2. Leveraging Analytics in Banking Vertical
2
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Analyticsin
Banking
Improved
Customer
Acquisition
Improved
Profitability
ImprovedROI
Increased
Cross-sell
opportunities
BetterRisk
Management
Enhanced
Customer
value
Reduced
Customer
Attrition
BetterCost
Management
Banking is among the top 5 industry
verticalwhereAnalyticsand Data-
driven methodologyis leveraged for
an improved decision making,
enhanced revenueopportunitiesand
better cost control
4. Managing the activation of Depository Portfolio
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A leading Bank wanted to
activate DEMAT
customers who did not
activated across various
time points
Keyquestions:
1. How does activation
rates changes over
time ?
2. What is driving the
high inactivation
rates?
3. What specific actions
will quickly improve
the activation rates ?
4. What specific actions
will support a long-
term activation
strategy ?
5. How much additional
revenue will fallout of
various segments so
that actions can be
prioritized?
What we did :
1.Identified customer segments based on vintage
and activation across various time blocks
2. Developed long-term and short-term focus
areas
3. Prioritized the segments that have gone
dormant in last 3 months as opposed to the other
segments
4. Build a activation model to predict customers
with maximum probability to activate
5. Build a feasibility study to decide the cut-off for
marketing campaigns to contact customers based
on the predictive model
6. Developed analytical solutions for other
inactive segments
Outcomes:
1. The re-activation rates
were higher than the natural
historic re-activation rates by
40%
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Information shared on this slide is highly confidential and has
been limited due to the NDA signed with the client
5. Cross-sell of Prepaid Card Category to Existing CASA Customers
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A leading Bank wanted to
identify potential for
cross-selling prepaid cards
to it’s existing CASA
customers
Keyquestions:
1. Who will buy a pre-
paid card ?
2. Identify existing users
with potential for
enhanced usage
What we did :
1. Developed a customer segmentation study to
identify potential bases for acquisition and
for enhanced usage
2. Build a cross-sell propensity model for
prepaid card cross-sell
3. Developed an RFM segmentation for
enhanced usage
Outcomes:
1. Improved ROI and cost
control
2. Highest Prepaid card
cross-sell when
compared over last 4
years
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Information shared on this slide is highly confidential and has
been limited due to the NDA signed with the client
7. Data Visualization and Strategic Insights – Some Examples
7
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Performance Dashboard
Transactions by Branch Accounts by Branch Consumer Loans by Branch Share Deposits by Branch
12 month Trans Growth 12 month member Growth 12 month Cons. Loan Growth 12 month share deposits growth
Information shared on this slide is highly confidential and has
been limited due to the NDA signed with the client
8. Data Visualization and Strategic Insights – Some Examples
8
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Information shared on this slide is
highly confidential and has been limited
due to the NDA signed with the client
9. How We Share Results
9
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Data Visualization
What does data
look like?
BUSINESS
INTELLIGENCE
What’s happening
now ?
SEGMENTATION
How is the behavior
across segments ?
PREDICTION
What is likely to
happen?
Visualisation tools and
reports
Dashboards and Survey
Reports
Profilerand insightdeck
Scorecard
End results/tools
BUSINESS VALUE
COMPLEXITY
Low High
LowHigh
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10. Business
Objective
Data Assessment Building Analytical
Solution
Validation
and Documentation
1. Assessing the
data
requirement
and availability
2. Preparing data
for analytical
model building
3. Integrating
secondary and
external data
as per
assessment
1. Analysing the
objective
2. Requirement
gathering for
analytical
objective
1. Trend analysis
of parameters
2. Segmentation
of the target
population
3. Building
predictive
model and
choosing the
most accurate
model
1. Validating the
analytical
solution for
future
robustness
2. Documenting
the results and
key definitions
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1.Implementing
the solution on
various channels
as per
requirement
2.Tracking the
implementation
to analyse the
conversion
BigvueConsulting
Implementation
and Tracking
Our Methodology
12. Analytics in Banking vertical – need based scoping
12
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Marketing Analytics
Campaign Analytics
Product Analytics
Customer Value
Management
Managing Risk and
Innovation
Improving the
Operational Aspects
Operational AnalyticsProduct Development
HR Analytics
Fraud and Risk
Analytics
13. Analytics across Banking Value Chain
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Business Objectives/Challenges Analytical Solution
1.1 Customer Relationship
management
1.2 Lifecycle management (acquisition, retention ,value
build-up, need identification)
1.Predictive Analytics and
Statistical Modeling
2.1 Customer Profiling 2.2 Behavioral analysis and customised Product offerings
2.Segmentation and
Clustering
3.1 Capacity Planning 3.2 Business/operational forecast 3.Forecasting and Planning
4.1 Business opportunities
/new segments
4.2 Understanding
Customer Sentiment
4.3 Risk identification
4 Strategic Insights and
Customer Surveys
5.1 Market growth
strategy
5.2 New product launch
5.Product Development
and Management
6.1 Trend analysis and actionable reports 6.Data Visualisation
14. Applying Analytics across Banking Portfolios
14
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Liabilities Assets Cards
Direct Banking
Channels
Other Products
Products
CASA, Term
Deposits, Investment
Products
Loans Credit Card , Debit
Card, Prepaid
Cards
Net Banking,
Mobile Banking,
Phone Banking and
ATM
Insurance,
Bullion, Bill pay,
Fund transfer
and other
services
Scopeof
analytics
1.Cross –sell/up-sell
2.Identification of
next best product
need
3.Activation and
usage of product
4.Value build-up
5.Retention
1.Assets cross-
sell to existing
customers
2.Cross-sell
strategy in open
market
1.Cross-sell/Up-
sell
2.Opportunity
scoping for
corporate clients
3.Designing
spends based
Credit Card offers
1.Registration,
activation and
enahnced usage of
service
1.Cross-sell
2.Registration
and enhanced
usage of service
15. About Bigvue
Our service model provides an integrated and end-to-end solution strategy
Bigvue leverages Analytics and Technology
to help companies take business decisions
• We build Strategy and Process Management
solutions for various segments - BFS, Retail,
Travel, Media, Non-profit and Government
Services
• We have client base across various geographies
including India, USA, UK, UAE, Singapore,
Hongkongand Australia
• We have a strong expertise in various Analytics
and Business Intelligence Technologies, both
proprietaryand open source
15
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Business Strategy
• Analytics
• Business Intelligence
• Customer Surveys and Insights
Process Management
• Analytical Campaigns
• Data Integration
• Analytical Marketing
Services we offer:
16. Bigvue helps companies achieve its goals through a more robust, systematic
and scientific decision making technique using Analytics and Process
Management
Contact:
Surbhi Bansal
surbhibansal@bigvue.in
Phone : +91-8860700205
Our website :
www.bigvue.in
/bigvueconsulting
/@Bigvue
/company/bigvue-consulting
/bigvue
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Thank You