Data Mining Software RapidMiner enables automated product

Tag : Customer Data
to serve them to maximize customer satisfaction and retention onthe one side and profits on the other side.

Customer cards and loyalty bonus programs have become common amongretailers. On one hand, customers are bound by granted bonuses, andon the other hand, retailers gain enormous amounts of data aboutcustomer histories. Re-occurring patterns in customer behaviourenables predictions of the customers' behaviours and of theirinterests. However, these enormous amounts of data make a manualuse of the data infeasible. The solution is RapidMiner, the leadingopen-source data mining software. RapidMiner finds previouslyunknown useful patterns in the customer transaction data. Incontrast to classical hypothesis- or query-based data analysistools, the user does not need to know in advance, what exactly heis looking for. Instead, RapidMiner leads the user to the relevantinformation. The analysis of the customer transactions providesinsights into the customers' behaviours and allowing to predicttheir buying decisions and to increase sales and profits byrecognizing and utilizing up- and cross-selling potentials. In anup-sell, a customer buys a higher-valued product or service thanoriginally planned. An insurance company may for example sell to acustomer not only the requested basic car insurance, but possiblyupgrade it to include additional features with an extra price tagon them like included insurance coverage for rental cars in foreigncountries, if the customer likes to travel. The customers therebyreceives a higher-valued product better tailored to his needs,while at the same time the insurance company achieves a higherprofit margin with that customer. So, at the end, both are moresatisfied thanks to the merits of data mining. In a cross-sell, acustomer buys further products in addition to the product heoriginally planned to buy. In order to achieve this, onlineretailers recommend related products to the one currently selected,e.g. products other customers bought together with the product athand. An insurance company may for example offer a life insurancein addition to the requested car insurance, if the customer asksfor a quote for an insurance for his family car. If done well andmatching the customers life situation, context, interests, anddesires, this leads to significantly increased customersatisfaction and loyalty. Using intelligent market basket analysisand mining customer histories, RapidMiner enables both retailersand sales departments to identify and appropriately leverage suchup- and cross-selling potentials. Training courses and servicesprovided by Rapid-I, the company offering this powerful open sourcedata mining software free of license fees to end-users, helpcompanies to get started quickly with RapidMiner and with boostingtheir businesses.







About RapidMiner:

RapidMiner is he leading open source data mining software (www.RapidMiner.com ). Accordiung to a poll of the most importantweb portal for data mining and knowledge discovery, KDnuggets.com,in May 2008 among 347 data mining experts, RapidMiner is the mostwidely used open source data mining tool, the second mostfrequently employed software for data analysis overall. A study ofthe Technical University of Chemnitz presented at the internationalData-Mining-Cup 2007 (DMC-2007) compared the major open-source datamining tools and found RapidMiner to be the leading open-sourcedata mining software outperforming the others especially withrespect to its advanced technology and to its usability. Within its"Innovation Award 2008", the German initiative for small andmid-sized businesses ("Innitiative Mittelstand") awarded RapidMineras one of the most innovative open source solutions.
RapidMiner has thousands of users in more than thirty countriesworld-wide. During the last three years, RapidMiner was downloadedmore than 300,000 times. RapidMiner has thousands of users in morethan 30 countries world-wide. During the last three years,RapidMiner was downloaded more than 300,000 times. RapidMinerprovides more than 500 different modules for detecting patterns indata and for their 2D and 3D visualisation. RapidMiner supportsdata import from common data formats of other data mining tools,Excel sheets, SPSS files, all common databases, and unstructeredtext documents like news texts, e-mail messages, web pages, webblogs, PDF documents, as well as time series and audio data.


About Rapid-I:


Rapid-I ( www.rapid-i.com ) is a provider of predictive analytics,data mining, and text mining software, solutions, and servicesoffering its customers automatable intelligent data analysis oflarge amounts of data and text including automatically generatedclassification and forecasting systems. The open-source data miningspecialist Rapid-I enables other companies to use the latesttechnology for intelligent data analysis and for the discovery ofstill unused company knowledge from existing data. Rapid-I won thehighly rewarded Open Source Business Award (OSBA 2008). Rapid-I hasa broad user and customer base in more than 30 countries world-wideincluding top companies like Ford, Honda, Nokia, Miele, Philips,IBM, HP, Cisco, Merrill Lynch, BNP Paribas, Bank of America,mobilkom austria, Akzo Nobel, Aureus Pharma, PharmaDM, Cyprotex,Celera, Revere, LexisNexis, and Mitre as well as many small andmid-sized companies. Rapid-I is headquartered in Dortmund, Germany.Besides of its since 2001 continuously improved data miningsoftware RapidMiner, Rapid-I offers its customers a broad range ofservices including consulting, trainings, professional support,software development, customization, and extensions as well ascomplete data analysis services from a single source. Furtherinformation is available at www.rapid-i.com .


Address: Rapid-I GmbH, Stockumer Stra