Basis for data-driven decisions.
IBM SPSS Modeler is a tool that can be used to model and execute data science and data mining tasks via a graphical user interface. The objective is to make or prepare data-driven decisions in order to achieve better business results or manage risks.
New business opportunities, opportunities to increase efficiency and minimise risk.
The IBM SPSS® software platform offers statistical analysis, an extensive library of machine learning algorithms, text analytics, open source extensibility with Python and R, and integration with Big Data applications. Its ease of use, flexibility and scalability make IBM SPSS suitable for users with different skill levels and projects of all sizes and complexity. Thus, the use of SPSS offers new business opportunities, possibilities to increase efficiency and to minimise risks.
Know-how. Approach. Accompaniment.
Even though IBM's SPSS Modeler is easy to use, the approach to data science and the domain knowledge are crucial for the success of the project.
Our consultants are trained in the use of the SPSS Modeler as well as in the approach and mathematical background. The Data Scientists are also proficient in other programming languages such as R and Python in order to find the optimal solution for the Data Science project. We prefer to follow CRISP-DM, an approach that was described and used very successfully years ago by leading providers and users.