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

PRESENTATION OUTLINE

Introduction

System Block Diagram

Data Collection

Data Extraction

Data Transformation

Data Warehouse Schema Design

Data Loading

Milestones to be Achieved

INTRODUCTION

Data warehouse based system

Debit Card Fraud Pattern Detection

Customer Churn Behaviour Prediction

Customer Relationship Management with Customer Segmentation

SYSTEM BLOCK DIAGRAM

PROJECT AMILESTONES ACHIEVED

DATA EXTRACTION & TRANSFORMATION

Customer Profile Data, Banking Transactional

Data

Bash Shell Scripting Module

Warehouse Format Data

DATA WAREHOUSE SCHEMA DESIGN

• Dimensions & Facts Identification

• Dimensions & Facts Processing

• Staging Area Design

• Target Tables Design

• Snowflake Schema

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

DIMENSIONS & FACTS

DESIGN DEMO

CUSTOMER & ATM CARD DIMENSIONS

LOCATION & TIME DIMENSIONS

ATM FACTS

DATA LOADING

From account_info.csv to ACCOUNT_STG

account_info.csv load_items.ctl

load_items_account.sh

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

PROJECT BMILESTONES TO BE ACHIEVED

OLAP Cube Formation

Analytical Reporting

Data Mining & Business Intelligence Implementation

TIME SCHEDULE

Thank You!

Questions & Answers Session