data mining
this functionality involves the process of discovering meaningful correlations, patterns and trends by sifting through large amounts of customer data, data mining employs pattern recognition technologies, ...
Data Mining
The process of analyzing large amounts of data for patterns. This process can be used to predict buying habits, credit card purchases and cross sale capabilities.
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Data Mining: The use of statistical and other advanced software to discover nonobvious patterns hidden in a database. Learn More ...
Data Mining " Discovering patterns and relationships within customer data to reveal what customers want and how they act.
Data Mining: The process of identifying previously unknown relationships and patterns in data, in particular customer databases, to solve a business problem.
Database Modeling: Using statistical techniques to predict future customer behavior.
*Data Mining is where an organisation evaluates large Data Stores for patterns, or relationships between groups or individuals (or segments). Applications present 'patterns' in a format that can be used for marketing decision-making.
Data mining: Application of artificial intelligence to solve marketing problems and aiding forecasting and prediction of marketing data.
Dichotomous question: Questions which limit the responses of the respondent eg YES/NO.
Amid all the hype about "Data Mining" and "Data Warehousing" and "Data Copulating," etc. it's refreshing to find a point of view that puts the database into a perspective that the rest of us can understand.
Data Mining - This technique uses sophisticated software to evaluate information (e.g., in a corporate database) previously gathered by a company in hopes of locating prospects.
Web Analytics: [weba] Web Analytics is the field of data mining the data that is generated from those navigating a web-site.
Regardless of how consumers personally feel about the concepts of data mining and information personalization, it is now more of a modus operandi than it is a trend in marketing.
behavior in order to make decisions relating to products and services (e.g. pricing, product development) Management decisions (e.g. financial forecasting and customer profitability analysis) Analytical CRM generally makes heavy use of data mining.
 See also: Data, Market, Marketing, Offer, Customer
  
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