If you were talking to someone whose organization is considering IBM SPSS Statistics, what would you say?
How would you rate it and why? Any other tips or advice?
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.
What do you like most about IBM SPSS Statistics?
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