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Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
Gene Leganza Vice President Forrester Research
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Gene Leganza Vice President Forrester Research

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  • 1. July 20, 2004. Call in at 12:55 p.m. Eastern Time Gene Leganza Vice President Forrester Research ForrTel: Creating The Information Architecture Function
  • 2. Agenda <ul><li>Information architecture: A definition </li></ul><ul><li>A description of the problem: Drivers for information architecture </li></ul><ul><li>Benefits, risks, and obstacles of an information architecture program </li></ul><ul><li>Creating the road map to a successful program </li></ul><ul><li>Achieving the strategic through tactical steps </li></ul>
  • 3. Definition <ul><li>Information architecture structures data and data relationships to facilitate analyses that feed business strategy and optimization decisions. It also serves as a link between business architecture and application architecture, providing a foundation for application design and delivery. It is a high-level construct for organizing all business uses of information in an enterprise. </li></ul>
  • 4. Enterprise architecture
  • 5. Drivers for information architecture <ul><li>Increasing data sources </li></ul><ul><li>Increasing need for integration </li></ul><ul><li>Data stored in apps is redundant and inconsistent </li></ul><ul><li>Data is isolated </li></ul><ul><li>Informal data extractions become business critical </li></ul><ul><li>No data supports the enterprise view </li></ul><ul><li>Increasing importance of unstructured data </li></ul><ul><li>Increased regulatory scrutiny </li></ul>
  • 6. Data integration: Major architecture driver Source: March 31, 2004, Best Practices “Successful Data Integration Requires Architecture”
  • 7. Benefits of introducing information architecture <ul><li>Enterprise-wide metadata repository creates central source of truth </li></ul><ul><li>Systemic data quality </li></ul><ul><li>Systemic processes to ensure security </li></ul><ul><li>Standard processes for data access </li></ul><ul><li>Architected data integration </li></ul><ul><li>Best practices data management </li></ul><ul><li>Well-bounded environments </li></ul><ul><li>Well-defined data storage requirements </li></ul>
  • 8. Distributed ETL Architecture
  • 9. Risks and obstacles <ul><li>It is a long-term program </li></ul><ul><li>Lack of continuity destroys incremental benefits </li></ul><ul><li>Resource commitment is critical </li></ul><ul><li>Is a cross-divisional effort </li></ul><ul><li>Data ownership is a common political obstacle </li></ul><ul><li>Terminology and conceptual issues obscure the goal </li></ul>
  • 10. Creating the road map Business case and management buy-in Context: EA program Create a comprehensive communication program Plan short-term deliverables Include business & IT stakeholders Implement a pilot or prototype
  • 11. Data warehouse reference architecture
  • 12. Recommendations: Achieving the strategic through tactical steps <ul><li>Begin with a clear understanding of the current state </li></ul><ul><li>Define the enterprise wide target state at a high level </li></ul><ul><li>Research and select key technology components </li></ul><ul><li>Select low-risk, medium-impact project for pilot implementation </li></ul><ul><li>Evaluate pilot exhaustively for lessons learned </li></ul><ul><li>Broaden program based on success </li></ul>
  • 13. Thank you Gene Leganza [email_address] www.forrester.com Entire contents © 2004 Forrester Research, Inc. All rights reserved.

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