Version 1 & SPSS FAQs

With more than 20 years of highly successful training programmes, Version 1 can offer you a wide range of options for learning how to optimise your use of IBM SPSS Software and achieve higher results.

Our training is delivered by experienced analytical consultants that provide you with insider knowledge on all aspects of SPSS, with topics ranging from statistical analysis and survey research to data mining and predictive analytics.

Our delivery approach is based on practical learning cases to enable you to practice what you learn throughout our courses. We cater for all levels of expertise on our Public Courses, and our Tailored Training sessions are designed specifically for you, customised to meet your requirements.

The role of Technical Support is to help you resolve technical problems that prevent you from using the software in the manner and in the Operating Environment that it was designed and documented to operate.

Technical Support provides support on all the current IBM SPSS products and UNICOM Intelligence (formerly IBM SPSS Data Collection). Version 1 also supports software two releases back from the current release for a period of one year from the date of the new release. You can log a support ticket here.

The Technical Support team also provide installation documentation, license codes or replacement media.

The letters “SPSS” mean something different today than when the product was conceived. In 1968, when the company was founded, SPSS stood for Statistical Package for the Social Sciences.

Evolving from our academic roots to becoming a leading analytical solutions provider today, we simply use the name SPSS. Our solutions now are is helping our customers realise significant business value by becoming more predictive and making smarter business decisions.

Predictive analytics helps connect data to effective action by drawing reliable conclusions about current conditions and future events.

Like enterprise resource planning (ERP), Predictive analytics is both a business process and a set of related technologies. Predictive analytics leverages an organisation’s business knowledge by applying sophisticated analysis techniques to enterprise data. The resulting insights can lead to actions that demonstrably change how people behave as customers, employees, patients, students, and citizens.

The predictive analytics process begins by exploring how specific business issues relate to data that describes people’s characteristics, attitudes, and behaviour.  These numeric and free-form data sets, which originate from both internal systems and third-party providers, are cleansed, transformed, and evaluated using statistical, mathematical, and other algorithmic techniques. These techniques generate models for:

• Classification
• Segmentation
• Forecasting
• Pattern recognition
• Sequence and association detection
• Anomaly identification,
• Profiling
• Propensity scoring
• Rule induction
• Text mining
• Advanced visualization

Combining predictive analytics models with organisational business knowledge provides insight into such critical issues as customer acquisition and retention, up-selling and cross-selling, fraud detection, and outcome improvement. Through measuring uncertainty surrounding these issues, predictive analytics enables proactive risk management, refining key decision-making processes through controlled, iterative testing of potential actions and their likely intended and unintended consequences. These findings and their corresponding business rules can then be deployed within front-line operational systems. They can be used to identify new revenue opportunities, measurable cost savings, repeatable process improvements, and sustainable competitive advantages.

Predictive analytics carries strategic and tactical ramifications for organisations that recognize the inherent value locked within their existing enterprise data. Strategically, predictive analytics provides a quantitative foundation for rapidly identifying, objectively evaluating, and confidently pursuing new market opportunities. Tactically, predictive analytics identifies precisely whom to target, how to reach them, when to make contact, and what messages should be communicated.

The cost of IBM SPSS software depends of:

• The number of users.
• The type of license, i.e. concurrent or named user.

For more information on the costs of specific software please contact us directly.

Please feel free to contact us via spssadmin@version1.com or fill out the contact form.

A single-user license (also known as a named-user license) allows you to install the software on a fixed number of machines. You will have a different license code for each machine.

Concurrent-based licenses allow an unlimited number of installations of the software but only a specific number of users to access the software at one time. The users may be based across multiple departments. If you purchase a two-user concurrent license, an unlimited number of users can install the software on their computers. However, only two users will be able to access the software simultaneously.

There are 2 term types of SPSS licence:

1. Fixed Term Licences: These last for 12 months only. After 12 months the licence expires. This comes with 12 months of Technical Support.
2. Perpetual Licence: These licences do not expire, however, they only have 12 months of IT Support. Technical Support can be renewed annually.

The annual maintenance fee includes ongoing use of the software, ad-hoc technical and statistical support and all software upgrades. The maintenance is invoiced annually on the anniversary of purchase.

For more information, the Licensing and Installation FAQs section answers to the most commonly asked questions regarding licensing and installation.