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Data mining is the automated process of sorting through huge
data sets to identify trends and patterns and establish relationships read Data Mining Techniques: For Marketing, Sales, and Customer Support ios read Data Mining Techniques: For Marketing, Sales, and Customer Support android 12
Data Mining Tools and Techniques What is
Data Mining?
Data mining is a popular technological innovation that converts piles of
data into useful knowledge that can help the
data owners/users make informed choices and take smart actions for their own benefit.
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Data mining is the process of finding anomalies, patterns and correlations within large
data sets to predict outcomes. Using a broad range of
techniques, you can use this information to increase revenues, cut costs, improve
customer relationships, reduce risks and more.
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data being generated each year make getting useful information from that
data more and more critical. The information frequently is stored in a
data warehouse, a repository of
data gathered from various sources, including corporate databases, summarized information from internal systems, and
data from external sources.
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Predictive analytics encompasses a variety of statistical
techniques from
data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events.. In business, predictive models exploit patterns found in historical and transactional
data to identify risks and opportunities.
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