Oracle Data Mining Solutions

Oracle Data Mining solves a wide range of business and technical problems, both those specific to a particular industry as well as problems common across industries. Here are a few examples of business problems by industry:

Retail
 · Customer segmentation
 · Response modeling
 · Recommend next likely product
 · Profile high value customers
Banking
 · Credit scoring
 · Probability of default
 · Customer profitability
 · Customer targeting
Higher Education
 · Alumni donations
 · Student acquisition
 · Student retention
 · At-risk student identification
Life Sciences
 · Drug discovery & interaction
 · Common factors in (un)healthy patients
 · Cancer cell classification
 · Drug safety surveillance
Insurance
 · Risk factor identification
 · Claims fraud
 · Policy bundling
 · Employee retention
Healthcare
 · Patient procedure recommendataion
 · Patient outcome prediction
 · Fraud detection
 · Doctor & nurse note analysis
Telecommunications
 · Customer churn
 · Identify cross-sell opportunities
 · Network intrusion detection
Manufacturing
 · Root cause analysis of defects
 · Warranty analysis
 · Reliability analysis
 · Yield analysis
Public Sector
 · Taxation fraud and anomalies
 · Crime analysis
 · Pattern recognition in military surveillance
Automotive
 · Feature bundling for customer segments
 · Supplier quality analysis
 · Problem diagnosis
Chemical
 · New compound discovery
 · Molecule clustering
 · Product yield analysis
Utilities
 · Predict powerline / equipment failure
 · Product bundling
 · Consumer fraud detection
 


 

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