IBM SPSS Modeler vs. Lightning Tools Data Viewer

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

Lightning Tools Data Viewer is well suited for re-surfacing data and customizing its look and feel.

• 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

• Shows Lists created on different sites to be seen and controlled on another site in a Tenant
• Allows selection of layouts and coloring way beyond what other programs do.
• Easy to learn and very functional.

• 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

• Data Viewer has a graph feature that is old school flat design. We loved the In House real 3D graph Lightning Tools program.

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

Incentivized

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

Lightning Tools Data Viewer is much easier and more powerful than Infowise similar viewer in their lineup. In this case, we use Data Viewer over the one offered by Infowise.

• 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

• It allows us to do things that would take a great deal more time to duplicate in SharePoint
• It cuts down on ugly looking built in SP list layouts
• Users find it easy to access, thus this product is more productive