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data mining

Exploring and analyzing detailed business transactions. It implies "digging through tons of data" to uncover patterns and relationships contained within the business activity and history. Data mining can be done manually by slicing and dicing the data until a pattern becomes obvious. Or, it can be done with programs that analyze the data automatically. Data mining has become an important part of customer relationship management (CRM). In order to better understand customer behavior and preferences, businesses use data mining to wade through the huge amounts of information gathered via the Web. See data miner, Web mining, text mining, OLAP, decision support system, EIS, data warehouse and slice and dice.




Doing It Automatically
This BusinessMiner analysis determined that the most influential factor common to non-profitable customers was their credit limit. (Image courtesy of SAP.)






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Before/After Your Search Term
BeforeAfter
data managementdata mirroring
data management systemdata model
data manipulationdata modem
data manipulation languagedata module
data marshalingdata mover
data marshallingdata name
data martdata network
Data Matrixdata normalization
data migrationdata overload
data minerdata packet

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