This document outlines a project to build a data warehouse for analyzing banking transactions. It includes an introduction, system block diagram, data collection, extraction and transformation, data warehouse schema design, data loading, and milestones. The project aims to enable debit card fraud detection, customer churn prediction, and customer relationship management through customer segmentation. The document describes extracting customer and transaction data, designing dimensions and facts, loading data into staging and target tables, and forming dimensions for customer, ATM card, location and time. It concludes with next steps of OLAP cube formation, analytical reporting, data mining implementation and a time schedule.

1. Warehouse based Intelligent
Banking Transaction Analysis
System
By
Bibek Subedi, 066 BCT 506
Dinesh Subedi, 066 BCT 512
Jivan Nepali, 066 BCT 517
Laxmi Kadariya, 066 BCT 518
Mid-Term Major Project Report Presentation

2. PRESENTATION OUTLINE
 Introduction
 System Block Diagram
 Data Collection
 Data Extraction
 Data Transformation
 Data Warehouse Schema Design
 Data Loading
 Milestones to be Achieved

3. INTRODUCTION
 Data warehouse based system
Debit Card
Fraud
Pattern
Detection
Customer
Churn
Behaviour
Prediction
Customer
Relationship
Management
with
Customer
Segmentation

4. SYSTEM BLOCK DIAGRAM

5. PROJECT AMILESTONES
ACHIEVED

6. DATA EXTRACTION & TRANSFORMATION
Customer Profile
Data, Banking
Transactional
Data
Bash Shell
Scripting Module
Warehouse
Format Data

7. DATA WAREHOUSE SCHEMA DESIGN
• Dimensions & Facts Identification
• Dimensions & Facts Processing
• Staging Area Design
• Target Tables Design
• Snowflake Schema

8. DATA LOADING
Source to
Staging Tables
Staging Area to
Target Tables
SQL Loader
Control File (.ctl)
sqllder Shell Script
Oracle insert-
select Query (.sql)
sqlplus Shell Script

9. DIMENSIONS &
FACTS
DESIGN
DEMO

10. CUSTOMER & ATM CARD DIMENSIONS

11. LOCATION & TIME DIMENSIONS

12. ATM FACTS

13. DATA LOADING
From account_info.csv to ACCOUNT_STG
account_info.csv load_items.ctl
load_items_account.sh

14. DATA LOADING
From ACCOUNT_STG to ACCOUNT_DM
insert_qry_account_dm.sql
script_account_dm.sh
Trigger for generating surrogate
keys in target table ACCOUNT_DM

15. PROJECT BMILESTONES TO BE
ACHIEVED

16. OLAP Cube Formation
Analytical Reporting
Data Mining & Business Intelligence
Implementation

17. TIME SCHEDULE

18. Thank
You!
Questions & Answers Session