a brief on data products for payments ecosystem
TRANSCRIPT
Data Products for the Payments Ecosystem-A Brief
Sumit Dhar
Tuesday, December 1, 2015
12/1/2015 © Sumit Dhar 2
Global Payments Revenue- projected 6% annualized Growth
Payments EcosystemLandscape of Payment Gateway Ecosystem
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http://dataconomy.com/fintech-explained-payments/
Simple representation of Payment Data FlowSimple representation of parties in Payment Gateway Ecosystem
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Approval/ Decline
NBFCs
Banks
Rating Agencies
???
Merchant Web
server
Payment Gateway
Acquiring Bank
Consumer Bank
Network(VISA/MS
)
ConnectionRequest via PCI/DSS & non PCI DSS
Approval/ Decline
Submits Transaction to Network for $$
Submits Transaction for $$ approval
Approval/ Decline & Funds
DepositFunds
User Device
SSL
UX and Data
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Pay
me
nt
Gat
eway
(C
ore
)UX Data
Digital WalletDigital CashPayment Apps [Online & Mobile]Smart phone POSPayment Split AppsLending Apps
Wallet:- PII- Validated Mobile number- Exposes Peer Information- Address- Geo- physical/ online- Device(s)- Bill Payment/ Default in payments
Merchant Transaction:- Merchant Name- Merchant Category- Bill Category- Bill Amount- Transaction Data
Financial Transaction:- Approve/ Declines- Overlimits- Charges?
App Data [Where Applicable]:
High Level Data Product IdeasSome of the ideas may be aspirational and require on ground validation with data
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Domain Internal (Payments) External
Consumer Merchant Fin Services
Sales & Marketing
Profitability Scorecard CLTV for wallets Personas Customer Decision
Process [CDP] Analytics
Recommendations Targeted Financing
Offers/ wealth management
Targeted Merchant Offers
Life Stage Offers Location based
fulfillment Retargeting
CartThroughput
Retargeting Wallet share Consumer
Profiling
FinancingOpportunities
Logo UPSELL Life stage Upsell
Risk Fraud Management Credit Management Online Behavioral
Scorecard
Wallet Threat Prediction
Payment Failure Prediction
Peer2Peer Trust Scores
Fraud Detection
Risk Grade Predictors
Online Behavioral Scorecard
Details on Personals, use cases, data required and predictions are available on request to the author:- [email protected]
Data Product Features
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The following details :
1. Problem statement
2. Solution
3. Value Proposition
4. Typical target (persona)
5. Ease of development
6. Business Integration & Optimization
7. Data required
8. Stakeholders