Overall, I rate the product a seven out of ten.

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I have no suggestions for those evaluating the solution. I rate the overall solution a five out of ten.

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The most important thing is to know how to mine the data. The most recent version gives you more facilities to do so, however, the techniques are mostly the same.

I'd advise users to learn Data Mining techniques or Data Science. The best support for that is to learn with IBM Modeler, as it is very easy to use. They give you one month for trial, so it's a good advance, a good chance for anybody to start to understand, to learn, to use IBM Modeler. One month is actually enough time to learn it.

I'd rate the solution at a nine out of ten.

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I'm a user of the product. 

I would rate the solution eight out of ten overall. We have been pleased with its capabilities. 

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I think that even though at the moment, the research and development of the software is lagging a little bit yet the software is exactly what the feature hosts for their Linux because it's no code, it's very much usable for building from business users to data scientists. It can deliver faster and more accurate, predictive, and advanced analytics to anyone in the line of business.

I rate the overall solution an eight out of ten.

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I am satisfied with this solution, and I would recommend it if you want to go for a paid solution.

I would rate IBM SPSS Modeler a nine out of ten.

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If you don't work developing algorithms and are only using them, this is the right tool. If you want to go deep into the algorithms, then you have to go to programming, such as Python, R, etc. If you are a practitioner, like me, who applies the tool in real-life projects, this is the tool I would recommend.

I rate IBM SPSS Modeler a nine out of ten.

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They offer a four-week trial which is maybe enough time to study the product. It really is very good.

I would rate this solution a nine out of 10. 

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The product is challenging to use. I rate it a seven out of ten.

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Give it a try, start with a proof of concept, and see where it leads.

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It's a very good product. We haven't used the full extent of its power because our team only use the basic part of the Modeler which deals with the migration of data. 

I would rate this solution an eight out of 10. 

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Take your time and do some PoCs with this solution and other solutions. At the end of the day, you will be highly impressed with SPSS capabilities and the capability to get models into production. You should take a hard look at SPSS.

Most important criteria when selecting a vendor: 

• The vendor's willingness to invest in the relationship
• Vendor's experience
• Product's stability
• Bringing the enterprise solution to bear.

There are a lot of vendors out there that have been around for three or four years, what I would consider startups. Then you have enterprise solutions, which have been around for 20 or 30 years.

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I would definitely recommend that other people try it. I still use it because when I got the latest version it had all those things that I wish I would've had when I was working at the office.

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Do not dive into the server directly. It is very hefty for just doing calculations that can already be done by SQL Server R or Oracle or teradata at hand... Maximize the utilization of the desktop tool first.

It is not a BI tool. It is pure analytics. It does not do reporting as well. And you unfortunately cannot publish your results to Qlik, Tableau, or Power BI.

this was another reason we switched to Alteryx.

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I would say, look through every product in the market, like we do, and try to pick what works best.

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Weigh the pros and cons. A lot of companies do not want to go with SPSS Modeler because of cost. What I have told some of my customers - I do some consulting as part of my job at the university - is, don't look just at the dollars and cents, look at benefits in your use case.

In terms of selecting a vendor, the most important thing to me is the availability of support.

Maybe I'm biased because I used it for a long time at IBM, but I would give it a 10 out of 10.

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It's a solution that was available when I entered the role. I have heard from others who were in the process of trying to start from ground-zero, and the tendency for them is to go with open-source because of the revenue model, obviously. 

I would say, if you're considering that open source-solution, definitely consider Modeler as well. Put together some kind of proposal that allows you to figure out how much time it's going to take individual people to create those models, versus being able to have an out-of-the-box solution that gets your team going more immediately.

Support is another benefit of going with Modeler over open-source. SPSS has been around for a long time. IBM acquired them, and they've added functionality and features to meet the needs of growing data science populations.

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I'd give it a nine out of 10. I really think that for someone who is not the strongest programmer on the planet, but is trying to learn and trying to put together some of these basic data science projects, it's a really valuable tool, the UI is very user friendly. So, it definitely launched my journey into becoming a data scientist, and three years later I'm becoming a lot stronger with it.

In terms of advice, the right partner can make all the difference. You need somebody who you can bounce questions off of when you get stuck, because you're going to get stuck, it's just inevitable. If you haven't implemented data science and predictive modeling before, you're always going to hit a challenge that is unique to your data, or to your process, and you need somebody who can lend the weight of experience to just talk you through it.

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You should analyze your needs and your data, your projects. There is a lot of choice in data analytics. Which one is best depends on your needs and your budget. It depends on what you are looking to achieve.

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If you're hiring a data scientist, you don't need IBM SPSS Modeler. If you only have an MBA who needs to be running proofs of concept, then buy IBM SPSS Modeler.

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I have not used the visual modeling capability very much.

Most important criteria when selecting a vendor: As we are part of the government, we put up a proposal (an RFP). The government always select the lowest price meeting the requirements. That is who wins it. It is out of our control. We do not choose a vendor. It is a process.

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If I had a colleague that was looking for a status analyzer I would recommend that they get started with SPSS. And if they want to go further I would suggest another option like SAS. Because, once again, you'll have more power to develop the algorithms, to improve the algorithms.

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I would recommend this product, although it depends on the nature of the business. Those in the public sector or semi-government organizations who are supposed to report a lot of impact assessment from different perspectives such as healthcare and education will have pretty decent output and results. 

We have been happy with this tool, although now the times have changed. There is some commercial pressure for us to implement something that is cheaper.

I would rate this solution an eight out of ten.

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Once you get to the limits of Excel, then you go out and get your pick. Go with a product you know and a vendor you already know

Most important criteria when selecting a vendor: We have familiarity with this vendor already. We are already in IBM shops, so it made it easy to go after those products because we already had a good relationship with them.

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SPSS and TM1 are so versatile that it depends on how you set it up within your company and with whomever guides them through it, because it is so customizable. You need a good guide and what you want out of it, as it is very transparent.

Most important criteria when selecting a vendor: ease of use. They should be able to handle our unique situation. We have many branches with many moving parts, and also a lot of internal customers.

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It is a great tool even for an individual with no or basic predictive modeling experience. Due to the very detailed online documentation and examples that IBM SPSS Modeler provides, even a novice employee can start using the tool and become productive in a short period of time. When it comes to advanced users that prefer to code in Python or R, IBM SPSS Modeler offers the capability to write Python or R code and create nodes for each specific task that can be easily reused just by drawing and dropping the nodes on the canvas.

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I would recommend IBM SPSS Modeler for people who need to do statistical analysis of this type.  

On a scale from one to ten (where one is the worst and ten is the best), I would rate this product as an eight-out-of-ten. It does the job.  

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I would recommend SPSS to someone who has just started trying to run a lot of modeling, it's a good starting point. It is very easy to use and will do the basics.

It does what it needs to do, but it's simple. If I want to modify things, then maybe I need to find something else.

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It's a great software for advanced users, users should have a background in statistics, sql server and strategic planning, preferably the software is for strategic planning offices and business intelligence units. View full review »

I would advise my colleagues to use SPSS, depending on the work that they want to do. Though for complex issues I might advise them to use better software. 

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