BANKING BIG DATA CONCEPTS · IFW Education THE NINE DATA CONCEPTS Involved Party IP All participants about which the FI wishes to maintain information. Arrangement AR An agreement

BANKING BIG DATA CONCEPTS

By: Ehsan Banihashem

BIG DATA SOURCE

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AR

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INSIG

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INTEGRATION BIG DATA

Compliance Use Case

Customer and Market Insight Use Case

Transactional Data Volumes Use Case Business Context

Framwork Model

content

IBM

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THE B

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UDM Business Areas

Manufacturing

Telecommunication

Health Care

Insurance

Financial Services

Investment & Securities

Travel

Professional Services

E-Commerce

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IBM

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BUSINESS TERMS

The Financial Services Data Model comprises over 7,400 business

definitions, grouped into nine conceptual categories.

This facilities initial navigation of the models by providing a logical

grouping structure for business terms.

STRUCTURING THE MODEL INTO MAJOR TERMS

IFW Education

THE NINE DATA CONCEPTS

Involved Party

IP All participants about which the FI wishes to maintain information.

Arrangement AR An agreement between two or more Involved Parties.

Condition CD Specific requirements that pertain to how the business of the FI is conducted.

Product PD The goods and services managed and/or sold by the FI and other Involved Parties

Location LO A place where something can be found, or a bounded area.

Classification CL Categories that apply to one or more Data Concepts.

Business Direction Item

BD The manner in which an IP wishes to carry out its business.

Event EV A happening about which the FI wishes to keep information.

Resource Item

RI Any value item that is of specific interest to the FI.

IFW Education

All part icipants about which the Financial Inst itution wishes to main information e.g.. organizat ion, individual, etc.

An agreement between two or more Involved Part ies

Specific requirements that pertain to how the business of the Financial Inst itution is conducted.

The goods and services managed and/or sold by the Financial Inst itution and other Involved Part ies

A place where something can be found, a physical address or a bounded business area.

Categories that apply to one or more of the other data concepts.

The manner in which an Involved Party wishes to carry out its business.

Any value item that is of specific interest to the Financial Inst itution.

A happening about which the Financial Inst itution wishes to carry out its business.

Involved Party

Classification

Arrangement

Event

Location

Resource Item

Condition

Product

Business Direction Item

IP

PD

AR

RI

CD

LO

CL

BD

EV

Individual

Mortgage Loan

Mortgage Product

Dublin

Interest Rate

Repayment

House

Business strategy

Professional Married Individual

opens

based on the banks product

In a branch in

with a variable

and fixed monthly

where the underlying collateral is the

The new product was based on a

who belongs to a segment of

9 Data Concepts – key to data definition across all models

IFW Education

Arrangements (AR) Agreements

Contracts

Treaties

Other arrangements between involved parties

Business Directions (BD) comprises variables that can control the direction of the business, such as: Goals

Regulations

Policies

Involved Parties (IP) are parties involved in the business, such as: People

Organizations

Parts of organizations

Classifications (CL) apply to more than one of the other eight concepts, such as;

Market segment

Language

Conditions (CD) govern the performance of, for example:

Products

Arrangements

Events (EV) , for example:

Business activities

Transactions

Locations (LO) , for example:

Places

Addresses

Areas

Products/Service (PD) are products and services of interest to the business.

Resource Items (RI) are Items of value to the business, such as:

Documents

Real estate

Data Concepts

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Arrangement Involved Party Condition Product

Location Classification Business Direction

Event Resource Item

هم پای

هیفا

می از

ل کاربردمثا

قرارداد

افتتاح حساب

اشخاص

بانک |مشتری

مکان

آدرس شعبه

محصول

سپرده کوتاه مدت

رویذاد

افتتاح حساب توسط کاربر بانک

جهت گیری کسب و کار

افزایش منابع بانک

شرایط

نرخ و مدت سپرده

منبع

دفترچه پرینتردستگاه

طبقه بنذی

نوع مشتری

FSD

M –

GEN

ER

ATIO

N O

F E

R

MO

DELS

Loans

System

Credit

System

Data

Warehouse

Entity-Relationship Models can be generated from FSDM Scopings

GEN

ER

ATIO

N O

F

FU

ND

AM

EN

TAL E

NTITIE

S

The set of Concept Classification (subtype) hierarchies will form the "skeleton" of an implemented ER model

All other data attaches to this skeleton

Known as Fundamental Entities

GEN

ER

ATIO

N O

F A

TTRIB

UTIV

E

EN

TITIES

The set of Concept Descriptor (property) hierarchies will form the attributes of an implemented ER model

Also supplementary entities known as Attributive Entities e.g. repeated data

GEN

ER

ATIO

N O

F

ASSO

CIA

TIVE E

NTITIE

S

The set of Concept Relationship hierarchies will form the relationships of an implemented ER model

Also many-to-many entities known as Associative Entities

Concept Concept

Classification

Concept Relationship Type

Concept Relationship

Concept Descriptor

Concept Descriptor Type

The A Level Template

Associative Structures

Fundamental Structures

Attributive Structures

C Prime Structures

Concept/Concept

Relationship Concept Concept

Descriptor

Concept/Concept

Relationship

Type

Concept Type Concept

Descriptor Type

Fundamental

Concept

Attached

Relationships Attached

Descriptors

Concept Concept

Classification


Concept

Subtype Concept

Subtype Concept

Subtype Set

2

Classifying Entity 1

3

Concept

Concept Classification

Classifying Entity 2

4

Concept

Concept Classification

Concept/ Concept

Classification

Concept

Attribute

1

-Concept Classifying Attribute

Concept Concept

Classification


Supertype/Subtype Structures for the 9 concepts form the ‘Backbone’ of the Model

Concept 1 (e.g. AR)

Supertype

Subtype

Subtype Subtype

Subtype

Subtype

Concept 3 (e.g. LO)

Subtype

Subtype

Supertype

Concept 2 (e.g. IP)

Supertype

Subtype

Subtype Subtype

Classification Model - Fundamental Hierarchy

Individual

Individual

INDIVIDUAL

EMPLOYMENT STATUS

Working Individual

Unemployed Individual

Logical Model


Individual

Individual

Logical Model

INDIVIDUAL

EMPLOYMENT STATUS

Working Individual


INDIVIDUAL EMPLOYMENT STATUS

{Working Individual:Unemployed Individual}


Individual

Individual

Logical Model

INDIVIDUAL

EMPLOYMENT STATUS

Working Individual


Working Individual


INDIVIDUAL EMPLOYMENT

STATUS

Logical Model


Individual

Individual

Logical Model

INDIVIDUAL

EMPLOYMENT STATUS

Working Individual


INDIVIDUAL

EMPLOYMENT STATUS

Unemployed Individual}

{Working Individual:

Logical Model


Individual

Individual

Logical Model

INDIVIDUAL

EMPLOYMENT STATUS

Working Individual


INDIVIDUAL

EMPLOYMENT STATUS

Unemployed Individual}

{Working Individual:

Employment

Status History Item

Concept Descriptor



Attributive

Entity

2

Concept

Concept Descriptor

Attributive

Entity Type

3

Concept


Concept Descriptor

Attribute

1

Concept

-Concept Descriptor


Concept Descriptor

The Attributive Structure needs to be attached to the model ‘Backbone’


Attributive Structure

Classification Model - Descriptor Hierarchy

Name

Organization

Logical Model

NAME TYPE

Registered Name

Common Name

Short Name

Common Name

Logical Model


Name

Organization

Logical Model

NAME TYPE

Registered Name

Common Name

{Common Name: Registered Name}

Name

Short Name

NAME TYPE


Name

Organization

Logical Model

NAME TYPE

Registered Name

Common Name

NAME

TYPE

Registered Name}

{Common Name:

Name

Short Name


Name

Logical Model

NAME TYPE

Registered Name

Common Name

Short Name

REGISTERED

NAME TYPE

Tax Name

Corporate Reg

Organisation Name

Registered

Name

NAME

TYPE

REGISTERED

NAME TYPE







Relationship

1




Relationship Associative

Entity

1 2





Relationship Associative

Entity

Associative

Entity Type

1 2 3






The Associative Structure needs to be attached to the model ‘Backbone’


Associative Structure

Logical Model

Classification Model - Relationship Hierarchy

IP/LO Relationship

Individual

IP/LO

RELATIONSHIP TYPE

IP works at LO

IP resides at LO

LOCATION works at

Logical Model

is employment location of


IP/LO Relationship

Individual

IP/LO

RELATIONSHIP TYPE

IP works at LO

IP resides at LO

LOCATION Individual

Address

IP/LO RELATIONSHIP TYPE

{IP works at LO: IP resides at LO}

Logical Model

Logical Model

IP/LO

RELATIONSHIP TYPE


IP/LO Relationship

Individual

Logical Model

IP/LO

RELATIONSHIP TYPE

IP works at LO

IP resides at LO

LOCATION Individual

Address

IP/LO

RELATIONSHIP TYPE

{IP works at LO

IP resides at LO} Address Type

SUPPORTIVE CONTENT

SU

PP

OR

TIVE C

ON

TEN

T

Basel Framework

Single Euro Payments Area (SEPA)

Generally Accepted Accounting Principles (GAAP)

International Financial Reporting Standards (IFRS)

International Accounting Standards (IAS)

Securities and Exchange Commission (SEC)

Views to support the New Basel Capital Accord

Views to support Anti-Money Laundering

Views to support Sarbanes Oxley

Views to support International Accounting Standards

Views to support Customer Insight

Views to support Accessibility

Views to support Scorecarding

Views to support MISMO

Views to support KPI

Views to support KYS

338 Project Views

De

ve

lop

me

nt V

iew

s

ANALYTICAL REQUIREMENTS

ANALYTICAL

REQUIREMENTS

Asset and Liability Management

Regulatory Compliance

Risk Management

Investment Management

Profitability

Wealth Management

Relationship Marketing

Business Solution Template

IMPLEMENTATION

IMPLEMENTATION IBM InfoSphere® Streams

IBM InfoSphere DataStage®

IBM InfoSphere Information Server

IBM InfoSphere BigInsights®

IBM DB2®

IBM InfoSphere Data Architect

IBM InfoSphere Business Glossary

IBM Cognos®

IBM PureData® System for Analytics

IBM DB2 with BLU Acceleration

IBM business analytics software

IBM Data Implementation Tools

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