Hadoop 사용 가능 시나리오

E-tailing

• Recommendation engines — increase average order size by recommending complementary products based on predictive analysis for cross-selling.
• Cross-channel analytics — sales attribution, average order value, lifetime value (e.g., how many in-store purchases resulted from a particular recommendation, advertisement or promotion).
• Event analytics — what series of steps (golden path) led to a desired outcome (e.g., purchase, registration).

Financial Services

• Compliance and regulatory reporting.
• Risk analysis and management.
• Fraud detection and security analytics.
• CRM and customer loyalty programs.
• Credit scoring and analysis.
• Trade surveillance.

Government

• Fraud detection and cybersecurity.
• Compliance and regulatory analysis.
• Energy consumption and carbon footprint management.

Health & Life Sciences

• Campaign and sales program optimization.
• Brand management.
• Patient care quality and program analysis.
• Supply-chain management.
• Drug discovery and development analysis.

Retail/CPG

• Merchandizing and market basket analysis.
• Campaign management and customer loyalty programs.
• Supply-chain management and analytics.
• Event- and behavior-based targeting.
• Market and consumer segmentations.

Telecommunications

• Revenue assurance and price optimization.
• Customer churn prevention.
• Campaign management and customer loyalty.
• Call Detail Record (CDR) analysis.
• Network performance and optimization.

Web & Digital Media Services

• Large-scale clickstream analytics.
• Ad targeting, analysis, forecasting and optimization.
• Abuse and click-fraud prevention.
• Social graph analysis and profile segmentation.
• Campaign management and loyalty programs.

From http://www.cloudera.com/why-hadoop/