IBM SPSS Modeler Previous Solutions

Business75a1
Business Intelligence Manager at a manufacturing company with 1,001-5,000 employees
I came to the World of Watson Conference in 2015, and when I saw SPSS Modeler and what it could do, I just sampled it, and it really, to me, spoke volumes about some of the inefficiencies in the way we were doing business. And, as a brand new BI practice at a company that never had one before, I was just trying to build my practice from the ground up, and I didn't want to limit it to just BI reporting, so I took on the challenge of bringing in this new software, and staking my reputation on it, and it's paying off. The reasons we eventually chose this solution were that we were made a very good deal on the Gold package, which gave us more capability. I think without Collaboration and Deployment Services it wouldn't have been a worthwhile investment for us and it would have failed on the deployment. So that deal we got on the Gold package really sealed the deal for us. What's most important when selecting a vendor is the proven practice of the product. Knowing that the product has had success for numerous other customers in the past for similar use cases, for similar types of customers. I think knowing that there are a variety of partners out there with expertise in the product is a very strong selling point for me. I don't like going to things where I can't get help, if I get stuck. View full review »
ScottMiller
IT Specialist at a government with 51-200 employees
We were using Excel and beating the heck out of it. We realized with Excel reaching its limits that we need to find out other options. We started to use R, then uncovered this IBM solution by our actual IBM rep, who found that we had licenses for this parked at another location that were not being used. So, we decided to jump right in and we got some training on it. View full review »
Jerry Crabb
Director of Engineering at a logistics company with 1,001-5,000 employees
The organization did not have a solution before this one. I was familiar with SPSS having worked there. I knew its capabilities and got them involved on the front-end. View full review »
Find out what your peers are saying about IBM, SAS, Knime and others in Data Mining. Updated: November 2019.
382,547 professionals have used our research since 2012.
AltanAtabarut
Founding Partner at Altdata Analytics
I used SAS Enterprise Guide and Enterprise Miner. Compared to those, SPSS Modeler is easier to learn and utilize. when compared to Alteryx, Alteryx is a much more userfriendly tool to use. I switched to Alteryx because it can do ETL on big data, has extensive abilities in spatial analytics. View full review »
VpDataAn413c
Vp, Data And Analytics at a financial services firm with 1,001-5,000 employees
We already had SAS, we had R. It’s all legacy and it’s all homegrown. But we had an IBM shop also. View full review »
Michael Mance
Analyst at a transportation company with 10,001+ employees
Previously, we were using an ad hoc system that we developed in-house. It was based on Access databases spitting data back into Excel. View full review »
Analyste076
Analyst at American Airlines
We use multiple vendors, so we were trying to see which one would give us the most benefit. In selecting a vendor we want to see the capability and the flexibility to display the data that we want, and also being able to manipulate the data in real-time. View full review »
UnitMana92c0
Unit Manager at a insurance company with 1,001-5,000 employees
We have SPSS know-how in our company, and other products are not as stable as SPSS. Also, we have local support in Turkey. View full review »
Charles-Antoine Drouin
Bi Analyst at Health Canada
We were not previously using a different solution. View full review »
ProductMe855
Product Manager at a financial services firm with 10,001+ employees
I'm not in the budget decisions, but IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level. View full review »
Find out what your peers are saying about IBM, SAS, Knime and others in Data Mining. Updated: November 2019.
382,547 professionals have used our research since 2012.
Sign Up with Email