IBM SPSS Statistics Reviews

Well, actually, in terms of the technique that we use, and also the implementation, I prefer to use SPSS Clementine right now. It can cover a big amount of data, instead of just basic SPSS where you have limitations, how many observations you can analyze. In terms of the features, I think that the modelling section in IBM SPSS Clementine is very good. it has a lot of modeling techniques compared to other tools.

Similar to other tools, we can identify the pattern of the customers and we can differentiate between which customers we should target, which customer we should not target, and do some basic analysis. I think that's the thing that helps our organization.

Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement.

Also, right now we're handling more and more data. Maybe, in the future, they can improve on that. 

Also on the specialization, I think IBM SPSS can improve on that.

I've actually been using SPSS since I was in University, so it's around 10 years. 

When I was in college I used the basic SPSS, but when I was in the company I use SPSS Clementine. It is specialized for modeling.

Not much. I think it's good enough.

Up until now, not really. In telecom, we have a really big amount of data. I think that's not really been a problem for SPSS to handle.

I used several kinds of tools. It depends on the organization, what it already has. For example, in Alliance, right now, we already have our own solutions, so I just follow their organization rules and the preference. I have no preference in terms of the tools that I use.

I don't know. I'm not the IT guy who set up the tools.

As I said, I just follow what the company preference is for using tools. I'm not doing evaluation between products. The tool is already in place in the company, I just use it.

Regarding SPSS basic, I think the buyer should understand what are the requirements of the organization. So if it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer. It depends on the requirements. But in terms of the simplicity, I think the SPSS basic can handle it.

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.

The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful.

IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert.

I have been using IBM SPSS Statistics since the late 70s or early 80s.

IBM SPSS Statistics is a stable solution.

I have used IBM SPSS Statistics for hundreds of thousands of cases, but not into the millions. It's worked very well. It is scalable.

There are approximately 100 people are using this solution in the university.

I did not set up the solution. I only need to log in to the universities servers page and download it from there.

The price of IBM SPSS Statistics could improve.

The price is a reason one of the reasons why the university chose IBM SPSS Statistics.

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.

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.

The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it. It's a dashboard where they can get more information. And then, if they want to do a deeper dive into some things, they tell us, and we will work with the research department. We can either add or point to the field or fields and give them some more details. 

Say, for example, you wanted to see things like class registration broken down by area of study. So instead of just looking at enrollment, you can dive into specifics about which courses students are taking and what popular disciplines. We can do all that with SPSS. 

It's also customizable. You can add or remove features as needed to make it fit what you're looking for. Instructions for how to do this are all over our website. For example, on the research page, you see a default report, but you can pretty much create your own version that highlights what you want to show.

I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input. Right now, that mostly depends on the know-how of the user. But if it had some AI, maybe it could guess what you're looking for based on what you're clicking. So it might make a suggestion like, "I think you're looking for this because you've been hovering on this, this and that" 

For example, say you're clicking on a bunch of data related to enrollment, it might ask if you'd like to see enrollment projections. Or you're looking at diversity and want to break it down by race, religion, gender, and age so you can look for patterns. It should be smart enough.

I've been using IBM SPSS since 2002. 

SPSS is very reliable. So once it's up and running, there's little maintenance unless your network goes down. It's pretty much like Microsoft Office or those standalone programs. They keep running. And I haven't hit a wall where there are so many transactions that it breaks or pauses. You can connect a 2 kilobyte database to a terabyte database. It's just a matter of processing time, but it processes nonetheless. There are no hiccups or anything.

It's running on-premises, so you're only limited by your resources, not theirs. SPSS is a product that sits on the server or your PC, and it works. So if your PC is very old, of course, everything else won't work correctly there.

We haven't had to call IBM tech support. I called IBM once for a discount but never for support. When we switched from a single user to a tiered license a few years back, I recommended adopting special pricing for schools. IBM could verify this easily by looking at the users' school email addresses. Customer service was pretty smooth. Once we opened a ticket, they connected us to their sales, and we got the pricing we were looking for. 

It's like Excel. You connect your input to it, and there you go. Dive in.

You can download it for free, but if you want to enable the professional features, you can buy one license if that's all you need. But if you have many collaborators and want to add more contributors to your site or dashboard, you should think about tiers or a site license, depending on what you need. They have all flavors of licensing.

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.

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 features that I have found most valuable are the Bayesian statistics and descriptive statistics. I use these more often because in pharma companies and clinical hospitals they make the medicines by taking the feedback from different patients. For example, there could be a neuro-disorder patient or a normal IT employee who may be an introvert, confined to his own space and doesn't want to mingle with people or more inclined towards reading books and stuff like that. You have a cross-section of the community. If a patient comes to the doctors with a little bit of mental depression because of the work pressure or anything else, we collect this data, put up a questionnaire to him about his personality traits, why he's feeling depressed, what are the factors affecting his mental attitude and those kinds of questions and we collect that kind of data. Depending on the data we draw a graph and we give a statistical analysis to the doctors, as well.

Then simultaneously, we give this feedback to the pharma companies, so that depending on the data, they determine which medicine they have and what medicine they could develop. That is the kind of work that we do.

I understand that we're talking about IBM SPSS Statistics, it's a mathematical tool. Fine. Everybody knows that. It is a statistical tool. Having said that, if they could make it a little bit graphical then people who work on IBM SPSS need not depend on other software, like SAP Lumira or something like that, for the regeneration and graphical image of the entire data. That graphical GUI content should be encapsulated in the SPSS package. That's what I mean. 

I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities.

There are so many formulas which you can encapsulate in this IBM statistical tool. I don't have all the formulas off the top of my head right now, but for any statistical tool for that matter, regardless of the company, it should encapsulate these to the maximum. All the statistical tools and formulae which are taught. I expect that SPSS encapsulates all those formulas, it has a good amount of descriptors, chi-square distribution, ANOVA, etc... you have all the things, but if anything, any theory or formula is missing, I would suggest to SPSS to include that also and market it accordingly so that they can be a front runner in this market, in this segment.

I have been using IBM SPSS Statistics for three years.

It is a stable solution. There's no doubt. But you know, the stability has to be evolving every day. It's not that today I'm stable. Stability is not static. It is dynamic. My effective operative stability will not be carried forward to future generations without any hassles. No, it's not like that. Every day you have to evolve in the technologies to meet the demands.

As I told you earlier, SPSS still has to mature in terms of fetching data from the high volume data databases, like SAP HANA can. 

SAP HANA is a column level database, a columnar database, it's not a low level database. So SPSS has to show that kind of maturity. I assume that they'll scale up because IBM knows how to tackle the market.

In terms of scalbility, it is scalable. There is a scalability fee for this kind of package. The business package can be measured only with the amount of data it can analyze. 

Because if I talk about the Oracle database or the RNC database, the measure of scalability depends on the number of notes I can add to the RSE cluster, how much data will my database be able to handle, and what kind of hardware requirements I need. The IBM package is just a normal package. It doesn't have a SPSS package to measure the scalability. There's only one factor, how much volume of data it can analyze at any point of time. Take an example of its competitor, SAS. SAS analytical software has a server called Laser Server, an ASR server, which is capable of handling around 120 terabytes of data at a time.

That kind of thing should be here. I can't assume that SPSS as a front-end tool can assess that much volume of data. Having said that, it should have some kind of work around or a bigger version, just like SAP has given three versions of Lumira Discovery, Lumira designer and business studio. So on the same lines SPSS should have options for a normal user or for an advanced user which can take more amount of data.

Their customer service is pretty good. IBM is always customer oriented. I worked at IBM earlier, I know what kind of customer service they have. I worked in IBM at a prior date in India. They're very customer oriented, very customer focused. They don't let their customers down, even if the customer is bad, they'll politely try to resolve the issue. They focus on resolving the issue rather than getting into egos and all that stuff. I rate nine out of 10 on tech support. It's awesome.

I'm a pure IT consultant. And in addition to IBM SPSS, I'm also a SAP consultant. I work on SAP Lumira, I work on SAP HANA. I work on SAP S400 material management, logistical management, which includes the SCM MM, PP and the SV modules. I'm also a SAS consultant. I'm a sales, regional medical consultant. I have done the codes in SAS breakthrough modeling. I'm also an Oracle DBA. I worked on almost all the versions of Oracle right from 7.3 to Oracle 18 C. 19 C also, but 18 C is the stable one. So I'm an Oracle Meraki consultant RSE, real application, cluster consultants, and a golden gate expert.

The initial setup is pretty straightforward. Although I'm not an SPSS admin, per se, I was part of the SPSS installation. Basically what happens when you install any SPSS statistics package is a company involves both the admin guy and also the technical consultant who will be working on it so that they can work in tandem and make the installation perfect.

I was involved with the installation team, as well. It is pretty simple. It's not that complex. I think the versatility of IBM SPSS Statistics tool is very evident, it's good. You have the ability to fetch and analyze the different sets of data, whether it is a CSV from a separated value, or other data from the Oracle database, or other older database such as Dbase or redundant spreadsheets like Lotus 1,2,3 or Excel. You have everything. On that count, I gave IBM a nine out of 10. But there are drawbacks too, because IBM SPSS is not able to fetch the data from new databases like SAP HANA or SAP BW HANA. SAP HANA got introduced in 2011, but it became famous more in 2015.

The same is the case with BW HANA, the business warehouse for HANA, and any statistical tool which is not capable of fetching data from this volume, this database. SAP HANA is a numerary database. So any statistical tool which is not able to fetch data from these databases will not be able to sustain itself in the market for long. But yeah, there are some workarounds where people fetch the data from HANA into some of the data sets and transfer the same data set into SPSS to work through the indirect path. But SPSS has to pull up its socks to fetch data from heterogeneous environments, whether it be SAP, HANA or whether it is a MongoDB or anything, any RDBMS, or DBMS on this earth. That kind of flexibility should be there in SPSS.

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.

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. 

I think that it's easy to use because of its variable inference. It has two variable ports and the variable experience is very nice because every variable has its own purpose. It has the ability to easily change any variable in our research.

In terms of what can be improved, currently, I don't have any ideas because I think that it's in very good shape. It compares with its peers. 

I do think that the design of the experience can be improved.

Also, I think that it can improve its ability to import or export the results from other software.

I have been using IBM SPSS Statistics for more than five or six years.

Right now, there are 5 or 6 users in my company using the product. I have plans to increase usage because currently, I am working with some new customers on their market analysis and ideas. So I'll introduce this to them for their future analysis.

Regarding the SPSS technical support - I don't have any problems. I can find any answers on the internet or by searching on their site. I don't have any problems in this area.

I currently work with MiniTask software and Microsoft Excel for analysis in my various work.

In terms of initial setup, I don't have any problem opening it. It usually takes less than half an hour to deploy.

I think that IBM SPSS Statistics is a very powerful analytical tool, even for multivariate statistics. Other software solutions that I mentioned don't have these capabilities and are weaker than SPSS.

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.

The company is primarily using the solution as a statistical tool.

Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things.

The solution needs to make it easier to upgrade the software. Right now it's quite difficult. I always have to get a third party involved to upgrade the solution. This is one of the main reasons why I tend not to upgrade it very often and may not be using the most current version of the service.

It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that.

The solution needs to focus on better functionality for correspondence analysis.

The company has been using the solution for about two years at this point.

The solution is stable. There are no problems with reliability. It doesn't crash. there aren't bugs or glitches that we need to deal with. It's good.

We've found the solution to be very scalable. If a company needs to scale up, they can do so quite easily.

Currently, we are only operating with two licenses.

It's used a fair amount. However, obviously, since the COVID-19 lockdown, work has been very slow. Right now, it's not being used very much. I'm probably not planning to increase my usage due to the fact that I need to first get sales back up to where they were near the beginning of the year, before the quarantining and social distancing.

I've been in touch with technical support and have sought their help with a few support issues. So far, I've been satisfied with the level of attention they've given us. I consider them to be very good.

We didn't previously use a different solution. This company is quite new, and we've been using this solution from the beginning. However, I do use other tools to supplement this package. Some of it is third-party software, and some of it is my own software that I have written.

The initial setup is not straightforward at all. It's quite complex. So much so that we don't handle the set up in-house. We need to contract out the work to make sure it is done correctly.

We were a new company when we originally implemented it two years ago. There wasn't any implementation strategy other than to get it up and running and start using it. I basically bought it from a supplier of SPSS. They deployed it on our behalf as we didn't have the capabilities to do so ourselves. There were issues with it even with help. Those didn't get resolved until a number of months down the line. It's now completely fine.

We had a third party handle the implementation for us. We also have a third party handle the upgrade process.

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 primarily use the solution for the advanced analytics features or asset maintenance for IBM Maximo.

You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use.

Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance.

I've been working with SPSS for three or four years.

For our purposes, and how we use it, I've found it to be very stable.

The solution is scalable, but our system isn't so big. We just use it for simple scenarios. However, I believe this solution to have similar scalability capabilities to other IBM products. We have approximately ten users on the solution currently.

We don't reach out to IBM support directly. We have a good relationship with a local office and always get help from them if we need it. We don't use the official IBM support as our issues are usually quite small.

I didn't handle the initial setup, however, I don't think it's too complex. The team, as far as I know, didn't have any issues.

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.

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.

Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful.

If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution.

I have been using this solution for more than 15 years. 

It has some bugs off and on, but nothing has been a roadblock for us.

We have 500 users of this solution. I'm coming from an organization with 40,000 people.

I have not dealt with tech support.

We don't deal with that. The IT guys install it on our computers, and we just run it. That's it.

I would rate IBM SPSS Statistics an eight out of ten.