IBM SPSS Modeler vs. Vizlib

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

I have read reviews where Vizlib is performing well. That was not our experience integrating Vizlib with Qlik Sense cloud as a write back capability. So, my experience is that integrating Vizlib with Qlik Sense cloud as a write back capability is probably not an area where they perform well

• 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

• Visualizations
• Forecasting
• Storytelling

• 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

• Vizlib promised a writeback capability that it just was not able to deliver. We bought additional developer licenses for QlikSense that were not planned in the initial Vizlib discussions, but even with they were not able to implement a writeback capability.
• I feel Support was horrible... very slow, and with inadequate expertise.

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

Incentivized

We haven't had any troubles

Incentivized

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

Incentivized

Vizlib support is awesome! We have quick turnaround times and regular updates when we open cases. It’s so good we often ask them Qlik Sense questions, rather than going to Qlik support

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

I selected Vizlib based on several positive Qlik community forum comments. It would seem that they had a different use case than we did

• 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

• Faster time to dashboards and reports
• Improved communication to donors of our key mission metrics
• Better support than from Qlik