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Warehouse based Intelligent Banking Transaction Analysis System
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Warehouse based Intelligent Banking Transaction Analysis System

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Transcript

  • 1. BY Bibek Subedi (066 BCT 506) Dinesh Subedi (066 BCT 512) Jivan Nepali (066 BCT 517) Laxmi Kadariya (066 BCT 518)
  • 2. BACKGROUND  Data warehousing ? is the process of data asset acquisition, organization, and management.  Decision Support ? is the application of managed data assets to business and clinical decision making needs to achieve business intelligence  Business Intelligence (BI) ? is the transformation of data into information, and through discovery, transforming that information into knowledge
  • 3. NEED OF BI IN BANKING SECTOR OF NEPAL Competitive Market High Churn Rates Massive Data Collection
  • 4. ATM CARD SKIMMING & COUNTERFEIT CARD FRAUD A smaller skimmer that looks just like a normal card entry slot and attached to the ATM rain cover.
  • 5. OBJECTIVES Debit card fraud detection Customer churn behavior prediction CRM (Customer Relationship Management) with customer segmentation
  • 6. DESIGN APPROACH
  • 7. PLATFORM & TOOLS ETL Tool: Korn Shell (ksh) Scripting Database: Oracle 11g Presentation/ Front-end Tool: OBIEE 11g Project Management Tool: Redmine Version Control Tool: Subversion (svn)
  • 8. ANY QUESTIONS