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Master Data Management A Pilot Study

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Master Data Management – A Pilot Study

Student : Gouri Pradhan

Student ID : 42351502

(2)

Presentation Structure

Initial problem specification

Related work and background information

Approach and methodology to solve the problem

(3)

Project Overview

Master Data Management - A Pilot Study

Carried out for CGSGAM

A division of CBA

Focus on Legal Entities

(4)

Master Data and Master Data Management (MDM)

• Key reference data within an enterprise

• Shared by different IT systems

Master Data

• A program undertaken to effectively manage a single accurate record of master data

Master Data

Management

(MDM)

(5)

This section covers…

Initial problem specification

Related work and background information

Approach and methodology to solve the problem

(6)

MDM Definition

MDM is a framework of processes and technologies

The aim is to create and maintain a reliable, sustainable,

accurate, and secure data environment

The data environment represents a “single version of truth”

It is used both intra- and inter-enterprise

across a diverse set of application systems,

across lines of business and user communities

(7)

DAMA-DMBOK Functional Framework for MDM

MDM Methodologies

MIKE 2.0 MDM Solution Offering

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 Analyze current business processes

 Get ‘Legal Entity’ information

 Understand links between business areas

Project Phases for Pilot MDM Project

Phase 1

Business Study and MDM Strategy Analysis Phase 2 Data Analysis and Data Modeling Phase 3 Implementation Plan  Identify current data sources  Conduct data quality analysis  Propose Target Data Model for ‘Legal Entity’

 Propose

Implementation Plan

 Provide guidelines for further work

(9)

This section covers…

Initial problem specification

Related work and background information

Approach and methodology to solve the problem

(10)

What is CFSGAM?

Financial asset management business

Manages diverse range of assets including equities, property securities, listed infrastructure

Growth through mergers and acquisitions in many global markets

It has range of diverse hardware platforms, applications suites

and in-house developed custom software

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CFSGAM Investment Management Process

Research and Analysis Portfolio Management Order Management Investment Portfolio Management Investment Accounting Reporting

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Role of Legal Entities

CFSGAM researches companies to invest in their equities

CFSGAM manages the investment portfolio for their clients

Legal entities are primarily companies or parties that issue securities

Legal entity has two roles in investment management

Legal Entity Issuers of financial securities Counterparty in a financial transaction

(13)

Key issues with Legal Entities

Different identifiers across different systems

Application specific definitions

External data sources use their own identifiers

Hierarchy of entities is not defined

No standard way of uniquely defining legal entity

ABCD Bank Ref ID:1234 Ref ID: X123 Identified by

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MDM Strategy Analysis

Fo cu s o n Dat a Driv en Pr o ces s Driv en

‘Data driven, Solution oriented’

• Focus on improving data quality of existing data

• Focus on achieving target data model to satisfy LEI standard adoption

(15)

Data Quality Analysis

Talend MDM Software used to carry out Data Profiling

• Analysis using current legal entities data extract

• Null values found in Name column, GICS Codes column, Country Code

• Duplicate records found

Analysis

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Legal Entity Identifier (LEI) Standard

A global LEI standard is proposed because:

• Recommended by the Global Financial Management Association (GFMA)

• Single, universal standard identifier for legal entities

• Will consist of a unique 20-character alphanumeric code

Legal Entity Identifier Characteristics

The accurate and unambiguous identification of legal entities engaged in financial transactions is critically important for monitoring of systemic risk by regulators.

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Structure of LEI Standard

The following six data elements will all form part of the minimum set of reference data attributes that will be required by the regulatory community on the launch of the LEI

Core Data Elements for LEI

Official name

Address of the headquarters

Address of the legal formation

Date of the first LEI assignment

Date of last update of the LEI

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Proposed Data Model for ‘Legal Entity’

All the identifiers from different systems Identifiers

Legal and all other names Name

Registered Address Address

Contact Information, Company website information General Information

Trading information for listed companies Trading Information

Regulatory Status Regulatory Information

Hierarchical relationships including ultimate parent Hierarchy

Credit Analysis/Rating information about Issuer Credit Analysis

Func

tional

Ar

ea

s

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MDM Implementation Plan

• Understand current data state • Define future data state requirements • Define scope and timeline

The phases of the proposed MDM implementation plan

Business Assessment and Strategy Definition Technology Assessment and Selection Blueprint Roadmap and Foundation Activities Design Increment Incremental Development, Testing, and Deployment • Define current state architecture • Define key functional requirements • Vendor evaluation and selection • Implement the data model • Perform end-to-end testing • Deploy into production environment and monitor • Develop logical and physical data models • Define reporting environment and dashboards • Adjust design based on the outcomes of reports • Define business rules

• Carry out data profiling and updates • Review data

quality and take corrective

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This section covers…

Initial problem specification

Related work and background information

Approach and methodology to solve the problem

(21)

Conclusion – Project Achievements

Conducted business process analysis

Performed data quality analysis

Identified current issues with data

Studied requirements of LEI standard

(22)

Future Work

Extend the scope of MDM to cover other data entities Implement end-to-end data quality framework including data and process governance Move towards Enterprise Information Management

(23)

References

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