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www.niit-tech.com Industry Overview The huge volume of data generated by today’s enterprises presents financial institutions with both a challenge and an opportunity. How ready are you to combine the power of your enterprise data and the variety of data from external sources to meet your risk management and compliance requirements? How dynamic is your ability to monitor your ever-changing risk portfolio across the enterprise? While reporting capabilities might exist in pockets, the challenge is executing this at an enterprise level. Higher levels of quantitative simplification coupled with near-zero risk-free rates have induced higher volatility in the financial markets. Financial institutions also face high risk due to frequently changing compliance mandates in order to ensure data quality. Data aggregation has become a critical component in future enterprise architectures to ensure data quality. Integrated and Enterprise Data Architecture with taxonomy and characteristics building capability is critical in reducing data aggregation risks and creating accurate risk reports. The challenge is to achieve adequate data quality in order to distribute data to the enterprise platform for accurate regulatory reporting and robust risk aggregation. Financial institutions face the following challenges: • Ensuring control and data quality • Establishing strong data architecture and IT infrastructure • Risk data disaggregated in multiple silos • Large data distribution sets for performing risk analytics • Capability and time to aggregate semi-structured data • Leveraging historical data adequately for calculation of economic and regulatory capital There is a need to adopt a robust data aggregation framework to overcome data-related challenges as shown in Figure A. Risk Data Aggregation Banking & Financial Services

Risk Data Aggregation - NIIT Technologies Data Aggregation.pdfBCBS 239 • Framework to source, cleanse and integrate entity data (Legal Data Identifier) • Measure risk exposure

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Page 1: Risk Data Aggregation - NIIT Technologies Data Aggregation.pdfBCBS 239 • Framework to source, cleanse and integrate entity data (Legal Data Identifier) • Measure risk exposure

www.niit-tech.com

Industry OverviewThe huge volume of data generated by today’s

enterprises presents financial institutions with both a

challenge and an opportunity.

How ready are you to combine the power of your

enterprise data and the variety of data from external

sources to meet your risk management and compliance

requirements? How dynamic is your ability to monitor

your ever-changing risk portfolio across the enterprise?

While reporting capabilities might exist in pockets, the

challenge is executing this at an enterprise level.

Higher levels of quantitative simplification coupled with

near-zero risk-free rates have induced higher volatility in

the financial markets. Financial institutions also face high

risk due to frequently changing compliance mandates in

order to ensure data quality. Data aggregation has

become a critical component in future enterprise

architectures to ensure data quality.

Integrated and Enterprise Data Architecture with taxonomy and

characteristics building capability is critical in reducing data

aggregation risks and creating accurate risk reports. The

challenge is to achieve adequate data quality in order to distribute

data to the enterprise platform for accurate regulatory reporting

and robust risk aggregation.

Financial institutions face the following challenges:

• Ensuring control and data quality

• Establishing strong data architecture and IT infrastructure

• Risk data disaggregated in multiple silos

• Large data distribution sets for performing risk analytics

• Capability and time to aggregate semi-structured data

• Leveraging historical data adequately for calculation of economic

and regulatory capital

There is a need to adopt a robust data aggregation framework to

overcome data-related challenges as shown in Figure A.

Risk Data Aggregation

Banking & Financial Services

A_1

56_1

3051

5

Europe SingaporeIndia Americas

Partner with NIIT Technologies to align your IT goals with your business objectives

Write to us at [email protected] www.niit-tech.com

NIIT Technologies Ltd.Corporate Heights (Tapasya)Plot No. 5, EFGH, Sector 126Noida-Greater Noida ExpresswayNoida – 201301, U.P., IndiaPh: + 91 120 7119100Fax: + 91 120 7119150

NIIT Technologies Inc.,1050 Crown Pointe Parkway5th Floor, Atlanta, GA 30338, USAPh: +1 770 551 9494Toll Free: +1 888 454 NIITFax: +1 770 551 9229

NIIT Technologies Limited2nd Floor, 47 Mark LaneLondon - EC3R 7QQ, U.K.Ph: +44 20 70020700Fax: +44 20 70020701

NIIT Technologies Pte. Limited31 Kaki Bukit Road 3#05-13 TechlinkSingapore 417818Ph: +65 68488300Fax: +65 68488322

A leading IT solutions organization | 21 locations and 16 countries | 8000+ professionals | Level 5 of SEI-CMMi, ver1.2 ISO 27001 certified | Level 5 of People CMM Framework

• Holistic view of risk exposure across industry sectors (GICS)

and geographic dimensions

• Meets risk data aggregation and risk reporting principles of

BCBS 239

• Framework to source, cleanse and integrate entity data

(Legal Data Identifier)

• Measure risk exposure to entities

• Combine semi-structured data with structured data for

aggregation, reporting and distribution

Business Benefits

• Lower TCO and reduced time to Market

• Enables data to be your key differentiator and asset in the

marketplace

Our Data Aggregation framework can help you kick-start your

journey to achieving a matured Risk Data Aggregation state

with on-demand customized dashboards and reports.

Page 2: Risk Data Aggregation - NIIT Technologies Data Aggregation.pdfBCBS 239 • Framework to source, cleanse and integrate entity data (Legal Data Identifier) • Measure risk exposure

NIIT Technologies’ data aggregation framework will help financial institutions to meet the regulatory requirements while

maintaining the integrity of the current IT landscape.

To meet current regulatory requirements for Risk Data Aggregation, Banks must invest in new and innovative technology solutions

such as cloud, big data, NOSQL and innovative analytics. These technologies will improve time to market, Improve performance

and standardize the data to ensure accuracy and consistency.

NIIT Technologies has invested in an innovative technology framework that is scalable, flexible and a secure platform to manage

structured, semi-structured and unstructured data. It is not only meant for compliance reporting, but also for investment decision

support and to act as your Market Data Platform.

NIIT Technologies Data Aggregation Framework

Risk Aggregation Dashboards and Regulatory Reporting

Applications

EconomicCapital

CreditAssessment

EfficientPortfolios

ALM

BASEL III

RiskExposures

MiFID

TransactionMonitoring

CreditOrigination

CollateralManagement

Platform

Enterprise Wide Stress Testing

Financial and Risk Datamart

Models, Scenarios and Ratings

Figure A: Enterprise Architecture using Data Aggregation

The overall process involves understanding enterprise-wide data and infrastructure needs. It involves the acquisition of

semi-structured and structured data from various sources into a single version of truth.Business Solution - Data Aggregation

Solution FeaturesNIIT Technologies’ Data Acquisition framework includes:

• Data aggregation framework with pre-built data integration connectors and secure data distribution

• Fusion of structured and semi-structured data

• Entity and security cross-referencing capabilities across industry standard identifiers such as Legal Entity Identifier (LEI)

• Comprehensive data differences identifiers (field level)

• Symantec triples to aggregate hierarchical data

• Data Visualization to analyze exposure levels, and includes web crawlers

• Accessibility through mobile devices

• Worldwide Foreign Exchange (FX) data acquisition and hourly refresh from OpenExchangerates.org• Data Gap Analysis• IT Infrastructure• Risk Framework• Risk Culture

CAD

Exposure by Country

1-13-2015

CanadaSpain

FranceIndia

ItalyUnited States of America

38,590

4,2148,145

37,258

9,1952,107

Exposure Valuation

Risk Data Aggregation Dashboards

MarkLogic Enterprise NoSQL Database

Market Data ReferenceData

HistoricalData

Semi - StructuredData

Economic &Statistical Data Structured

Data

Data Visualization Layer

Data Aggregation – A Critical Component within Enterprise Platforms

• Semi Structured Data• Market Data• Reference Data• Structured Data

• Economic Data• Historical Data• Structured Data

Data Acquisition

• Cleanse• Consolidate• Reconcile• Data Quality Checks

• Data Patching• Aggregation• Audit Trials

Manage Data Quality Data Quality

Reports & Dashboards

• Risk Platform• Risk Engine• Credit Monitoring

• Regulatory Reports• Transaction Reports• Risk Dashboards• Internal Report

• Credit Assessment• Hedging • Exposure Tracking

• ALM• Efficient Portfolios• Value at Risk

Distribution to Platform and Applications

Evaluating EnterpriseWide Data Needs

CITICORP BANKING CORPORATION CITIGROUP INC.

CITIGROUP VENTURE CAPITAL GP HOLDINGS LTD.

CITIGROUP VENTURE CAPITAL INTERNATIONAL GROWTHPARTNERS

CITICORP TECHNOLOGY HOLDINGD INC.

CITICORP VENTURE CAPITAL (CAYMAN) LTD.

CITICORP VENTURE CAPITAL INVESTORS LTD.

3,158

2,526

2,526

2,2622,409

2,1562,265

2,0211,886

2,4302,486

2,104

39314

1,895

1,263

632

0

Firm-name: CITICORP BANKING CORPORATIONLEI: GSJPQE4HA050VK4GV518Entity Legal name: Citicorp Banking CorporationEntity Legal Address Country: US

Exposure by Sector Citigroup Inc. as of 2014 -12 - 11 --> Citicorp Technology Holding Inc. (3023635)

60,000

45,000

30,000

33,413

12,990

43,301

9,80315,000

0

Energy Consumer Discretionary Consumer Staples Financials

CO-INVESTMENT LCC (NTCOMEX) (3363661)

CITIGROUP VENTURE CAPITAL GP HOLDINGS LTD. (3082182)

NCGA INVESTOR LLC (4137780)

CITIGROUP VENTURE CAPITAL LP HOLDING LTD. (3042230)

CITICORP VENTURE CAPITAL (CAYMAN) LTD (3111877)

CITICORP CO-INVEST/GST LP (4174244)

CROPTECH LIMITED (1186030)CITICORP TECHNOLOGY HOLDING INC. (3003635)

TRG GROWTH PARTNERSHIP LP (3825264)

INTERNATIONAL EQUIRY INVESTMENT SUCCESSOR LLC (4284222)

CITIGROUP IN

CAPITAL LIMITED (1042614)

Entry Name: CITIGROUP INC. (1961360)

Parent Company:0

City: NEWYORK State: NY

Entry Type: Financial Holding Company-Domestic

LEI:6SHC24ZSSL, CXXQS88395

Exposure : USD 11994 3468731

Page 3: Risk Data Aggregation - NIIT Technologies Data Aggregation.pdfBCBS 239 • Framework to source, cleanse and integrate entity data (Legal Data Identifier) • Measure risk exposure

The overall process involves understanding enterprise-wide data and infrastructure needs. It involves the acquisition of

semi-structured and structured data from various sources into a single version of truth.

Solution FeaturesNIIT Technologies’ Data Acquisition framework includes:

• Data aggregation framework with pre-built data integration connectors and secure data distribution

• Fusion of structured and semi-structured data

• Entity and security cross-referencing capabilities across industry standard identifiers such as Legal Entity Identifier (LEI)

• Comprehensive data differences identifiers (field level)

• Symantec triples to aggregate hierarchical data

• Data Visualization to analyze exposure levels, and includes web crawlers

• Accessibility through mobile devices

• Worldwide Foreign Exchange (FX) data acquisition and hourly refresh from OpenExchangerates.org

CAD

Exposure by Country

1-13-2015

CanadaSpain

FranceIndia

ItalyUnited States of America

38,590

4,2148,145

37,258

9,1952,107

Exposure Valuation

Risk Data Aggregation Dashboards

CITICORP BANKING CORPORATION CITIGROUP INC.

CITIGROUP VENTURE CAPITAL GP HOLDINGS LTD.

CITIGROUP VENTURE CAPITAL INTERNATIONAL GROWTHPARTNERS

CITICORP TECHNOLOGY HOLDINGD INC.

CITICORP VENTURE CAPITAL (CAYMAN) LTD.

CITICORP VENTURE CAPITAL INVESTORS LTD.

3,158

2,526

2,526

2,2622,409

2,1562,265

2,0211,886

2,4302,486

2,104

39314

1,895

1,263

632

0

Firm-name: CITICORP BANKING CORPORATIONLEI: GSJPQE4HA050VK4GV518Entity Legal name: Citicorp Banking CorporationEntity Legal Address Country: US

Exposure by Sector Citigroup Inc. as of 2014-12-11 --> Citicorp Technology Holding Inc. (3023635)

60,000

45,000

30,000

33,413

12,990

43,301

9,80315,000

0

Energy Consumer Discretionary Consumer Staples Financials

CO-INVESTMENT LCC (NTCOMEX) (3363661)

CITIGROUP VENTURE CAPITAL GP HOLDINGS LTD. (3082182)

NCGA INVESTOR LLC (4137780)

CITIGROUP VENTURE CAPITAL LP HOLDING LTD. (3042230)

CITICORP VENTURE CAPITAL (CAYMAN) LTD (3111877)

CITICORP CO-INVEST/GST LP (4174244)

CROPTECH LIMITED (1186030)CITICORP TECHNOLOGY HOLDING INC. (3003635)

TRG GROWTH PARTNERSHIP LP (3825264)

INTERNATIONAL EQUIRY INVESTMENT SUCCESSOR LLC (4284222)

CITIGROUP IN

CAPITAL LIMITED (1042614)

Entry Name: CITIGROUP INC. (1961360)

Parent Company:0

City: NEWYORK State: NY

Entry Type: Financial Holding Company-Domestic

LEI:6SHC24ZSSL, CXXQS88395

Exposure : USD 11994 3468731

Page 4: Risk Data Aggregation - NIIT Technologies Data Aggregation.pdfBCBS 239 • Framework to source, cleanse and integrate entity data (Legal Data Identifier) • Measure risk exposure

www.niit-tech.com

Industry OverviewThe huge volume of data generated by today’s

enterprises presents financial institutions with both a

challenge and an opportunity.

How ready are you to combine the power of your

enterprise data and the variety of data from external

sources to meet your risk management and compliance

requirements? How dynamic is your ability to monitor

your ever-changing risk portfolio across the enterprise?

While reporting capabilities might exist in pockets, the

challenge is executing this at an enterprise level.

Higher levels of quantitative simplification coupled with

near-zero risk-free rates have induced higher volatility in

the financial markets. Financial institutions also face high

risk due to frequently changing compliance mandates in

order to ensure data quality. Data aggregation has

become a critical component in future enterprise

architectures to ensure data quality.

Integrated and Enterprise Data Architecture with taxonomy and

characteristics building capability is critical in reducing data

aggregation risks and creating accurate risk reports. The

challenge is to achieve adequate data quality in order to distribute

data to the enterprise platform for accurate regulatory reporting

and robust risk aggregation.

Financial institutions face the following challenges:

• Ensuring control and data quality

• Establishing strong data architecture and IT infrastructure

• Risk data disaggregated in multiple silos

• Large data distribution sets for performing risk analytics

• Capability and time to aggregate semi-structured data

• Leveraging historical data adequately for calculation of economic

and regulatory capital

There is a need to adopt a robust data aggregation framework to

overcome data-related challenges as shown in Figure A.

Risk Data Aggregation

Banking & Financial Services

A_1

56_1

3051

5

Europe SingaporeIndia Americas

Partner with NIIT Technologies to align your IT goals with your business objectives

Write to us at [email protected] www.niit-tech.com

NIIT Technologies Ltd.Corporate Heights (Tapasya)Plot No. 5, EFGH, Sector 126Noida-Greater Noida ExpresswayNoida – 201301, U.P., IndiaPh: + 91 120 7119100Fax: + 91 120 7119150

NIIT Technologies Inc.,1050 Crown Pointe Parkway5th Floor, Atlanta, GA 30338, USAPh: +1 770 551 9494Toll Free: +1 888 454 NIITFax: +1 770 551 9229

NIIT Technologies Limited2nd Floor, 47 Mark LaneLondon - EC3R 7QQ, U.K.Ph: +44 20 70020700Fax: +44 20 70020701

NIIT Technologies Pte. Limited31 Kaki Bukit Road 3#05-13 TechlinkSingapore 417818Ph: +65 68488300Fax: +65 68488322

A leading IT solutions organization | 21 locations and 16 countries | 8000+ professionals | Level 5 of SEI-CMMi, ver1.2 ISO 27001 certified | Level 5 of People CMM Framework

• Holistic view of risk exposure across industry sectors (GICS)

and geographic dimensions

• Meets risk data aggregation and risk reporting principles of

BCBS 239

• Framework to source, cleanse and integrate entity data

(Legal Data Identifier)

• Measure risk exposure to entities

• Combine semi-structured data with structured data for

aggregation, reporting and distribution

Business Benefits

• Lower TCO and reduced time to Market

• Enables data to be your key differentiator and asset in the

marketplace

Our Data Aggregation framework can help you kick-start your

journey to achieving a matured Risk Data Aggregation state

with on-demand customized dashboards and reports.