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

Vizlib helps us make better use of our data and significantly improves our use of Qlik. If you use Qlik Sense, you need Vizlib. It provides charts and functionality that is necessary to visualize and work with data successfully. It does a great job with our data which comes from a variety of systems and files.

• 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

• Performance on large data sets
• Training courses
• Nonprofit pricing

We have figured out how to use Vizlib features on our own on many occasions. Whenever we do run into questions, the support team is very helpful and able to help us figure out how to do things quickly. I feel features are more advanced, but we know the depth is there when we’re ready to use it

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

We chose Vizlib because we use Qlik Sense as our main dashboard tool. It is easy to use by our few developers. We are able to build custom visualizations and theme our dashboards with our branding which resonates with our community. Compared to other tools, it is much easier and intuitive to use, because we don’t have to learn coding

• 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