Make sense of the complex data analytics and predictive analytics markets with exclusive articles, resources and research studies. Find out how to evaluate and deploy data analytics and predictive analytics software, read recent analytics case studies and learn more about related disciplines such as business intelligence, text mining, data mining, mobile analytics, sales force analysis and retail analytics.
Business intelligence analyst career advice
01 Nov 2007 EXPERT ANSWER - Learn how to start a business intelligence analyst career and find out what industries are healthiest right now, according to a BI expert.
Law enforcement data mining and predictive analysis: Techniques and tools
Colleen McCue | 12 Sep 2007 CHAPTER DOWNLOAD - Learn various data mining techniques -- such as discovery and prediction, and confirmation and discovery -- and read about data mining tools and trends in law enforcement.
Customer intelligence: From data to dialogue
Sean Kelly | 22 Feb 2006 CHAPTER DOWNLOAD - Learn about the business value of customer intelligence and how customer intelligence is critical to building competitive advantage.
Customer analytics has been the "next big thing" for CRM for the last five years, but deployments are still limited. This webcast will describe key requirements and ways to better leverage customer data.
Howard Dresner predicts the future of business intelligence Published by: SearchDataManagement.com | 07 Apr 2008 PODCAST - Howard Dresner lends his take on the business intelligence market from the floor of the Gartner Business Intelligence Summit in Chicago.
data analytics
04 Jan 2008 WORD - Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is used in many industries to allow companies and organization to make better business ...
RFM analysis
27 Jun 2001 WORD - RFM (recency, frequency, monetary) analysis is a marketing technique used to determine quantitatively which customers
are the best ones by examining how recently a customer has purchased (recency), how often they purchase ...
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