SAP Predictive Analytics [EOL] Reviews

Name: SAP Predictive Analytics [EOL]
Brand: SAP
Rating: 4.3 (3 reviews)

Vendor: SAP

4.3 out of 5

3 reviews
100% willing to recommend

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What is SAP Predictive Analytics [EOL]?

SAP Predictive Analytics [EOL] offered a powerful platform for creating predictive models that supported business decision-making by utilizing historical data to anticipate future trends.

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SAP Predictive Analytics [EOL] is the #27 ranked solution in top Data Science Platforms. PeerSpot users give SAP Predictive Analytics [EOL] an average rating of 8.6 out of 10. SAP Predictive Analytics [EOL] is most commonly compared to Databricks: SAP Predictive Analytics [EOL] vs Databricks.

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Data Science Platforms

April 2026

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Featured SAP Predictive Analytics [EOL] reviews

Gary Cook

Executive at Empowered Analytics

My rating for SAP Predictive Analytics would be an eight out of ten. If I have to be bold, I'll probably say that we're building away hours, and we are actually putting a lot of the actual predicting stuff back into the warehouse. So running it very bi-directionally. So I'm not sure what its integration features are at the moment, but that's an area we're going to look into in the next month or so.

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Abdul-Rasool

Senior Practice Manager - Head of SAP at a tech consulting company with 201-500 employees

This solution works for acquired data but not live, real-time data. If we connect it to a live backend system then we cannot perform predictive analytics on top of that. We have to first upload data to the cloud, manage the staging environment, and then perform the analysis. In the next release of this solution, I would like to see more automation in generating the models. The system can suggest the dimensions and measures that should be used, and pre-populate some of the information based on that. Power users would not have as much need for this, but this type of automation would be very helpful for business end-users.

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it_user719352

Senior Consultant, Predictive Analytics at a tech services company with 51-200 employees

* Ease of use. Can get results quickly. * Intuitive understanding of different data types. Saves time and effort. * Descriptive statistics of my dataset. Serves as logical justification for the predictions. * Presents output in visual form (Predictive Power/Reliability, Key Contributors). Can quickly assess quality of model and gather insights at a glance. * Alerts regarding suspicious variables. Enables quick fixes to model. * Dataset modeling functionality. Can be used to quickly enrich the dataset using just a few clicks, as opposed to spending a lot of time considering the different enrichment possibilities and then spending the time to build the dataset accordingly. * Confusion Matrix. Good for setting the right threshold value.

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SAP Predictive Analytics [EOL] mindshare

As of April 2026, the mindshare of SAP Predictive Analytics [EOL] in the Data Science Platforms category stands at 1.4%, up from 0.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
SAP Predictive Analytics	1.4%
Databricks	8.3%
Dataiku	5.9%
Other	84.4%

Data Science Platforms

Key learnings from peers

Last updated Mar 26, 2026

Valuable Features

"I have found that the solution is very stable."
"We always purchase SAP support because it is very good."
"SAP Predictive Analytics is better suited for business users because it hides the complexity of the model, whereas Microsoft Azure Machine Learning provides a lot more flexibility for technical professionals to tweak the model."

Room for Improvement

"This solution works for acquired data but not live, real-time data."
"The license fee appears to be prohibitively expensive and overly secretive, leading our clients to opt for cloud-based solutions that only charge for data storage and processing time."
"This solution works for acquired data but not live, real-time data."

Pricing

"The pricing is reasonable"
"A free trial version is available for testing out this solution."

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Data Science Platforms Buyer's Guide for additional reliable information.

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Learn more about SAP Predictive Analytics [EOL]

SAP Predictive Analytics [EOL] was designed to integrate with existing SAP environments, allowing businesses to leverage their existing data infrastructure. It provided users with intuitive tools to automate data preparation and model management, simplifying complex analytical processes. Data scientists could efficiently build and deploy predictive models to address specific business questions. SAP emphasized ease of deployment and scalability, ensuring the platform met the needs of data-driven enterprises.

What are the key features?

Automated Model Creation: Streamlines the process of generating predictive models, reducing time and effort.
Data Preparation: Simplifies data cleaning and preparation, ensuring high-quality input for analysis.
Seamless Integration: Easily integrates with SAP environments, enhancing data accessibility.

What benefits should users consider in reviews?

Informed Decision-Making: Provides insights that help businesses make data-informed decisions.
Efficiency in Analysis: Reduces the time needed to develop and deploy predictive models.
Scalability: Supports expanding data needs as businesses grow.

In industries like manufacturing and retail, SAP Predictive Analytics [EOL] helped optimize supply chains and inventory management by forecasting demand trends. Financial sector users implemented it to enhance risk analysis and fraud detection models, providing valuable insights for mitigating potential risks.

SAP Predictive Analytics [EOL] was previously known as SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA.

SAP Predictive Analytics [EOL] customers

mBank

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SAP Predictive Analytics [EOL] Reviews Summary
Author info	Rating	Review Summary
Executive at Empowered Analytics	4.0	I use SAP Predictive Analytics for customer management. Its forecasting and correlation features are good, and it's stable. Setup was easy. I'm looking for better churn prediction and integration, but overall, it's an improvement over Alteryx. I rate it 8/10.
Senior Practice Manager - Head of SAP at a tech consulting company with 201-500 employees	4.5	I value SAP Predictive Analytics for its analytics, reporting, easy setup, and good support. It lacks real-time data. I rate it 9/10 for forecasting, but need more complex data for a full performance assessment.
Senior Consultant, Predictive Analytics at a tech services company with 51-200 employees	4.5	I found this solution easy to use, providing quick, visual insights and enriching data. It performs well and is suitable for business users, but the expensive license and need for improved data exploration features are drawbacks.

SAP Predictive Analytics [EOL] Reviews

What is SAP Predictive Analytics [EOL]?

Featured SAP Predictive Analytics [EOL] reviews

SAP Predictive Analytics [EOL] mindshare

Valuable Features

Room for Improvement

Pricing

Compare SAP Predictive Analytics [EOL] with alternative products

Learn more about SAP Predictive Analytics [EOL]

SAP Predictive Analytics [EOL] customers

Related questions

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Popular Comparisons