IBM SPSS Modeler vs. Qualtrics XM for Strategy and Research

Fast NLP analytics are very easy in SPSS Modeler because there is a built-in interface for classifying concepts and themes and several pre-built models to match the incoming text source. The visualizations all match and help present NLP information without substantial coding, typically required for word clouds and such. SPSS Modeler is good at attaining results faster in general, and the visual nature of the code makes a good tool to have in the data science team's repository. For younger data scientists, and those just interested, it is a good tool to allow for exploring data science techniques.

Incentivized

Qualtrics is a good medium for creating surveys and getting analytics back for it. I think it's easy to learn if you are in the business of creating surveys or if it's part of your studies. It can be a little overwhelming for a brand new user who has never created a survey for the first time. So onboarding could be better.

• Combine text and data
• Provide facilities for all phases of the data mining process.
• Use a node and stream paradigm to easily and quickly create models.

Incentivized

• Qualtrics CoreXM is easy to use for quick one-time surveys or for measuring opinions over time
• It's great for sending/managing RSVPs for meetings or other gatherings or to collect important data like Conflict of Interest declarations.
• Qualtrics CoreXM's reporting and crosstab functionality is beefy and gets better all of the time. I'm always amazed at how easy it is to generate reports for sharing my survey response data and research.

Incentivized

• Has very old style graphs, with lots of limitations.
• Some advanced statistical functions cannot be done through the menu.
• The data connectivity is not that extensive.
• It's an expensive tool.

Incentivized

• The collaborate feature can be clunky and sometimes we have to remove access and add a person back in for them to see the survey in their lists
• We have a contract through our university and more than one person has created their account in the wrong place, causing some administrative headaches as that is fixed so that we can collaborate on surveys with them.
• I wish it was easier to organize my surveys into folders, there should be a more efficient way to do that.

Incentivized

I was impressed a couple years ago when two heads of market research at Fortune 500 companies told me about them, and I've been even more impressed with the advancements I've seen in the last year. I like where the company is headed, and I look forward to using them again in a future role.

The ability to do predictive modeling, text analytics for both structured & unstructured data, decision management, optimization, and support for various data sources

Incentivized

All the menus are very user friendly and intuitive. I can always find exactly what I'm looking for and can change anything I need to with ease. All the elements of the survey are adjustable with very little effort and without confusion.

The online support board is helpful and the free add ons are incredibly appreciated.

Incentivized

Whenever we have had an issue with trying to figure out how to do something (even though the documentation is incredibly well put together) we have asked Qualtrics support and have always received our answer nearly immediately (I think in maybe 10 times, only once did a support person need to call us back). Qualtrics support is dedicated to solving customer issues right, and in the first contact, if at all possible

I still use it. It does everything you need an online survey to do. From heat mapping to complex skip logic and display logic. I use it weekly and it never disappoints

I like being able to easily integrate new colleagues by simply giving them a log in user name and password

When it comes to investigation and descriptive we have found SPSS Statistics to be the tool of choice, but when it comes to projects with large and several datasets SPSS Modeler has been picked from our customers.

Incentivized

]Qualtrics] CoreXM is great if you want something that is a little more [long] lasting and impactful than a simple survey engine, but aren't quite ready for something that is a long term sustainable program. I would put [Qualtrics] CoreXM squarely in the large, defined project phase. CX is more of the program phase, and other lessor vendors are great for the pre-project definition phase

Incentivized

• Positive - Ease of decision making and reduction in product life cycle time.
• Positive - Gives entirely new perspective with the help of right team. Helps expanding the portfolio.
• Negative - Needs to have good understanding about mathematical modelling, of which talent is rare and expensive. Hence, increase the costs for R&D and manpower.

Incentivized

• Increased productivity due to the highly intuitive user-interface and template saving capabilities.
• Reporting and analytics are extremely valuable. Our team can track responses and share feedback/results extremely quickly.
• If a user has created a great template, they can share to external teams quite easily. It helps other departments!

Incentivized