IBM SPSS Modeler vs. InetSoft Style Intelligence

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.

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It's great for the accumulation and assimilation of various data formats to be channeled into a single end-point, whether that be a table or a report. It reminds me so much of SPLUNK in that regard. The application is also very easy to use and has been configured in such a way that it is appealing and productive for both novice and expert users. I was able to pick up the basis after a solitary day's training. We've mainly used it to create bespoke dashboards and visuals, thereby allowing for effective report writing. This was a major consideration from Senior Management before the application was purchased. There haven't been any real drawbacks with the software thus far.

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• 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.

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• Easy to use with a very user-friendly interface, making onboarding with the tool a lot easier.
• Able to mash up/integrate data from different sources and file types which helps a lot with consolidation.
• Good customer service/support that makes solving problems/issues a lot faster.

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• 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.

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• I think the user interface is in need of an upgrade, as its starting to show it's age a little. It looks like it needs a rehaul in the department.
• Hopefully, the company can grow and then have more frequent interactions with their customers.
• I am slightly wary that support may not have the same proficiency at the very highest level, as my company reaches the expert user level.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

InetSoft is a more cost-effective option that offers the same functionality, features, and usability. It is a great option, especially for SMEs. It also has top-notch customer service/support which is a key factor in selecting any agency or tool. I recommend using InetSoft especially for small businesses

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• 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

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Reduction in excessive space for data storage repositories
• Faster time to analyse data and metadata. Quicker to reach objective analysis
• Conclusive informational reporting

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info