IBM SPSS Statistics vs SAP Predictive Analytics comparison

IBM SPSS Statistics is a cloud-based data analysis engine that can prove to be critical to business intelligence operations. It aims to take large caches of data and make them both useful and meaningful. Users in any field of business can use it to transform their raw data into information that they can easily leverage into solutions for any number of problems. IBM SPSS Statistics uses machine learning algorithms to mine and enrich the data that passes through it.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by deploying IBM SPSS Statistics include:

• Ease of use. IBM SPSS Statistics is simple for users to manipulate and control. The user interface is intuitive and enables users to analyze data without requiring them to have a knowledge of coding.

• Comprehensive. Instead of requiring users to invest in many different solutions to fulfill different statistics-related tasks, IBM SPSS Statistics enables users to do the work that ordinarily would require multiple solutions.

• Automation. IBM SPSS Statistics enables users to automate the data analysis process. This means that users do not need to worry that they will miss anomalies or outliers in the data.

IBM SPSS Statistics Features

• Predictive analytics. IBM SPSS Statistics gives users the ability to employ machine learning in a way that can help them predict the future. Patterns in the data can be analyzed to see if they can provide them with clues as to how they should approach their future business strategies.

• Collaboration. The solution offers tools that enable users who are on different teams or in different departments to work together on various aspects of the statistical analysis process.

• Data discovery. This feature enables users to collect and evaluate their data. These evaluations aid them in finding trends and patterns in their data.

• Data visualization. These tools enable users to represent their data in visual ways that are easy to understand.
  
  
• Data preparation tools. These features enable organizations to prepare the data for analysis and other measures that will make it useful. One such feature is anomaly detection, which scans for unusual cases in the data.

Reviews from Real Users

IBM SPSS Statistics is a solution that stands out when compared to many of its competitors. Two major advantages it offers are the sheer number of functionalities that it puts at a user’s disposal and its user-friendly system interface.

The director of systems management & MIS operations at a university writes, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it. It's a dashboard where they can get more information. And then, if they want to do a deeper dive into some things, they tell us, and we will work with the research department. We can either add or point to the field or fields and give them some more details.”

Laurence M., a professor of health services research at a university, writes, “The most valuable feature of IBM SPSS Statistics is all the functionality it provides.”

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.