In order to take of advantage of everything data mining has to offer, businesses need to use specially designed software. Numerous vendors offer them; businesses can also build their own program to fit their specific needs daftar slot online. According to the website Software Advice, data mining software lets businesses apply semi-automated and predictive analyses to parse raw data and find new ways to look at information.
“Data mining applications help users discover correlations and connections within large data sets,” Software Advice writes on its website game judi slot. “These might have gone unnoticed without these algorithms.” The software gives businesses the ability to speed up discovery with semi-automated analyses, break up customers into groups based in similar activities and demographics and predict future trends.
When searching for data-mining software, Software Advice advises businesses to consider several factors, including:
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Whether they want a stand-alone, best-of-breed data mining application, or would prefer to go with the data-mining module from their existing Enterprise Resource Planning (ERP) provider.
If they want to invest in new hardware or take advantage of cloud capabilities
If they have employees with the right skills to analyze the data.
In a survey by the business analytic and data mining website KDnuggets, some of the most popular data mining software options are R, Excel, Rapid-I RapidMiner, KNIME, Weka/Pentaho, StatSoft Statistics, SAS, Rapid-I RapidAnalytics, MATLAB, IBM SPSS Statistics, IBMS SPSS Modeler and SAS Enterprise Miner.
Some of the top options that Software Advice recommends include Prism, BOARD Management Intelligence Toolkit, Necto, Tableau and GoodData,