New to data mining? Not to worry. Data mining is the process of examining and exploring patterns in large data sets to extract favorable information and structuring it in an organized manner for further use. Data mining makes use of artificial intelligence and statistical tools to uncover hidden rules underlying the data.
So, what is the purpose of data mining? The purpose of data mining varies depending on the goal and the industry. In a general sense, data mining is majorly used by companies to predict future trends and customer behavior to make knowledge-based decisions and to get an edge over their competitors by using predictive analysis. Data mining enables companies to maintain balanced relationships among the internal and external factors to determine their impact on sales, customer satisfaction, and corporate revenues.
There are various useful tools that can aid you in data mining to resolve complications and overcome obstacles effectively in less time. We have compiled a list of some of the top data mining tools to help you analyze data and withdraw useful information for reducing expenses and improving your business profitability.
Are there any data mining tools we missed that you would recommend? Email us.
Kaggle is a platform for predictive modeling and analytics competitions on which companies and researchers post their data and statisticians and data miners from all over the world compete to produce the best models.
Oracle Data Mining (ODM) is a component of the Oracle Advanced Analytics Database Option that provides powerful data mining algorithms that enable data analysts to discover insights, make predictions and leverage their Oracle data and investment.
Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization.
Pentaho's big data integration and analytics solutions turn information into insights to help your organization gain a competitive advantage.
BOARD is an all-in-one CPM and business intelligence software solution that makes it easy for you to build any business analytics and planning applications.
Yellowfin BI's key functionalities include dashboards and scorecards, predictive analytics, online analytical processing, query and reporting writing and performance management.
Style Intelligence is a powerful data mashup software that enables a fast and flexible transformation of data from disparate sources, which can either supplement or obviate a data warehouse solution.
Dundas BI, from Dundas Data Visualization, is a browser-based business intelligence and data visualization platform that includes integrated dashboards, reporting tools, and data analytics.