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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
Underwritten by:
Today’s Speakers
Norman Wren
Leading Financial Services Analyst
David Jones
VP of Product Marketing
Nuxeo
Host: Theresa Resek, CIP
Director
AIIM
Underwritten by:
Digital Transformation – A Reality Check
The Ticking Time Bomb of Data
Q&A
1
2
3
Agenda
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
Underwritten by:
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
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
Underwritten by:
Building
on Sand?
Legacy Systems Disconnected Systems Search not find
Customer Experience Mobile & Web Apps
Performance
& Scalability
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
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
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
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
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
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
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
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
Underwritten by:
Thank You
nuxeo.com/information-
systems-modernization
www.nuxeo.com
Twitter: @instinctivedave
Email: djones@Nuxeo.com
Underwritten by:
Underwritten by:

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[Webinar Slides] Data is a Ticking Time Bomb: How to Successfully Defuse it by Leveraging Smart Technology

  • 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
  • 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