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P K Mallik
Tech OpportunitiesEmerging Opportunities
FromNew Technologies
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P K Mallik
Topics• Customer Single View• Enhanced Mobile• Next Gen Identity Management• Web Usage Analysis• Digital Marketing• Responsive Design Framework
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P K Mallik
CRM – Customer Single ViewDigital-IO
Customer Experience Hub
Legacy systems
Data Extraction Platform
Customer Apps
Customer Web-Site
Field Force Apps
Partner Portals/Apps
Digital Campaign
Management
CRMReal-Time Analytics
Single Customer
View (360 degree)
Gamification/LoyaltyEngine Internet
Sources
Master Data Management
Case Management
Enterprise Services
Sync EngineAuto Code Updater
Notification EngineApp-Store MDM/MAM
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P K Mallik
Enhanced mobile• Migration of users to mobile from portals• Significant variations in usage of mobiles from Human to
Machine to Machine to Machine• Obsolescence of traditional payment methods• Collaboration is key• Mobile apps will increasingly use features such as• Location • Biometric Security• NFC• Motion detection and accelerometer• IoT
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P K Mallik
Next Gen Identity Management• Move from Authenticate SecureTransact to
TransactAuthenticate• Move towards multi-point security based on rules• Adoption of standards such as FIDO• Passwords, Pins and Cards will become obsolete• Encryption will move towards open standards
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P K Mallik
Web Usage Analytics
UI
JavaScriptAction capture
Stream Logger Real Time Analysis
Screen Behaviour Modifier
Analytics
Rules Engine
Action Log
User Submits Form
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P K Mallik
Digital Marketing• Key Objectives• Identify Target Customer – Targeted Marketing• Improve Campaign Effectiveness
• Business Needs• Improve hit rate• Understand customers’ mind-set• Determine impact of campaigns and promotions
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P K Mallik
Targeted Marketing
Data Streams Voluminous Data Generated
Apply Data Analysis to
characterize Attributes Build
Training Set
Apply to Test
Determine Results
Identify Data Sources Collect Data Determine Attributes Analyse
Predictive Analysis
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P K Mallik
Targeted Marketing• Outcome• Product Recommendation• Cross Sell and Upsell• Create Campaigns
• Process• Take existing loan data• Use customer attributes to build training set• Identify products associated with a set of attributes
• Benefits• Higher hit Rate
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P K Mallik
Campaigns•
Pola
rity
(+ve
, -ve
)•
Emoti
on (j
oy,
ange
r, sa
dnes
s et
c.)
•So
cial
Med
ia
post
s•
Surv
eys
•Fe
edba
ck
Joy
Sadness
Normal
Sentiment Analysis
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P K Mallik
Campaign
• Get data points• Private (e.g. loyalty program)• Public (government and social media)
• Perform k-Means clustering• On defined attributes• 2 to n dimensions
• Interpret clusters• Buying behaviour
• Perform analysis• Offers• Campaigns
Interpret clusters
Perform K-means
clustering
Get data points
Analyse
0
100
Hit R
ate
AnalyticsNone Basic Advanced
Segmentation
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P K Mallik
Campaigns• Outcome• Define Campaign Objectives• Identify Target Segments• Monitor Impact of Campaign• Apply Course Correction
• Process• Trawl Social Media• Determine market sentiment• Identify campaign objectives
• Benefits• Improve Campaign Effectiveness
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P K Mallik
Responsive Design
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P K Mallik
Responsive Design – Example
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P K Mallik
Thank You