1. Preface

1.1 Introduction

This manual is designed to assist you in getting acquainted with the Oracle FLEXCUBE Machine Learning framework.

It has detailed stepwise instructions to help you build Oracle FLEXCUBE Machine Learning models and process their execution.

The manual also outlines how to access and interpret the model outcomes for augmented decision making.

1.2 Audience

This manual is intended for the following User/User Roles:

Role	Function
Branch Managers	Overall Branch Perspective
Account Managers/ Relationship Managers	Customer Relationship Management
Head Office Managers	Overall Bank Perspective
FLEXCUBE Admin / IT support	Application Administration and Support

1.3 Organization

This manual is organized into the following chapters:

Chapter Number	Title	Description
Chapter 1	Preface	Information about this manual. It covers intended audiences and lists chapter information
Chapter 2	Machine Learning - An Overview	It introduces the Machine Learning context and specifically the Oracle FLEXCUBE framework
Chapter 3	Model Building Routine	This chapter contains instructions on how to build Machine Learning Models using historical Oracle FLEXCUBE data
Chapter 4	Model Execution Routine	This chapter explains how to apply Machine Learning Models on Oracle FLEXCUBE data
Chapter 5	Enterprise Dashboard	This section helps you interpret information collated across the enterprise and present a consolidated perspective of the bank
Chapter 6	Branch Dashboard	This screen helps you interpret information from the current branch perspective
Chapter 7	Customer Query Board	This allows you to query customers across the bank based on attrition Risk profile, branch code and/or segment

1.4 Glossary of Icons

This User Manual may refer to all or some of the following icons:

Icons	Function
	Exit
	Add row
	Delete row
	Option List