importance of Streaming applications in Banking

1. 1800 vs 33200
Subhojit Banerjee, DIAL Night Satellite image of North and South Korea
GDP per capita
Absorbing new ideas, why is it important?
border

2. The racing driver's mind has to have the ability to
have amazing anticipation, coordination, and
reflex. Because of the speed the car goes.
---emerson fittipaldi

3. You have to visualize a second or two ahead of your
car what line you are taking, what you are going to
do, before you get there because it comes too fast.
---emerson fittipaldi

4. FORMULA 1 DATA ENGINEERS ANALYZE DATA
FROM ~150 SENSORS PER CAR, TRACKING
VITAL STATS IN REAL TIME AND TRANSMIT
2GB OF DATA IN ONE LAP AND 3TB IN A FULL
RACE.

5. B U T R A C E C A R D R I V I N G I S N O T
B A N K I N G O R I S I T ?

6. CURRENT CHALLENGES IN
BANKING
customer time is
scarce. Quicker and cheaper is the norm
regulatory uncertanity
competitive landscape in a market of
commodized products. Only way to
differentiate is through better customer
experience
distruptive technology and fintech startups
digitization is deleting bordersfast fraudsters
volatile portfolio risk

7. Growing customer expectations –
Customers want instant gratification, and in many cases banking interactions are contextual
and must happen immediately. Timing is everything.
Shrinking decision windows –
More time sensitive use cases where a delayed reaction could hurt customer loyalty, channel
profitability or the reputation of a bank.
Increasing data velocity –
Quickly spotting risks and opportunities in data related to card payment transactions, IoT
objects, mobile, sensors or clickstream data. The analysis of these data sets needs to be done
fast to avoid this data becoming a wasting asset.

8. TIME VALUE OF DATA

9. TIME VALUE OF DATA
No body crosses the road using minute old data

10. SOLUTION OFFERING CUSTOMER AND DECISION MAKERS INSIGHTS TO HANDLE
CHALLENGES
REAL TIME
RELEVANT ACTIONABLE

11. WHAT ARE OUR PEERS IN THE INDUSTRY DOING in REAL TIME
1. Fraud Detection
a. Detect possible fraudulent transactions
b. Identify possible money laundering accounts.
2. Actionable insights:
a. small financial insights and robotized advice
b. customer defined alerts and push notifications
c. offer chat/call when customers don't finish their customer journey
d. Marketing and commercial offerings('Next Best action')
3. Wisdom of crowds:
a. Making use of similar customers to make better predictions
4. Online learning:
a. making use of customer feedback in real time to train models

12. TO KEEP ABN COMPETITIVE AND REAL TIME RELEVANT
INTRODUCING

13. D I A L
STREAMING

14. WHAT IS DIAL STREAMING
PLUG AND PLAY digital nervous system THAT IS
a. FAST
b. SECURE
c. SCALABLE
d. COMPLIANT
e. DISCOVERABLE
f. LOW LATENCY
g. HIGH THROUGHPUT
Enabling you to respond to events/threats/opportunties in real time rather than weeks

15. WHAT IS DIAL STREAMING
REAL TIME CONSUMERS
REAL TIME PRODUCERS

16. WHAT IS DIAL STREAMING
REAL TIME CONSUMERS
REAL TIME PRODUCERS
transactions
external events
economic indicators
customer service
fraud detection
cybersecurity
compliance
application monitoring

17. Event Driven Customer service example
Raw Events
Business relevant events
KAFKA
producer relevance engine machine learning customer communication
system of records datalake

18. SIDE EFFECT OF DIAL STREAMING
from mess crisp and clean architectureTO

19. DEMO

20. WHAT WILL YOU SEE IN THE DEMO
REAL TIME CONSUMERS
REAL TIME PRODUCERS Real time financial transactions
Elastic Search/Graphana Dashbrd
}
} Kafka cluster
}