Data mining is the discovery of useful patterns in data. Data mining are used for prediction analysis and classification- e.g; what is the likelihood that a customer will migrate to a competitor. OLAP, online analytical processing, is used to analyse historical data and its lies the business information required. OLAP are often used by marketing managers. Slice of data that are useful for marketing managers can be- How many customers between the ages 24 -25, that live in New York state, buy over $2,000 worth of groceries a month? Reporting tools are used to provide reports on the data. That are displayed to show relevance to the business and keep track of key performance indicators. Data visualization tools is used to display data from the data repository. Often data visualization is combined with data mining and OLAP tools. Data visualization can allow the user to manipulate that are to show relevancy and patterns. Clustering: Intuitively, clustering was the problem of ...
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