Data mining gives business organisations a clearer view of current situation and more accurate modelling of future events.

With IBM SPSS Modeler (Clementine), your organization has access to a data mining tool that can handle a wide range of data types and analytical problems. It can help you to make your business processes more efficient by exploring relationships as deeply and as detailed as possible, while at the same time giving you a more comprehensive understanding of your customers.

Its data preparation, visualisation and predictive modelling capabilities can help you solve business problems faster and provide organisations that need to process today's vast amounts of data with an effective solution for managing their business applications. Its use makes a company more efficient in many areas. The most common of these are customer acquisition and retention, customer lifecycle value enhancement, risk management, fraud detection and prevention, and product design.

IBM SPSS Modeler is popular with public, business and academic data mining users worldwide because it enables:

• Easy access, preparation and integration of structured, text, web and research data;
• quickly create and validate models using the most advanced statistical and machine learning methods available;
• efficiently deploy complex analytical and predictive models in a scheduled or real-time manner, serving decision-makers and proposers and supporting their information systems.

Simple and seamless data mining
IBM SPSS Modeler's intuitive graphical interface allows the analyst to see each step of the data mining process as part of a stream. By interactively editing the stream, analysts and business users can jointly add business insights to the data mining process. Data miners can focus on uncovering insights instead of being distracted by technical tasks such as coding. They can strive for "thought process" type analysis, exploring data in depth and uncovering further hidden relationships.

Perfect data for perfect models
With IBM SPSS Modeler you can quickly and easily access your text, web and research data and integrate data in different formats into your predictive models. Users of SPSS products have found that using additional data sets increases the efficiency and accuracy of information retrieval from predictive models, resulting in more usable results and better conclusions.

Thanks to the IBM SPSS Text Analytics (Text Mining for Clementine) module, which is fully integrated into IBM SPSS Modeler Premium, you can extract linguistic elements from any type of text, for example, identify opinions based on language patterns. Analyse internal reports, call centre memos, customer email messages, media or press articles, blogs, etc.

Very wide range of algorithms
IBM SPSS Modeler has a wide range of data mining algorithms to meet all the needs of a wide variety of data mining applications. You can choose from a wide range of algorithms for prediction, clustering and categorization, for example:

• linear and logistic regression;
• decision trees;
• survival analysis;
• neural networks;
• SVM;
• Bayesian probability nets;
• time series models.

All algorithms can be calibrated according to the level of statistical knowledge of the users, allowing a wide range of users to build the best data mining models.

Optimising the operation of your IT system
IBM SPSS Modeler is an open application that works in an integrated way with the company's existing IT system, both in terms of data access and application of results.