Data Mining

Whether formally or informally, every business collects information about its customers. Analyzing this information is a critical part of business intelligence called data mining. The internet and other integrated data systems have increased the opportunities for gathering consumer data. Even small companies can now afford to implement powerful data mining techniques that analyze the attributes and habits of customers. Dissecting and putting massive amounts of consumer information to profitable use is the challenge of data mining.

Profiling and segmenting sections of customers has allowed a highly personalized shopping experience, a key to Amazon.com’s success. Data mining tools and methods can be used to create targeted ads or provide personalized service to increase customer loyalty. CRM professionals use mined data to identify high-value customers and pitch the most relevant products and services to them. Websites now use dating mining to develop profiles of customer groups that in turn power data-driven automation.

Data mining tools and software facilitates the automated analysis of large data sets to discover hidden patterns and trends, improving customer service and increasing the amount of business with the customer. Innovative new software is constantly being released like recent data mining applications that allow text mining of surveys and customer comments or that mine the web and other unstructured data sources.