Speaker: Amanda Bose, Solution Engineering Head - Asia

1. Transforming Financial Services with Event
Streaming Data
Ananda Bose - Solution Engineering Head - Asia

2. Ananda Bose - Solutions Engineering
Head - Confluent, Asia
● 20+ years of providing consulting, advisory
services to financial institutions in emerging
markets.
● Confluent, Pivotal, Accenture, Oracle & IBM
● Specialise in application modernization
techniques and getting better at database
modernisation 😁.
● Current role - Manage a team of extraordinary
solutions engineers across Asia
About me

3. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Banks Have Become Software
3

4. And the adoption trajectory is exponential….
4

5. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Biggest Inhibitor to this adoption is that
Enterprise Data Architecture Is A GIANT MESS
5
LINE OF BUSINESSES ECOSYSTEM PUBLIC CLOUD

6. Let’s rewind a bit and find out
how we got there …..

7. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Mainframe
3270
7
1960s - 1990
Your Legacy Infrastructure Is Not Fit For The
Future

8. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
3270
Branch
Teller
System
Branch
Server
ATM
Tandem - Base24
Website
Mainframe MQ
ISO 8583
60’s - 90s
Your Legacy Infrastructure Is Not Fit For The
Future

9. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc. 9
ATM
Tandem - Base24
Contact
Center
Core
enabled
branches
Internet
Banking
Mobile
Banking
Account Origination Enterprise Data Warehousing
Liquidity Management Customer 360 CRM
Doc Mgmt. Campaign Mgmt. Business Analytics
ESB/Integration Layer
Databases Mainframes MQs
SOA
Layer
First decade of 2000s
...
Your Legacy Infrastructure Is Not Fit For The
Future

10. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Second decade of 2000s
10
ATM
Tandem - Base24
Contact
Center
Core
enabled
branches
Internet
Banking
Mobile
Banking
Microservices
Ecosystem
External API layer
Customer
microservice
Product
Notification
Cross-Sell
Payment
Personalisation
Customer
360
Gov
Services
...
ESB Layer Streaming Caching NoSQL
Databases Mainframes MQs Data Lake
...
Your Legacy Infrastructure Is Not Fit For The
Future

11. A quick segway….. Intro to
event streaming

12. Old world: Two popular locations for data
Operational databases Relational data warehouse
DB
DB
DB
DB DWH

13. App App App App
search
Hadoop
DWH
monitoring security
MQ MQ
cache
cache

14. Old world: scale or timely data, pick one
real-time
scale
batch
EAI
ETL
real-time BUT
not scalable
scalable BUT
batch

15. new world: streaming, real-time and scalable
real-time
scale
EAI
ETL
Streaming
Platform
real-time BUT
not scalable
real-time
AND scalable
scalable BUT
batch
batch

16. app logs app logs
app logs
app logs
#1: Extract as
unstructured text
#2: Transform1 = data cleansing
= “what is a product view”
#4: Transform2 =
drop PII fields”
#3: Load into DWH
DWH
An example

17. #1: Extract as
unstructured text
#2: Transform1 = data cleansing =
“what is a product view”
#4: Transform2 =
drop PII fields”
DWH
#2: Transform1 =
data cleansing =
“what is a product view”
#4: Transform2 = drop PII fields”
Cassandra
#1: Extract as
unstructured text
again
#3: Load cleansed data
#3: Load cleansed data
Introducing a change

18. #1: Extract as
structured product
view events
#2: Transforms = drop
PII fields”
#4:.1 Load product
view stream
#4: Load
filtered product
View stream
DWH
Cassandra
Streaming
Platform
#4.2 Load
filtered product
view stream
With Confluent ….

19. How Confluent Event Streaming Works
Datastores
Business
/ Custom Apps
PoS Systems
SaaS Apps
ERP Systems
Middleware
Systems
Machine data
ML Engines
Ingest and
aggregate events
from everywhere
Join, enrich, transform and
analyze data in real-time
Store and persist events in a
highly available and scalable
platform
BI Tools
Standardize schemas to
ensure data compatibility
to all downstream apps
SIEM and
Observability
tools
Data lakes &
warehouses
Real-time alerts
and dashboards
Convert raw events into clean, usable data Unlock value
Bring all your data together
in real-time
Integrate with 100+
pre-built connectors
Applications

20. Confluent Completes Apache Kafka
Freedom of choice to deploy
how and where you want —
cloud, on-prem, hybrid, or
multi-cloud
Connect across key data
sources, sinks, and apps
Elastically scale to store
and process massive
amounts of data
Easiest way to build stream
processing applications
Secure sensitive events
to keep your business
processes and apps
compliant
Increase operational
efficiency while keeping
costs as low as possible
20

21. Top 6 Financial Services Use
Cases

22. Top 6 Financial Services Use Cases for Event
Streaming
Better Customer
Experiences
Unlocking the Value
in your Mainframes
and Core Systems
Payments
Everywhere
Open
Banking
Security
and Fraud
Regulatory
Compliance
...

23. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Businesses Have Transformed With Confluent
23
Drive personalized
experience through
data while staying
compliant with
industry regulations
Reimagine Customer
Experiences
Enable big data analytics
for real-time credit
scoring, fraud detection,
and merchant
assessment services
Secure the
Enterprise
Power a real-time
automated intelligent
system to enable a unified
digital experience across
discrete lines of business
Democratize
Data Access
Build a more complete
trading platform meeting
stringent response times
and regulatory
compliance
Innovate
with Speed

24. Creating unique customer
experiences

25. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Integrate All Your Data For 360o
View And
Personalized Engagement
Downstream
datastores
Ecosystem
integrations
Customer
segmentation
CUSTOMER
BEHAVIOR
CORE
SYSTEMS
Social
ATM
Call Center
Website
Mobile
Payments
Wealth
Management
Retail
Events
Wholesale
Events
Market Data
Trade Data
Customer
Com

26. Real Time Offers in Retail/Consumer Banking - Sample examples
Line of Business Types of Offers Generalised benefits
Credit Card Business 1. Real-time location based offers
2. Real-time increase in credit limit
3. EPP plans at POS or e-POS
4. E-commerce tranx and payment plan
1. Increase in uptake of merchant offers.
2. Increase in revenue from merchant promos
3. Increase in revenues from more activity on
credit cards
4. Increase in revenue from merchant fees.
5. Increase in NII
Assets 1. Pre-login loan/mortgage pages to
actual conversion
2. Open API based bundled offers on
lending plus insurance
1. Telesales gets to work on hot leads and
higher conversion %.
2. Higher fee based income due to insurance
bundling.
3. Unsecured lending marketplace participation
especially for e-commerce transactions.
4. Increase in NII
Liabilities 1. Real time fee based income from
upsell/cross-sell offers on mobile and
internet channels.
2. Increase loyalty based transactions
3. Capture brokerage and FX drop-offs
in real-time and leverage other
channels to capture opportunity
1. Increase in fee based income
2. Higher NPS and also better engagement
scores.
3. Covid allowed for higher FX and brokerage
fees
4. Lower account origination charges

27. High level logical design for real time offers (Illustrative)
Core Banking Systems
Credit Card Systems
CIF
Wealth mgmt systems
MQ/CDC
MQ/CDC
MQ/CDC
REST/json
Data Lake/ Data
Warehouse
Merchant System/Static
Data
Model build &
analytics system
Marketing system -
Hosting the offer
palate
Microservices
Consumer Banking
Apps
Digital Services
APIs
Analytics
Data Platform
POS machines
Transaction
event capture
Create Offer
Update Offer
take-up/ failure
Cache/ Persistent Store - Capture
timestamp, privacy, identify customer segment,
identify earlier offer given, identifity location
KSQL
REST/json

28. 28

29. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
“We need to shift
our thinking from
everything-at-rest to
everything-in-motion.”
Director of Citi

30. Rewriting customer experiences
Challenge
Improve the customer experience through data while
staying compliant with industry regulations.
Solution
Implemented Confluent to stream data in real-time,
migrate to an event-based architecture and embark on a
microservices transformation.
Results
● Greatly reduced costs
● Increased efficiency in application building
● Lowered anomaly detection time from weeks to
seconds
● Implemented data reuse across teams for relevant
business insights
● Higher quality, faster and scalable customer services
“There isn't another product that competes with Confluent
Platform. Streaming data as events enables completely new
ways for solving problems at scale.”
— Mike Krolnik, Head of Engineering, Enterprise Cloud

31. Unlocking the value of
mainframes and Core Systems

32. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Current Core integration architectures
App App App
!
! Outdated technologies
! Expensive to maintain
! No clear path to migration
Mainframe Oracle SQL
! Built for low volume high value
trnx

33. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
A different way to integrate Core Systems
App App App
!
1
1 Send events from applications
directly to Kafka using JMS
connectors.
Mainframe Oracle SQL
1
2 For applications which allow
use out of the box supported
connectors - MQ, Qlik CDC,
Oracle CDC and IIDR to convert
data at rest to data at motion.

34. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Migrate Over Time With Our Support
App App App
1
1 Send events from applications
directly to Kafka
2 Eliminate legacy data
infrastructure & make your data
architecture modern.
Unify and simplify
✓ Lower TCO
✓ Future-proof architecture
✓

35. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Payment
Gateway
Instant Payments Anywhere, Anytime: Clearing &
Settlement
Branch
Mobile
Phone
Internet
Service
App
Channels
Settlement Service
Payment Gateway
Clearing
Clearing Request
Clearing Notification
Settlement Request
Settlement Notification
Balance Report
Settlement Notification
Balance Report
Payer Payee
Payment
Gateway
Branch
Mobile
Phone
Internet
Service
App
Channels

36. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Adjustments
Instant Payments Anywhere, Anytime:
Reconciliation
Customer makes
payment
1
Calculate Differences
3
Update Balance
4
5
Bank File
APP
Bank statement
2
Cash book
2

37. Challenge
Rapidly transform digital services to meet customers’ rising
expectations for highly secure, personalized and valuable
experiences.
Solution
With the ability to combine real-time results with historical
events, Confluent is leading the charge in helping enterprises
discover new services and modernize existing ones with the
power of event streaming.
Results
● Credit Suisse Names Confluent a Disruptive Technology
Award Winner
“Enterprise IT is under immense pressure to rapidly transform
digital services to meet customers’ rising expectations for highly
secure, personalized and valuable experiences. With the ability to
combine real-time results with historical events, Confluent is
leading the charge in helping enterprises discover new services
and modernize existing ones with the power of event streaming.”
— David Patten, CIO of Investment Banking Capital Markets 37

38. Security & Fraud Management

39. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Enable Real-time Fraud Scoring And Detection
Payments
Credit Card
Transactions
Debit Card
Transactions
Credit Card
Applications
Mortgage
Applications
Real-time
Fraud Scoring
ML Model
Enhancement
Fraud Case
Management
Historical
Analysis

40. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Deliver Contextually Rich Data To Your Security
Tools To Reduce False Positives And Costs
40
Application Logs
Network Logs
Database logs
OS Logs
Collect all data sources
into Confluent Platform
Filter events streams
and only send priority
events to SIEM
Shorten SIEM retention
window
Offload fast query
and search
Send high
priority data
to SIEM
Send all data
to S3/HDFS for
cold storage
Open up data access
to new use cases

41. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
Build Real-time Dashboard And Reports For
Compliance, Audit And Monitoring
41
Messaging
Systems
Mainframe
Databases
Big Data / Analytics Systems
SQL & NoSQL
Databases
Visualization
Tools
Regulatory
reporting
Real-time
dashboards
In-flight stream
processing

42. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
“We look at events as running our
business. Business people within
our organization want to be able to
react to events—and oftentimes it's
a combination of events.”
VP of Streaming Data Engineering

43. Powering real-time analytics for credit
scoring, fraud detection, and merchant
assessment services
Challenge
Drive a digital transformation at the largest bank in Indonesia to
improve the bank’s market position and increase financial inclusion
across the country.
Solution
Use Confluent Platform and Apache Kafka to deploy an
event-driven microservices architecture that powers big data
analytics for real-time credit scoring, fraud detection, and merchant
assessment services.
Results
● Fraud detection performed in real-time
● Loan disbursement times cut from two weeks to two minutes
● ISO-certified open API created
● Loan defaults predicted proactively; NPL at 0%
“Confluent Platform and Apache Kafka, by enabling us to build and
deploy real-time event-driven systems for credit scoring, have
helped BRI become the most profitable bank in Indonesia.”
— Kaspar Situmorang, Executive Vice President
43

44. Solace Environment OATS Reporting Layer
Tibco Environment
Challenge
Provide a reliable, robust and
scalable solution to migrate from
legacy systems and OATS
reporting, while handling high
throughput from trading
systems
Solution
Use Confluent Platform to
modernize messaging platform,
ingest high-volume trade data,
filter and enrich in-flight and
integrate with Spark, Elastic,
HDFS and JDBC for real-time
reports
Top 5 US
Global Bank
Solace Queue (N)
Qlik
HTML
Frontend
tool
Tibco EMS
Solace Topics (100s)
Confluent
JMS Connector
Confluent Kafka
Confluent
HDFS Connector
In-flight stream
processing

45. Copyright 2021, Confluent, Inc. All rights reserved. This document may not be reproduced in any manner without the express written permission of Confluent, Inc.
I N V E S T M E N T & T I M E
V
A
L
U
E
3
4
5
1
2
Event Streaming is a Journey...
Early Interest
Central Nervous
System
Mission critical,
but disparate
LOBs
Identify a project
Mission-critical,
connected LOBs
Projects Platform

46. Summary
46
Event Streaming is
a new category of
data infrastructure
Event Streaming
is a competitive
requirement
Confluent is
your partner for
success

47. Win US$ 100 Amazon Vouchers
47
Complete a 2 minute survey and 3 winners will
receive AMAZON Vouchers @ US $100
Announcement to all respondents will be done on
Monday, March 1st.
Click here :
https://www.surveymonkey.com/r/Confluent_FSI
or scan the code ! THANK YOU