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AIIM Webinar: Defuse the Ticking Time Bomb of Data by Leveraging Smart Technology

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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

Veröffentlicht in: Technologie
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AIIM Webinar: Defuse the Ticking Time Bomb of Data by Leveraging Smart Technology

  1. 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. 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. 3. Underwritten by: Digital Transformation – A Reality Check The Ticking Time Bomb of Data Q&A 1 2 3 Agenda
  4. 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. 5. Underwritten by:
  6. 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. 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. 8. Underwritten by: Building on Sand? Legacy Systems Disconnected Systems Search not find Customer Experience Mobile & Web Apps Performance & Scalability
  9. 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. 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. 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. 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. 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. 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. 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. 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. 17. Underwritten by: Thank You nuxeo.com/information- systems-modernization www.nuxeo.com Twitter: @instinctivedave Email: djones@Nuxeo.com

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