using the graphical user interface, always click on the save button or paste button, not just the save. For example, if I need to analyze some data before I run it, I set it up using the GUI, I click on paste, and then I run it and save it. When I click paste, it follows all the instructions I've given it in the GUI, but it writes the underlying code. I can save the code, on my disc, and I can get it back later. This means that you can make your analysis completely replicable. You don't have to redo it, you can just rerun the same program. I would rate this solution at nine on a scale from one to ten.
Consultora asociada especialista en Ciencia at a consultancy with 11-50 employees
Real User
2021-12-21T11:45:00Z
Dec 21, 2021
This is a very flexible product that can be used for numerous purposes. It's also very easy to teach others to use it. I would rate this solution as ten out of ten.
Learning and Development Manager at a university with 5,001-10,000 employees
Real User
2021-11-25T20:37:00Z
Nov 25, 2021
I use the solution daily. I use quantitative software for both SPSS and NVivo. I use a lot of functions from SPSS: chi-square, regression analysis, linear regression, multiple regression, cross-tabulation. SPSS is quicker than comparable software. It starts immediately. For basic and intermediate functions, SPSS is quite good. But once it gets advanced, it's better to use open-source software, like Python and R. I would rate the solution a seven out of ten, and I would recommend the solution to somebody looking to implement SPSS for statistics for their own organization.
Director, Systems Management & MIS Operations at a university with 201-500 employees
Real User
2021-10-19T19:31:25Z
Oct 19, 2021
I rate IBM SPSS Statistics eight out of 10. It's a good starting point if you have a modest budget because you can start for free. Unfortunately, SPSS does not have AI capabilities. And when I say AI capabilities, I mean something similar to what you see on a stock trading platform. Based on the stocks and index funds you've been browsing, it will suggest similar things that you might be looking for. I want SPSS to have that kind of capability because it engages users and saves a lot of time by showing you exactly what you want to see. This could be in newer versions that I haven't used, and maybe I'm missing out. But to my knowledge, they don't have this yet. That's why I rate it an eight. Nowadays, a lot of people are putting AI in their products. Some of it is good, some bad. But if it's good AI, it can be helpful.
Founder and General Manager at a tech services company with 1-10 employees
Real User
2021-07-08T09:36:00Z
Jul 8, 2021
My advice to others is to be prepared to deal with your data and you most likely will require assistance to help to deploy the models and develop them. I rate IBM SPSS Statistics an eight out of ten.
On a scale from one to ten where one is the worst and ten is the best, I would rate IBM SPSS Statistics between eight and nine. If they add some automation with time series and regression analysis exactly as they did with the linear regression, it would be a much better tool. If you open the regression modeling, the first item you will find is an automatic linear model. It uses the best technique, which is either is forward analysis or is stepwise. It can anticipate the user's needs and train at the same time. Some additional capabilities of this sort will push the tool forward as well as empowering the users.
I would recommend this product. I teach statistics at a college in Bangalore, and I use the IBM statistics, which my students have bought for $29 per month. We use IBM Statistics to learn statistical analysis of data because visualization data is different than statistical analysis. I totally recommend IBM SPSS, even in top business schools, like IAM in India. I went on a guest lecture there and I recommended IBM SPSS to IAM. On a scale of one to ten, I would rate IBM SPSS Statistics a nine. I absolutely like the product. That's the reason I recommend all of my students buy SPSS.
Business Owner at a analyst firm with 1-10 employees
Real User
2020-07-09T06:27:02Z
Jul 9, 2020
We're just a customer. We don't have any special working relationship with IBM. We may not be using the latest version of the solution. It's been about a year since I have last updated it. I'd advise other organizations considering implementing the solution to make sure that they find a partner or somebody who can help them handle the solution. I'd rate the solution seven out of ten.
Assistant Director-Data Analytics at Ernst & Young
Real User
2020-02-02T10:42:05Z
Feb 2, 2020
We're an official IBM partner. We have an enterprise license; I'm not sure if we're currently using the latest version or not. We might be on V3 or V4. I'd recommend the solution to other organizations. I'd rate it nine out of ten.
Of course I would recommend SPSS. I advise everyone to use it. As I mentioned, I wrote books about using SPSS. They are used for training and I knew most of the lecturers were using the package. Time series is a branch in and of itself, and it's very important for forecasting the future. I was suffering until I could simplify this using the SPSS for forecasting or for building time series modeling. On a scale of one to ten, I would give IBM SPSS Statistics at least a nine.
I think that it is a very good analysis tool for many different areas. For example, recently I found many applicable uses in my research and for market analysis. SPSS can be deployed as a very powerful tool. I am now consulting with very different customers in various areas to improve their the analytical tools with their analytics team. On a scale of 1 to 10, I would rate the IBM SPSS about eight or nine. To make it a 10, I suggest improving the design that experiments are run on.
My advice to other users is that if they are not doing proper data analysis that there are other, better solutions like SPSS to predict and to analyze the data. Assuming the data is already there, they may just be printing a report or pulling a PDF or filling information into the database. But they are not really doing what they can with the data to use it. Now there are better solutions we can use and should use to produce information from the data in a way we did not before. It is a better way and the way of the future for data analysis. We need to use predictive algorithms and AI to get more from the information we collect and use it to create better solutions for our businesses. Data analysis is different now than it was only maybe 5 years ago. We can perfect the data and come up with facts from that analysis that we can use for predictions that will help make looking into the future with prediction more viable and accurate. On a scale from one to ten where one is the worst and ten is the best, I would rate IBM SPSS Statistics as a 7 out of 10. To improve that score they need to enhance the data access and export so that it will be less work, add dashboards for queries and give more options for reporting output.
Business Process Improvement at Modi Enterprises Private Limited
Real User
2019-12-15T05:59:00Z
Dec 15, 2019
I'd advise users to think about using Minitabs. The solution is simpler. However, if you are working with big data, SPSS is better. For large data sets, there's nothing better than SPSS. I'd rate the solution eight out of ten. I'd rate it higher, but it's quite a complex product.
I've been working with SPSS for three or four years, but have limited knowledge of the product because we only used it for one project. We use the on-premises deployment model. We're IBM partners. I'd recommend the solution for the purposes of predictive analytics. I'm not sure about other use cases. SPSS can be used also for some other solutions in the area of advanced analytics, or for predictive analytics. I can recommend it, as it's a good, stable solution with a proven track record. I'd rate the solution nine out of ten.
It's a pretty old-school statistical tool but it's useful. I would recommend it, although there are some better tools available. I would rate this solution a seven out of ten.
In this field, there are some open-source products such as KNIME that may be useful for our purpose, because it lessens the costs. I would rate this solution a seven out of ten.
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...
It requires some training or following a few tutorials on YouTube to understand the product functionality. If you are already interested in learning new languages, it offers more versatility and comprehensive data analysis. It is an expensive tool. For individual users, especially non-students, there might not be a free option available. It has a subscription-based model without an option for one-stop payment. Certain areas need some guidance and learning for users to understand the functionality. However, it is a great tool in terms of versatility and types of analysis. I rate it an eight out of ten.
I believe it's suitable for anyone to confidently use for research purposes, given its wide range of capabilities. Overall, I highly recommend it due to its user-friendly interface, making it accessible to all. Overall, I would rate it ten out of ten.
It is an outstanding solution, and I highly endorse it. I would rate it ten out of ten.
I rate the solution a nine out of ten.
My advice would be to be open-minded and have critical thinking skills. One thing with SPSS is that the analysis itself is easy to use by following instructions and manuals. But once you have the results, you should be able to think outside the program and critically analyze what needs to be done to improve business processes. It's not just about using the tool; it's about understanding how to interpret and apply the results to your organization. So, I would advise anyone using IBM SPSS to be open-minded and think expansively about how to apply the insights gained from the analysis. Overall, I would rate the solution a six out of ten. The reason for giving it a six is because I feel like it provides a general overview of what is happening and where to look. However, if you want to go into the details and access the actual root cause of the bottleneck, you would need some additional products. So, I believe that in order to obtain more comprehensive results, it depends on the type of issues you are dealing with. Some issues may require the general knowledge that IBM SPSS provides to help you solve the problem, while sometimes, it may require additional tools for in-depth analysis. But because it establishes a foundation for analyzing business processes, it does have some basic importance. So, I'm giving it a six overall.
I'm an end-user. I'm working with version 26 or 27. I'd rate the solution seven out of ten. With this product, you do need to have a good coding background. I'd recommend the product to others. It is quite useful. However, the challenge is always the price. Often, when people hear the cost, they show less interest.
I rate IBM SPSS Statistics nine out of 10. There's a steep learning curve, and you need to take the time to develop the required skills and give yourself enough time to start the process of learning on your own. When IBM advertises how easy it is for you to learn, use and apply, that's true in a sense. However, that's only after you pass the first extremely steep learning curve. Once you understand the basics and get used to it, you can do practically anything with it.
My advice to others is they should get a very small data set, a few hundred cases perhaps, and start off with some frequencies and some cross tabs and build out from there. I rate IBM SPSS Statistics a nine out of ten.
If you do it using the graphical user interface, always click on the save button or paste button, not just the save. For example, if I need to analyze some data before I run it, I set it up using the GUI, I click on paste, and then I run it and save it. When I click paste, it follows all the instructions I've given it in the GUI, but it writes the underlying code. I can save the code, on my disc, and I can get it back later. This means that you can make your analysis completely replicable. You don't have to redo it, you can just rerun the same program. I would rate this solution at nine on a scale from one to ten.
This is a very flexible product that can be used for numerous purposes. It's also very easy to teach others to use it. I would rate this solution as ten out of ten.
I use the solution daily. I use quantitative software for both SPSS and NVivo. I use a lot of functions from SPSS: chi-square, regression analysis, linear regression, multiple regression, cross-tabulation. SPSS is quicker than comparable software. It starts immediately. For basic and intermediate functions, SPSS is quite good. But once it gets advanced, it's better to use open-source software, like Python and R. I would rate the solution a seven out of ten, and I would recommend the solution to somebody looking to implement SPSS for statistics for their own organization.
I rate IBM SPSS Statistics eight out of 10. It's a good starting point if you have a modest budget because you can start for free. Unfortunately, SPSS does not have AI capabilities. And when I say AI capabilities, I mean something similar to what you see on a stock trading platform. Based on the stocks and index funds you've been browsing, it will suggest similar things that you might be looking for. I want SPSS to have that kind of capability because it engages users and saves a lot of time by showing you exactly what you want to see. This could be in newer versions that I haven't used, and maybe I'm missing out. But to my knowledge, they don't have this yet. That's why I rate it an eight. Nowadays, a lot of people are putting AI in their products. Some of it is good, some bad. But if it's good AI, it can be helpful.
My advice to others is to be prepared to deal with your data and you most likely will require assistance to help to deploy the models and develop them. I rate IBM SPSS Statistics an eight out of ten.
Overall, I like this product and I don't have any major things that I would like to change. I would rate this solution an eight out of ten.
I would rate IBM SPSS Statistics an eight out of ten.
On a scale from one to ten where one is the worst and ten is the best, I would rate IBM SPSS Statistics between eight and nine. If they add some automation with time series and regression analysis exactly as they did with the linear regression, it would be a much better tool. If you open the regression modeling, the first item you will find is an automatic linear model. It uses the best technique, which is either is forward analysis or is stepwise. It can anticipate the user's needs and train at the same time. Some additional capabilities of this sort will push the tool forward as well as empowering the users.
I would recommend this product. I teach statistics at a college in Bangalore, and I use the IBM statistics, which my students have bought for $29 per month. We use IBM Statistics to learn statistical analysis of data because visualization data is different than statistical analysis. I totally recommend IBM SPSS, even in top business schools, like IAM in India. I went on a guest lecture there and I recommended IBM SPSS to IAM. On a scale of one to ten, I would rate IBM SPSS Statistics a nine. I absolutely like the product. That's the reason I recommend all of my students buy SPSS.
We're just a customer. We don't have any special working relationship with IBM. We may not be using the latest version of the solution. It's been about a year since I have last updated it. I'd advise other organizations considering implementing the solution to make sure that they find a partner or somebody who can help them handle the solution. I'd rate the solution seven out of ten.
We're an official IBM partner. We have an enterprise license; I'm not sure if we're currently using the latest version or not. We might be on V3 or V4. I'd recommend the solution to other organizations. I'd rate it nine out of ten.
Of course I would recommend SPSS. I advise everyone to use it. As I mentioned, I wrote books about using SPSS. They are used for training and I knew most of the lecturers were using the package. Time series is a branch in and of itself, and it's very important for forecasting the future. I was suffering until I could simplify this using the SPSS for forecasting or for building time series modeling. On a scale of one to ten, I would give IBM SPSS Statistics at least a nine.
This is a product that I recommend for people who do not need to work with Big Data. I would rate this solution a seven out of ten.
I think that it is a very good analysis tool for many different areas. For example, recently I found many applicable uses in my research and for market analysis. SPSS can be deployed as a very powerful tool. I am now consulting with very different customers in various areas to improve their the analytical tools with their analytics team. On a scale of 1 to 10, I would rate the IBM SPSS about eight or nine. To make it a 10, I suggest improving the design that experiments are run on.
My advice to other users is that if they are not doing proper data analysis that there are other, better solutions like SPSS to predict and to analyze the data. Assuming the data is already there, they may just be printing a report or pulling a PDF or filling information into the database. But they are not really doing what they can with the data to use it. Now there are better solutions we can use and should use to produce information from the data in a way we did not before. It is a better way and the way of the future for data analysis. We need to use predictive algorithms and AI to get more from the information we collect and use it to create better solutions for our businesses. Data analysis is different now than it was only maybe 5 years ago. We can perfect the data and come up with facts from that analysis that we can use for predictions that will help make looking into the future with prediction more viable and accurate. On a scale from one to ten where one is the worst and ten is the best, I would rate IBM SPSS Statistics as a 7 out of 10. To improve that score they need to enhance the data access and export so that it will be less work, add dashboards for queries and give more options for reporting output.
I'd advise users to think about using Minitabs. The solution is simpler. However, if you are working with big data, SPSS is better. For large data sets, there's nothing better than SPSS. I'd rate the solution eight out of ten. I'd rate it higher, but it's quite a complex product.
I've been working with SPSS for three or four years, but have limited knowledge of the product because we only used it for one project. We use the on-premises deployment model. We're IBM partners. I'd recommend the solution for the purposes of predictive analytics. I'm not sure about other use cases. SPSS can be used also for some other solutions in the area of advanced analytics, or for predictive analytics. I can recommend it, as it's a good, stable solution with a proven track record. I'd rate the solution nine out of ten.
It's a pretty old-school statistical tool but it's useful. I would recommend it, although there are some better tools available. I would rate this solution a seven out of ten.
In this field, there are some open-source products such as KNIME that may be useful for our purpose, because it lessens the costs. I would rate this solution a seven out of ten.
I would rate this product an eight out of 10.