Upload
others
View
17
Download
1
Embed Size (px)
Citation preview
BANKING BIG DATA CONCEPTS
By: Ehsan Banihashem
BIG DATA SOURCE
CU
STO
MER
AN
D M
AR
KET
INSIG
HT U
SE C
ASE
INTEGRATION BIG DATA
Compliance Use Case
Customer and Market Insight Use Case
Transactional Data Volumes Use Case Business Context
Framwork Model
content
IBM
BA
NK
ING
DA
TA
WA
REH
OU
SE A
ND
THE B
IG
DA
TA P
LATF
OR
M
UDM Business Areas
Manufacturing
Telecommunication
Health Care
Insurance
Financial Services
Investment & Securities
Travel
Professional Services
E-Commerce
UN
IVER
SA
L DA
TA M
OD
EL
ZA
CH
MA
N F
RA
MEW
OR
K
INFO
RM
ATIO
N F
RA
MEW
OR
K
IBM
BA
NK
ING
DA
TA
WA
REH
OU
SE C
OM
PO
NEN
TS
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
FIN
AN
CIA
L SER
VIC
ES D
ATA
M
OD
EL (B
USIN
ESS TE
RM
S)
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
Fundamental Structures
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
Fundamental Structures
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
Classification Model - Fundamental Hierarchy
Individual
Individual
Logical Model
INDIVIDUAL
EMPLOYMENT STATUS
Working Individual
Unemployed Individual
INDIVIDUAL EMPLOYMENT STATUS
{Working Individual:Unemployed Individual}
Classification Model - Fundamental Hierarchy
Individual
Individual
Logical Model
INDIVIDUAL
EMPLOYMENT STATUS
Working Individual
Unemployed Individual
Working Individual
Unemployed Individual
INDIVIDUAL EMPLOYMENT
STATUS
Logical Model
Classification Model - Fundamental Hierarchy
Individual
Individual
Logical Model
INDIVIDUAL
EMPLOYMENT STATUS
Working Individual
Unemployed Individual
INDIVIDUAL
EMPLOYMENT STATUS
Unemployed Individual}
{Working Individual:
Logical Model
Classification Model - Fundamental Hierarchy
Individual
Individual
Logical Model
INDIVIDUAL
EMPLOYMENT STATUS
Working Individual
Unemployed Individual
INDIVIDUAL
EMPLOYMENT STATUS
Unemployed Individual}
{Working Individual:
Employment
Status History Item
Concept Descriptor
Concept Descriptor Type
Attributive Structures
Attributive
Entity
2
Concept
Concept Descriptor
Attributive
Entity Type
3
Concept
Concept Descriptor Type
Concept Descriptor
Attribute
1
Concept
-Concept Descriptor
Concept Descriptor Type
Concept Descriptor
The Attributive Structure needs to be attached to the model ‘Backbone’
Attributive Structures
Attributive Structure
Classification Model - Descriptor Hierarchy
Name
Organization
Logical Model
NAME TYPE
Registered Name
Common Name
Short Name
Common Name
Logical Model
Classification Model - Descriptor Hierarchy
Name
Organization
Logical Model
NAME TYPE
Registered Name
Common Name
{Common Name: Registered Name}
Name
Short Name
NAME TYPE
Classification Model - Descriptor Hierarchy
Name
Organization
Logical Model
NAME TYPE
Registered Name
Common Name
NAME
TYPE
Registered Name}
{Common Name:
Name
Short Name
Classification Model - Descriptor Hierarchy
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
Concept Relationship Type
Concept Relationship
Associative Structures
Associative Structures
Concept Relationship Type
Concept Relationship
Relationship
1
Concept Relationship Type
Concept Relationship
Associative Structures
Relationship Associative
Entity
1 2
Concept Relationship
Associative Structures
Concept Relationship Type
Concept Relationship
Relationship Associative
Entity
Associative
Entity Type
1 2 3
Concept Relationship Type
Concept Relationship
Concept Relationship
Concept Relationship Type
Concept Relationship
The Associative Structure needs to be attached to the model ‘Backbone’
Associative Structures
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
Classification Model - Relationship Hierarchy
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
Classification Model - Relationship Hierarchy
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
با تشکر از توجه شما