We performed a comparison between IBM SPSS Modeler and Microsoft Power BI based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."
"Very good data aggregation."
"It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers."
"Compared to other tools, the product works much easier to analyze data without coding."
"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."
"It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler."
"The visual modeling capability is one of its attractive features."
"Some basic form of feature engineering for classification models. This really quickens the model development process."
"The solution is easy to use."
"Users already using Excel can generate new reports and dashboards within minutes."
"What Power BI is, is a whole collection of templates of small amounts of data that can be used to do something for a real world project, that can be easily set up and become the business intelligence environment or a data warehouse for a large amount of data, for a real world customer. That's what is remarkable."
"There is also a chart store where we can download charts, which is extremely useful."
"The best feature of this solution is the way you can plan, communicate, and visualize all the knowledge you extract from the data for the customers. I like the way you can show or visualize the information a client needs to answer a business question."
"I like the downloadable visualizations a lot. I think that they give the user a very nice starting point in creating awesome dashboards, with the right way to tell their data story."
"We encourage end users to use Power BI because it's quite easy for them to interact with the menus and the navigation bar. Even for ordinary users, they can create their own dashboard using Power BI."
"The Microsoft Power BI app is very good. It's also very flexible."
"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."
"Customer support is hard to contact."
"C&DS will not meet our scalability needs."
"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."
"Dimension reduction should be classified separately."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"It's not as user friendly as it could be."
"The platform's cloud version needs improvements."
"More connections with other systems should be added, which would allow for other integrations."
"I have to write scripts to query data for analyzing performance."
"The accounting data needs improvement."
"The reporting part of Microsoft BI is rather limited compared to other reporting tools."
"It needs a wizard that covers all its options."
"Actionable insights could be better."
"The solution could benefit by allowing deeper data analytics."
"Integration with artificial intelligence would help. Humans take time to review the data and eliminate errors. Artificial intelligence based on machine learning and understanding can bring the same functionality."
IBM SPSS Modeler is ranked 4th in Data Mining with 38 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. IBM SPSS Modeler is rated 8.0, while Microsoft Power BI is rated 8.0. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". On the other hand, the top reviewer of Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". IBM SPSS Modeler is most compared with KNIME, IBM SPSS Statistics, RapidMiner, Alteryx and SAS Visual Analytics, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
