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Hexaware Technologies Presents:

The Presentation Will Begin Momentarily

Business Intelligence and Analytics – Answers to your Strategic Information Needs

Sundip Gorai – Vice President, Hexaware Technologies

Sundar Varadarajan – Vice President, Hexaware Technologies

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A Global IT and BPO service provider

Our mission : To build value for clients through innovative use of technology and talent

BusinessAreas

Transportation

ERP/HRIT

InsuranceBFS

IndiaIndia’’s s Fastest Fastest

Growing MidGrowing Mid--Sized Sized

CompanyCompany

32 offices worldwide

18 Global locations

17 years of technology outsourcing expertise

55 Global 500 clients

166 Clients served worldwide

187 USD mil Revenues, 06

6900 Employees worldwide

A Global IT and BPO Service Provider

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Strategies and Strengths

Core CompetencyManagement of business-

critical applications offshore

Organization TraitsConsultative approach, Responsive and Result-

oriented

Robust BackboneWorld-class infrastructure, Flexible delivery models, SEI CMMi Level 5, BS7799

Track Record88% Repeat Business

Offshore transition expertiseGlobal Delivery

Leading BFSI service provider with proprietary products (Operational Risk, Collections, Leasing, Wealth Management

# 1 Airlines services provider in India

8 of top 10 airlines are our clients

# 1 provider of HR-IT services in India

500+ projects, 750+ resources

Specialized Insurance service provider Content management, Fraud Mgmt, Work flow, SOX, BPO

LEADERSHIP

THROUGH

FOCUS

LEADERSHIP

THROUGH

FOCUS

ENHANCING

VALUE

ENHANCING

VALUE

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Business Intelligence and Analytics

Answers to your Strategic Information Needs

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Agenda

• Introduction to the webinar series

• Information needs across business

• Common analytic usage across business

• Execution methods and challenges in the BI

ecosystem

• Hexaware’s BI Practice – A sneak peek

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Welcome to the BI & A Webinar Series

Webinar 1 - Business Intelligence and Analytics – Answers to your Strategic Information Needs

Webinar 2 - Optimizing Delivery of BI Solutions with Solution Accelerators

Webinar 3 - Agile framework for Calibrating the Enterprise Data warehouse

Webinar 4 - Jumpstart your Credit Card Business with pre-built analytic pack on the technology of your choice

Webinar 5 - Proactively analyzing your Hire to Retire Cycle using HR analytics jumpstart kit

Webinar 6 - Helping you in your upgrade strategy on your chosen Business Intelligence tools

Webinar 7 - Know your customer better – Insights into CRM Analytics

Webinar 8 - Data Mining - Seeing the future and knowing the patterns of your business using your organization data

Webinar 9 - How can banks leverage analytics across various perspectives protecting their current investment in technology?

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Analytics and Data Mining Coverage

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BI Infrastructure Management

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Und

erst

andi

ng C

usto

mer

Pro

fitab

ility

Und

erst

andi

ng C

usto

mer

Ret

entio

n/A

ttriti

on

Dee

peni

ng C

usto

mer

Rel

atio

nshi

ps

• New Business Analysis

•Cross selling / Upselling

•Cross Product Holding

•Acquisition Pattern

•Service Request Analysis

•Customer Behavior

•Targeted Campaign

•Response analysis

•Customer Profiling

•Channel Behavior

InternetTransactions

RetailTransactions

FinancialTransactions

Call centerTransactions

MobileTransactions

Analytic CRM Approach

•Analytics / Mining Models

•Off the Shelf CRM Tools

•Analytic Process Maps

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Assignment Model

Right Product/Right Customer/Right Channel using linear programming

CampaignObjective

CampaignDescription

CustomerSelection

CustomerExclusions

Criteria

Response Propensity

Purchase Score

Credit Score

Relationship value

Cross Sell

Upsell

Churn

Retention

Segmentation

Customer transition to higher segment

Data Mining Techniques

Model Selection

CustomerSelectionBased on

other attributes

CustomerAttributes – Age/

Gender/Relationship details

SelectCustomers who

did notRespond to past

campaign and are poor onother parameters

Response Propensity Score for maximum likelihood

of response

Data Mining TechniquesModel Selection

Tele Marketing

Direct Mail

Walk in to Advisors

Other MediumSchedules

&ExecutesCampaign

Campaign Effectiveness

EvaluationModel

(Response & Returns to Cost)

ResponseTo MultipleCampaignsStored as

history

Closing the Loop –Learning Feedback

FilteredCustomer

List

FilteredCustomer

List based how oldIs relationship

SplitCustomer

List

Owner of CampaignBudget ,Costs and

Segmentation Other

constraints

Reporting & Analysis

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4

5

6

7

8

9

10

1112

13

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Analytical CRM Strategy

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HR Analytics Footprint

Hire to

Reti

re

Demand Vs Supply

Required Vs Skill

Aspiration Vs ActualGrowth Vs Capability

Measurement Vs Measurable

Rewards Vs BudgetsBenefits Vs Cost

Separation Vs Retention

HR Function Challenges

•Workforce•Retention•Environment•Capability

•Compensation & Benefits•Organizational Effectiveness•Staffing & Recruiting •HR Service Delivery

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EnvironmentEnvironment

Compensation Compensation & &

Benefits Benefits

OrganizationalOrganizational

EffectivenessEffectiveness

WorkforceWorkforceRetentionRetention

StaffingStaffing

HR Functions

• Derive Hindsight, Insight and Foresight into your HR functions to derive Strategic imperatives

• DW ,OLAP & Reporting–Hindsight

• Statistical & Data Mining Techniques – Foresight & Insight

•Data models

•Dimensions/Hierarchy/Metrics

•Slice/Dice/Roll-up/Roll-down

•Operational Reporting and Ad-hoc Analysis

Typical HR Analytics Needs

CapabilityCapability

HR Service HR Service DeliveryDelivery

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Acquirer AnalyticsAcquirer Analytics

Card Systems Core Banking Systems

Channel Data Other Data Sources

Pre

Pack

aged

Dat

a M

odel

Pre

Pack

aged

Rep

orts

Tem

plat

es

Pre

Pack

aged

Met

a D

ata

Issuer AnalyticsIssuer Analytics

Customer

Acquisition

Card Portfolio

Analysis

Credit

Policy

RecoveryCollections

Authorization

Analysis

Chargeback

Analysis

Operations

Analysis

Fraud

Analysis

Merchant

Performance

Merchant

Acquisition

Credit Card AnalyticsPre built ReportsPre built GraphsPre built Metrics

Pre built Data modelData Mining Framework

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Approach to analyzing the BI ecosystemEv

alua

tion

Fram

ewor

k System 1

System 2

System 3

StagingStaging Business Business WarehouseWarehouse

Extr

act T

rans

form

Loa

d

Cub

esC

ubes

Rep

orts

Rep

orts

Metadata FrameworkMetadata Framework

Stat

/Min

ing

Stat

/Min

ing

Mod

els

Mod

els D

eliv

ery

Fram

ewor

k

System 1

System 2

System 3

StagingStaging Business Business WarehouseWarehouse

Extr

act T

rans

form

Loa

d

Cub

esC

ubes

Rep

orts

Rep

orts

Metadata FrameworkMetadata Framework

Stat

/Min

ing

Stat

/Min

ing

Mod

els

Mod

els D

eliv

ery

Fram

ewor

k1. Reporting & Delivery2. Data Integration3. Data Sources4. Data Quality5. Enterprise Data Model6. Reference Data Structure7. Security Framework8. Metadata Availability9. Standards & Process10. Infrastructure

1.1. Reporting & DeliveryReporting & Delivery2.2. Data IntegrationData Integration3.3. Data SourcesData Sources4.4. Data QualityData Quality5.5. Enterprise Data ModelEnterprise Data Model6.6. Reference Data StructureReference Data Structure7.7. Security FrameworkSecurity Framework8.8. Metadata AvailabilityMetadata Availability9.9. Standards & ProcessStandards & Process10.10. InfrastructureInfrastructure

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2

3

4

5

6

7

10

9

8

Act

iviti

es

Deliverables

1. Current State2. Health Chart3. Solution Recommendation

1.1. Current StateCurrent State2.2. Health ChartHealth Chart3.3. Solution RecommendationSolution Recommendation

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2

3

Analyze 10 key areas of the Analyze 10 key areas of the Data Warehouse environmentData Warehouse environment

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Stat Analysis / Mining – Applications & Techniques

• Classification / Categorical Analysis– Logistic Regression, Support Vector

Machine, Naïve Bayes, Adaptive Bayes

• Clustering / Association / Neighborhood Analysis

– K’ Means, ‘K’ Nearest Neighbor, ‘O’Cluster, Association

• Decision Trees– CART / CHAID

• Parameter Selection & Improvement– Factor Selection/Non-Negative Matrix

Factorization / Attribute Importance

• Forecasting• Optimization• Others

– Regression, ANOVA

ApplicationsApplications Mining TechniquesMining Techniques

• HR Competency Clusters• HR Attrition Forecasting • Customer Segmentation• Cross Sell & Up sell Models• Performance attribution • Funds/fees analysis• Fund benchmarking• Revenue forecasting• Demand forecasting• Probability of default • Loss given default• Probability of claim• Underwriting Scoring• Fraudulent identification• ALM /FTP models (core segregation, attrition, matched

maturity)• Economic capital modeling• Clinical Intelligence• Resource utilization analysis• Prospect targeting• Call planning• Marketing optimization• Sales force optimization• Propensity to churn• Customer Segmentation

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System 1

System 2

System 3

StagingStaging Business Business WarehouseWarehouse

Extr

act T

rans

form

Loa

d

Cub

esC

ubes

Rep

orts

Rep

orts

Metadata FrameworkMetadata Framework

Stat

/Min

ing

Stat

/Min

ing

Mod

els

Mod

els D

eliv

ery

Fram

ewor

k

Governance & Funding

Data Quality

Data Usage

Data Management

Staffing

Challenges across Enterprise DWH

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Core TeamOffshoreOnsite

Dataminers and Statisticians

Data Architect

Business Specialist with

consulting exposure

Statisticians

Architects

Domain Specialist

Senior Developers

Floating Team to business and technology support

Developers Senior Developers

Rapid Knowledge Transition Process

Initi

al R

amp

Up

Ong

oing

Ram

p U

pBusiness Intelligence

+ Domain & Mgmt

Consulting+

Statistician & Data Mining +

Developers

Program ManagerResource Pool

Business Analysts

Data modelersETL Experts Reporting Specialist

Data minersBusiness Exp Mgmt Consultants

How Global Delivery is being managed today?

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Hexaware BI&A Practice

Capabilities across establishing BI GDC, BI COE, EDW Strategy, Analytics

Experience of more than 50 customer engagements covering the entire business

intelligence and analytics services space

Domain expertise:: Banking and Financial services, Human Resources IT, Capital

Markets, Insurance, Transportation, Airlines, Manufacturing, Healthcare, Telecom

and Retail

Alliances: Close alliances/ partnerships with leading BI tool vendors ensuring

solutions meet clients’ current and future needs

Global delivery model ensuring optimum cost of solution

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BI & A Innovation Lab‘Hexaware BI & A Innovation Lab’ has a dedicated talent pool, bringing an edge in engagements by leveraging best practices repository, by building reusable components, prepackaged analytics , solution accelerators to shrink implementation time and by providing mentoring to execution teams.

Well tested process frameworks developed by the Innovation team with standards, templates, deliverables and checklists are -•BI Report Consolidation •Agile Methodology for Maintenance •Data Profiling and Certification •Performance Tuning•Industry Model Implementation

•Architecture Assessment•Product Evaluation•Product Migration •Product Upgrade•Scorecard Implementation

Process Innovation

Analytics Innovation

Some of our jumpstart analytic packs are •Credit Card•Mortgage•Retail & Corporate Credit Risk

•CRM Analytics•HR Analytics•Airline Analytics•Capital Market Analytics

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BI & A Innovation Lab

XML-based query engine for Data Integration environment to ensure ETL coding standards and locate coding errors; saves up to 90% time

Some of the tools developed by the Innovation team that would be part of all projects are

Solution Innovations

A tool for determining duplicate reports, identifying set-subset related reports, location of dead variables, etc., within any BI environment; saves up to 70% time

BI environment metadata foundation tool to create semantic layers such as universes and models in an automated fashion; saves up to 40% time

Other solution accelerators in usage

•TRACE IT•Teradata Analytic •Excel Comparator •SAS Web Compiler

•Web Services Manager•Excel Formatter•Mapping Change Propagator

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Customers

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Enterprise Risk Management

‘Risk Tech International’ is a majority-owned JV of Hexaware Technologies with more than 300 resources specialized in asset management, derivatives, wealth management and a variety of risk and treasury management applications. Risk Tech team is drawn from leading financial institutions, “Top 4” consulting firms and top risk software vendors.

•Strong Domain Consulting •Tools & Templates for conducting Assessment study•Robust Technical Competency •Pre-packaged Reports•Integrated Risk Mitigation & Compliance Management Strategies

Key Differentiators

Risk Tech Offerings

•Value-Based ERM & Basel II•Value-Based Compliance•MiFID Compliance•Treasury Risk Management

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Business SituationThe internal DW was being used by 8000 users from more than 50 countries, the need was to build a core team that would support the user base and enhance the system to grow further

Solution & Engagement Model BI applications within the Sales & Marketing IT support area was outsourced to Hexaware to be managed using an onsite – offshore model

Hexaware’s rich experience in managing enterprise applications like DW/BI, ERP, CRM helps in bringing operational efficiencies for “Business-as-usual” support and economies of scope for future enhancements

Technologies

Business Benefits

Statistics

Team Size : 50 member team

Onsite / Offshore ratio: 20:80

40 Critical Applications supported

8000 users spread across 51 countries

1500 ETL Mappings supported

900 ASP/JSP Screens supported

Close to 140,000 BO reports executed monthly

Decrease in total cost for Customer on a Y-o-Y basis by leveraging the onsite-offshore model for application management

Increase in throughput of service requests on a monthly basis leading to faster turn-around time for new user requirements

Significant benefits associated with converting Fixed cost for Customer into Variable costs in deploying Hexaware personnel as & when required for new projects

Significant productivity improvement on Y-o-Y basis

24*7 BI Infrastructure Support

OLAP Tools – Business Objects XI, Microstrategy

ETL Tools – Informatica 7.1, Microsoft DTS 2000

Databases – Oracle 9i, SQL Server 2000

Other Technologies – JSP, ASP, PL/SQL

Source Systems – PeopleSoft, Siebel, Oracle ERP, Legacy systems

ASM for a Large IT Services Firm

24Thank You