Businesses use data mining to analyze the information they have collected about their sales, products and customers to try and find useful patterns and trends in it bandar judi slot. Businesses using Big Data to try and grow their companies are quickly learning that collecting the information is only one-half of the equation. Once they have all of their data, the next key step is trying to make sense of it all.
One way businesses can turn the information into something useful is through data mining. Data mining is a process used to analyze raw information to try and find useful patterns and trends in it daftar judi slot. Jean-Francois Belisle, director of marketing and performance at the digital agency K3 Media, describes data mining as the process of discovering insights in large datasets by using statistical and computational methods.
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“A data miner is like (the magician) Criss Angel that will make appear from your messy ocean of data, insights that will be valuable to your company and may give you a competitive advantage compared to your competitors,” Belisle wrote on his website.
Because businesses are collecting data for all aspects of their operations, data mining can be used in a variety of ways. In Herbert Edelstein’s book “Introduction to Data Mining and Knowledge Discovery,” Third Edition (Two Crows Corporation 1999), he writes that innovative organizations worldwide are already using data mining to locate and appeal to higher-value customers, to reconfigure their product offerings to increase sales, and to minimize losses due to error or fraud
“Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions,” Edelstein writes in the book.