Typically, when you embark on a data mining project, you will have a question to answer instead of just analyzing all the data you have. For instance, a business would like to know why customers are leaving, what items are bought together, or what areas of the business are having operational issues. Relevant information is collected, cleaned, and suitable methods applied and results analyzed. Good projects also examine to see if patterns found are robust and can be used in practice. The final insights can aid teams in their decision making process, however it is important that they interpret these insights in conjunction with business knowledge. For companies that are considering structured data analysis, Datalance can come in handy.
