In focus

Data Mining Study 2011

Testing the Latest Analysis Software Using the Example of Customer Segmentation at a Financial Service Provider

The Data Mining Study 2011 focuses on customer relationship analytics and compares four data mining tools and suites. Each tool was put to the test in a specific scenario that covered all the aspects of a typical analysis project: from preparing data through creating customer segmentation, interpreting the results, and applying the segmentation in practice when classifying new customers. What’s more, numerous tips – for example, about the best approach to take or how to put the knowledge gained to practical use in CRM processes – make the study an ideal handbook for CRM or data mining projects.

Order Study

  • target-group selection on mass data

    Target-group selection amongst millions of customers with even more transaction and other bevioural data is a challenge to any software environment. mayato explains architectures and strategies.

  • BI architectures for intelligent CRM

    Analytical Customer Relationship Management (CRM) has much more to offer than just reporting and monitoring of customer-related processes. Predictive Analytics can make customer interactions smarter and more successful, as mayato analyst Dr. Marcus Dill explains on crmmanager.de.

  • customer segmentation in retail

    Retail is among the most competitive industries with price-sensitive and ever-changing customer behaviour. These challenges can be mastered with profound customer segmentation analysis as mayato CRM expert Peter Neckel details on crmmanager.de.

     

     

  • Terabyte was yesterday, today is petabyte

    mayato BI expert Dr. Marcus Dill interviewed by IT Director on the potentials of big-data analyses.

  • Implementation of SAP BusinessObjects 4.0

    A new mayato Case Study describes a recent project to setup  the BusinessObjects Suite SAP BI 4.0 for standard and ad-hoc reporting.