Enterprise Data Architecture Modernization AIMS & Key Challenges

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Modernization Aims:

  1. Modernization of robust data lifecycle management
  2. Upgrade data management for data integration, accessibility, and quality
  3. Advanced data-driven decision-making capabilities for customer outcomes and programs oversight

Key Challenges:

  1. Data Architecture
  2. Security
  3. Data Management & Governance
  4. Methodologies to support these initiatives
    1. Tools for data security
    2. Realtime Data Exchanges
    3. Model life cycle management
  5. Document Repository
  6. Cloud Tools
  7. Cloud Solutions
  8. API Management
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