Core transactional systems like the z/OS Mainframe and IBM i represent the backbone of the global economy. They run the most mission critical business processes today, but organizations do not have an efficient way to integrate their core business data with emerging cloud platforms for real-time analytics and modernization. Organizations that successfully integrate and operate new cloud-based technologies alongside these core transactional systems deliver a distinct and differentiated experience for their customers. This experience serves as their competitive advantage as business needs and offerings continue to grow. Join us for this session to learn how Precisely Connect can help use the power of Confluent to unlock IBM data for powering cloud-native, real-time revenue driving applications. Feel confident in your streaming journey, knowing you don’t need to leave essential transaction data behind!

1. Revolutionize Your
Data with Precisely and
Confluent Streaming
Technologies
John de Saint Phalle | Senior Product Manager

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3. Mainframes host the most critical applications
71%
Fortune 500
2.5 Billion
Transactions / day / per MF
$2.9 Billion
Mainframe market by 2025
Top World
Banks
92 of World’s
Top Insurers
10 of Top 25
US Retailers
23

4. Modern platforms lack native
mainframe and IBM i integration
Distributed and Cloud environments
Mainframes
Mainframe
As/400

5. Today’s customers expect data in real-time
Initiate an action
Instant confirmation
Source: https://www.gigaspaces.com/blog/amazon-found-every-100ms-of-latency-cost-them-1-in-sales d
~100 ms
in latency
can cost
you…
… 20% of
digital traffic
… $400M in
revenue

6. of Fortune 500 Companies
Use Apache Kafka
Over 70%
Kafka is the de facto standard for Data in Motion
Finance & Banking Insurance Telecom
Travel & Retail
10 OUT
OF 10 8 OUT
OF 8
10 OUT
OF 10
10 OUT
OF 10
Transportation Energy & Utilities Entertainment
Technology
8 OUT
OF 10 9 OUT
OF 10
10 OUT
OF 10 8 OUT
OF 10

7. Operationalizing Kafka on your own is difficult
Kafka is hard in experimentation. It gets harder (and riskier)
as you add mission-critical data and use cases.
Operational
burden &
resources
Security &
governance
Real-time
connectivity &
processing
Global
availability

8. What does this all mean for your business?
Expense Reduction
• $800K (annual) expense
reduction
• Today, 4-hour peak is ~1000
MIPS which costs the
enterprise $1.0M.
• An 80% cost reduction
($800K annually) is expected
once CDC is fully implemented
by reducing the 4-hour rolling
avg.
Leveraging inaccurate
and incomplete data to
make decisions
Unable to meet company
goals
Diminished performance
Increased business risk
Organizational
Current architecture is
expensive to maintain
and scale
Missed SLAs
Unplanned downtime
and breaches
Technology
Increased costs
Value of cloud investment
decreased
Value of mainframe
investment reduced
Financial
Deliver a poor customer
experience
Slower bringing new
revenue driving
applications to market
Delayed time to value
Customers

9. Confluent and Precisely Data
Integration enable organizations to
unlock IBM Mainframe data for use in
cloud-native, real-time applications.
Precisely Data
Integration

10. Confluent
Fully-managed, cloud-native data streaming platform built by the original creators of
Apache Kafka®
Everywhere
Connect your data in real
time with a platform that
spans from on-prem to
cloud and across clouds
Complete
Go above & beyond Kafka
with all the essential tools
for a complete data
streaming platform
Cloud-Native
Apache Kafka©, fully
managed and re-
architected to harness
the power of the cloud
Stream confidently on the world’s most trusted data streaming platform built by the founders of
Apache Kafka©, with resilience, security, compliance, and privacy built-in by default.

11. Connect data seamlessly from legacy systems into
next-gen cloud and data platforms
Batch data transformation Data replication via CDC
High-performance, lightweight batch
data processing for distributed
platforms
Real-time data replication to streaming
platforms, cloud, databases and data
warehouses
Mainframe Integration Use Cases

12. This helps solve a number of mainframe challenges…
High, unpredictable costs
Legacy code
Complex business logic
Data Silos
IBM Mainframe
on zOS
DB2
VSAM
IMS LOGS
Precisely Data
Integration
Confluent
Cloud

13. …and allows organizations to…
Bring real-time
access to
mainframes
Accelerate
application
development times
Increase the
ROI of their IBM
Systems
Future-proof
their
architectures

14. SOLUTION
• Precisely Connect for VSAM
to Kafka on AWS
BENEFITS
• Reduced MIPS usage, lowering
mainframe operational costs
• Improved customer experience
resulting in less churn and use of
lower cost customer service
channels
• Faster time to market than
competitive alternatives (150-250
days)
• Reduction of manual and
redundant system processing
SUCCESS STORY
OBJECTIVE
• This is one of the nation’s oldest
financial institutions with $188.4
billion in assets. They offer a
broad range of retail and
commercial banking products
and services. They are known to
offer tailored advice, ideas, and
solutions based on their
customers needs.
• Looking to modernize their
mainframe while also improving
customer satisfaction and the
overall “digital bank” experience
• 6% overall reduction in costs
• 80% reduction in MIPS usage
CHALLENGES
• Struggling to deliver consistent,
accurate data to customers
across channels leading to
customer churn
• Missed opportunities to sell
additional services resulting in
lost revenue
• $1 million in costs to provide
real-time data from the
mainframe
80%
reduction in MIPS usage
North American Bank

15. Questions?