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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Hexaware Technologies Presents:
The Presentation Will Begin Momentarily
Business Intelligence and Analytics – Answers to your Strategic Information Needs
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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1112
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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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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
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
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
‘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.
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