In an era of unprecedented data accumulation and rapid technological evolution, organizations face the challenge of harnessing and leveraging data scattered across diverse IT environments. As executives advocate for cloud migration and adoption, the demand for seamless data integration becomes paramount. Yet, the question remains: how can IT teams not only bridge data silos but also ensure the data's real-time accuracy and consistency across platforms? Join our 30-minute session as we dive into the transformative potential of a "streaming-first" mindset, demonstrating how it enables organizations to maximize the value of their existing data assets and infrastructure. During this session, we will also explore: Why "streaming-first" is a critical approach to how organizations interact with their dataCustomer stories showing the benefits of using real-time over batch processesHow Precisely enables organizations to stream data they can trust

1. Embracing a
Streaming-First
Approach to Digital
Modernization
John de Saint Phalle | Director, Product Management

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3. Moving to the Cloud is a priority

4. “85% of organizations
will embrace a cloud-first
principle by 2025”
- Gartner
“55% of leaders cite data
modernization as the reason
for their shift to cloud”
- Deloitte
“60% of tech leaders say that
integrating multiple data sources is
their biggest hurdle to accessing
more real-time data”
- Confluent
As technology advances, customer
expectations become more demanding
while their patience diminishes

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
~100 ms
in latency
can cost
you…
… 20% of
digital traffic
… $400M in
revenue

6. Traditional pipelines can’t scale to address
customer needs
Data owned by IT
Massive, loosely integrated solutions
Slow, batch ETL processes
Resource-intensive data processing
Monolithic design
Separate business and IT metadata

7. Traditional pipelines can’t scale to address
customer needs
You’ve struggled with traditional solutions. We believe there’s a better way.
Data access owned by IT Collaboration between IT and business data users
Massive, loosely integrated solutions Just the scalable, interoperable capabilities you need
Data must be brought to the solution Workflows designed for the cloud that run alongside data
Slow, batch ETL processes Streaming data pipelines to the cloud
Separate business and IT metadata Scalable, shared catalog of business & technical metadata
Rules-based data management AI-driven quality rules, alerts, and data enrichment

8. Streaming data pipelines close the gap
Declarative
language to
specify logic
CDC instead
of ETL
Agile
Engineering

9. Benefits of real-time data streaming
Improved
operational
efficiency
Better customer
engagement /
retention
Faster / better
decision making
Faster time to
market
Identify new
business
opportunities
Increased revenue Reduced risk

10. Positioning IT Teams for Success
Systems are current
and accurate
Data is democratized
Maximizing value of
current architecture
Setting foundation
for AI use cases

11. Successful digital
modernization programs are
fueled by trusted data
pipelines that deliver
information where and
when you need it

12. A single solution for all your business demands
1
Resilient & Fault-
Tolerant Replication
2
Scalability &
Performance
3
Design Once,
Deploy Anywhere
4
Data When &
Where You Need It

13. Precisely's
single solution
for all your
business
demands
Consistency
Accuracy Context
Data
Integration
Data
Observabil
ity
Data
Quality
Geo
Addressing
Spatial
Analytics
Data
Governanc
e
Data
Enrichment
Data Integrity Foundation

14. Data Integration
Break down data silos by
quickly building modern data
pipelines that drive innovation

15. OBJECTIVE
Integrate data from mission-critical
mainframes into an API platform
to reduce the time and cost of
delivering applications
Stream audio files to S3 through call
center application, and leverage a
sync connector to move the data
into an analytics workspace in AWS
CHALLENGES
• Increased project delivery costs
over 10+ years by as much as 6x
• Batch or manual connectivity
between systems and partners
• Increasing demand for new
products and services
• Inconsistent and fragmented
experience across channels
Data Replication for Db2 and IMS to Confluent Cloud on AWS
Canadian Life Insurance Company
BENEFITS
• Near real time data availability
• Reduced change time from
30 days to 30 minutes
• Demonstrated lower MIPS
usage than existing solution
• Gave full control of data to
development teams

16. Turnkey solution to address many challenges
1 2 5
4
3 6
Change Data
Capture via Connect
Domain API
External
Providers
Domain
Services
Downstream
Channels
and Systems
Confluent
Cloud

17. Questions?