IBM SPSS Modeler vs. Plotly Dash

Modeler is well suited for understanding consumer data. The ability to create a prediction and then to understand what is driving that prediction is strong in Modeler. Modeler is closely aligned with the CRISP-DM data mining approach meaning it is not just the 'doing' but also the theoretical background behind the development of data mining models.

Incentivized

Plotly Dash suits well where you need to build a web-based reporting tool as a minimum viable product. You will be surprised when you build your first hosted web-based reporting tool in a few minutes without the need for web development expertise. However, when it comes to building a more complete solution, you may feel a bit restricted by the options provided by the API. But as you imagine, this is the cost of the abstraction of the web development layer, in other words, simplicity vs completeness. Still, Plotly Dash is a powerful option whenever you prefer simplicity over completeness.

Incentivized

• A very nice and easy to use interface.
• A great variety of analytics, from statistical calculation to data validation and predictive statistics.
• Has a steep learning curve.

Incentivized

• Simple codes to create quick graphs.
• Nice exportable figures.
• Good for the initial exploratory analysis of the data.

Incentivized

• Some Analyses aren't there out of the box but can be added through open languages like R and Python.
• Graphs could be better.
• Unable to read data stored in OLAP databases

Incentivized

• React JSX syntax support can be added/improved.
• Built-in UI components can be improved.
• The API used for AJAX calls can be made more understandable and simpler.

Incentivized

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

Incentivized

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

Incentivized

We additionally use SAS Data Miner as a toolkit. Compared to SAS Data Miner, the SPSS Modeler is a good competitor. SAS probably is more integrated in the market for a visual-based code for data science activities. However, I don't think it offers anything better than SPSS, and I really like several of the helpful components for usability for SPSS like peaks into nodes.

Incentivized

Incentivized

• I am able to study and work from home sustainably
• I can help others have a high quality university education experience to graduate confident and competent to meet gaps in the wider community
• Market research for my business
• Help other small businesses to create viable and high quality products and services
• Contribute to research projects: ethical, high quality data analyses and interpretation

Incentivized

• Reduce product monetization lead time
• Real time performance monitoring
• Deep learning to allow better marketing segmentation models

Incentivized