The document discusses several case studies and applications of data mining including:
1) Customer attrition prediction helped a mobile phone company reduce attrition rates from over 2%/month to under 1.5%/month.
2) Credit risk models used by banks to predict loan defaults enabled proliferation of mortgages and credit cards.
3) Amazon's product recommendations were successful by clustering customers based on products purchased.
4) A case study of MetLife found $30 million in fraudulent insurance claims through data mining of a $50 million consolidated database within companies worldwide to detect fraud like rate evasion faster than manual methods.