Data is a valuable asset to your business - driving competitive advantage and transforming the customer experience. And, while overburdened legacy systems are practically exploding with data, most organizations are unable to leverage it. Learn how to defuse data issues by using smart technology like AI, Micro-Services, and modern Content Services to implement practical business solutions that help you

1. 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
A Case Study on Transforming
Customer Experience in Banking
Presented March 20, 2019
Data is a Ticking Time Bomb:
How to Successfully Defuse it by Leveraging Smart
Technology
A Case Study on Transforming
Customer Experience in Banking
An AIIM Webinar presented March 20, 2019

2. Underwritten by:
Today’s Speakers
Norman Wren
Leading Financial Services Analyst
David Jones
VP of Product Marketing
Nuxeo
Host: Theresa Resek, CIP
Director
AIIM

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

4. Underwritten by:
Introductions
4
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:

6. 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

7. 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

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

9. 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

10. 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

11. 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

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

13. 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

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

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

16. 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

17. Underwritten by:
Thank You
nuxeo.com/information-
systems-modernization
www.nuxeo.com
Twitter: @instinctivedave
Email: djones@Nuxeo.com