IBM SPSS has been getting a lot of attention lately due to increasing interest in buzz words such as big data, predictive analytics, data mining and statistical analysis. Additionally, the latest version of SPSS Statistics (version 21.0) was also released this month. But what is SPSS and how does it fit within the current solutions offered by IBM? While SPSS was announced as an acquisition by IBM in July of 2009, version 1.0 was released in 1968 as statistical software for social sciences. Since then, SPSS has maintained its foothold as a premier statistics tool while also expanding into other add-ons and complimentary applications. While SPSS Statistics has been the foundational tool, the complete family is made up of four components:
- IBM SPSS Data Collection – A complete suite of products for survey, market, or business researchers. It enables them to quickly and efficiently acquire clean data from the widest range of sources using an expansive array of methods.
- IBM SPSS Statistics – An integrated family of products that addresses the entire analytical process, from planning to data collection to analysis, reporting and deployment. With more than a dozen fully integrated modules to choose from, you can find the specialized capabilities you need to increase revenue, outperform competitors, conduct research and make better decisions.
- IBM SPSS Modeler – A data mining workbench that helps you build predictive models quickly and intuitively, without programming.
- IBM Analytical Decision Management – Empowers workers and systems on the front lines to get the most out of every customer interaction to profitably grow revenue, detect and prevent fraud to reduce risk, and proactively manage resources to contain costs.
The role of IBM SPSS today is to drive the business decision making process to the next level. While companies have reaped the benefits of traditional business intelligence through software like IBM Cognos BI and performance management solutions through software like IBM Cognos TM1, IBM SPSS compliments these solutions with real-time analytical decision management and forward looking predictive analytics. While SPSS has a long-running role in statistics, IBM has as rich a history as any in business analytics. Here is a video of the progress that has been made in business analytics through the eyes of IBM:
Overall, the addition of IBM SPSS with the current IBM stack seems to be very complimentary fit. It will be exciting to see the use of these tools in combination moving forward.