Data mining with Intelligent Miner
Data mining is an innovative way of gaining new and valuable business insights by analyzing the information held in your company database. These insights can enable you to identify market niches, and they support and facilitate the making of well-informed business decisions. Essentially, data mining is a ground-breaking way to leverage the information that your company already has in order to plan a business strategy for the future.
Data mining uncovers this in-depth business intelligence by using advanced analytical and modeling techniques. With data mining, you can ask far more sophisticated questions of your data than you can with conventional querying methods. The information that data mining provides can lead to an immense improvement in the quality and dependability of business decision-making.
Conventional methods can tell a bank, for example, which of the bank account types that it provides is the most profitable. However, only data mining enables the bank to create profiles of the customers who already have this type of account. The bank can then use data mining to find other customers who match that profile, so that it can accurately target a marketing campaign to them.
Data mining can identify patterns in company data, for example, in records of supermarket purchases. If, for example, customers buy product A and product B, which product C are they most likely to buy as well? Accurate answers to questions like these are invaluable aids to marketing strategies.
Data mining can identify the characteristics of a known group of customers, for example, those who have a proven record as poor credit risks. The company can then use these characteristics to screen new customers and to predict if they also will be poor credit risks.
Data Mining can automatically perform time series forecasts without requiring statistic skills. You can use time series forecasts to optimize warehouse stock management.
Data mining tools ease and automate the process of discovering this kind of information from large stores of data.