American Banker and Nuxeo webinar. Guest speaker Norman Wren, former Director of Technology & Operations at Santander, and Nuxeo Vice President, Dave Jones, discuss how modernizing legacy data systems using smart technology - like AI, micro-services, and modern content services - can help organizations drive tangible business value and improve the customer experience. They highlight real world examples of practical business applications and solutions.

1. Underwritten by:
Using Smart
Technologies To
Transform Legacy
Data into
Business Value
David Jones &
Norman Wren

2. Underwritten by:
Introductions
3
1
David Jones
▪ VP Product Marketing
▪ Nuxeo
2
Norman Wren
▪ Former Technical and Operations
Director
▪ Santander

3. Underwritten by:
Digital Transformation – A Reality Check
Data is a Ticking Time Bomb
Q&A
1
2
3
Agenda

4. Underwritten by:
Introductions
6
David Jones
▪ VP of Product Marketing
▪ Nuxeo
▪ @InstinctiveDave
2
Norman Wren
▪ Former Technical and Operations Director
▪ Santander
Digital Transformation
A Reality Check

5. Underwritten by:
Digital
Transformation
in Financial
Services
Massive Spend
Average $42M in 2018
Rising to $45M in 2019
Purpose
66% Customer facing innovations
Success?
88%
Project delayed, reduced scope, or cancelled
26%
Digital Transformation= Insurmountable Task
Statistics courtesy of Couchbase

6. Underwritten by:
“Everyone who hears these words of mine, and doesn't do them will be
like a foolish man, who built his house on the sand. The rain came down,
the floods came, and the winds blew, and beat on that house; and it
fell—and great was its fall.”
— Matthew 7:24–27

7. Underwritten by:
Building
on Sand?
Legacy Systems Disconnected Systems Search not find
Customer Experience Mobile & Web Apps
Performance
& Scalability

8. Underwritten by:
#AIIMYour Digital Transformation Begins with
Intelligent Information Management
Data is a Ticking
Time Bomb
How to successfully
defuse it by leveraging
smart technology
–
Norman Wren

9. Underwritten by:
Why is this
important? Customer expectation:
Customer in control
Unlimited data access
Always on 24 x 7
Real time
Added value services
Regulation :
Customer rights
Data portability
Open access to third parties
Remediation of historic practices
Internal driver:
Exploit data assets

10. Underwritten by:
Legacy Data
Challenges
• Fragmented data ; not real time; internal view; unstructured
data; access limited
• Multiple formats; limited documentation; knowledge gap
• Integrity within applications not across; degradation over time
• Security and data leakage
• Obsolescence
• Compliance with regulation
• Cost of Change; time to market ; consolidation of data stores.
• Architecture and technology compatibility
• BAU Running costs
• No scalability; access limitations; poor schema design
Access
Data Quality and
Integrity
Risk
Cost
Performance

11. Underwritten by:
Value:
3 Basic
Requirements ➢ Find Data
➢ Document attributes and meaning
➢ Understand usage and context
➢ Define architecture
➢ Set usage, access and security rules
➢ Build governance and ownership
➢ Organize around common business purposes
➢ Make accessible through common access layer
➢ Use metadata to organize and add value
➢ Build new capabilities – data driven
Understand the
Data
Manage the Data
Exploit the Data
3
1
2

12. Underwritten by:
Considerations
Archaeology:
Find and document data and
how used
Architecture:
Define data architecture and
principles
Data ECO system:
Distributed data
Define data usage:
Update; query; analytics
Common Layer:
To bridge technologies
Scaleability:
Cloud processing; distributed
data
Ownership:
Governance and accountability

13. Underwritten by:
Key Points
“Data as an Asset” needs:
• Clear ownership and accountability
• Knowledge and documentation meta data
• Clear understanding of usage and value
• Data architects and engineers
• Architectural readiness
• Capability
• Data strategy

14. Underwritten by:
Stick or Twist?
➢ Obsolescence
➢ Security
➢ Maintenance
➢ Cost
➢ Risk
➢ Cost
➢ Risk
➢ Data Quality
➢ Integrity
➢ Business case
➢ Less Risk
➢ Unlock assets
➢ Bridge old and new
➢ Create data eco system for the future
Do Nothing
Big Bang
Migration
Co-Existence/
Common Layer

15. Underwritten by:
Summary
• Data knowledge and documentation fundamental
• Hard work and time consuming
• Clear target architecture addressing data
• Technology stack and data usage
• Common layer to separate data from business processing
• Avoid migration if possible
• Avoid pitfall of access in situ
• Define common business purposes
• Build road map
• Balance value, cost and risk
• Invest in capability

16. Underwritten by:
Thank You
www.nuxeo.com
Twitter: @instinctivedave
Email: djones@Nuxeo.com