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IT Data Management Maturity Scale.png
It Data Management Maturity Scale

Resource covering Maturity titled 'It Data Management Maturity Scale'.

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  • Q: What are the five levels of the IT Data Management Maturity Scale?
    A: Level 1: Chaos, Level 2: Reactive, Level 3: Proactive, Level 4: Service, Level 5: Value.
  • Q: What characterizes Level 1 (Chaos)?
    A: Ad-hoc processes, no central repository, data silos, and high operational risk.
  • Q: What characterizes Level 3 (Proactive)?
    A: Defined processes, centralized data management, automated reporting, and predictable service levels.
  • Q: What is the focus of Level 5 (Value)?
    A: Data is treated as a strategic asset; analytics drive business innovation and competitive advantage.
  • Q: What is the 'tipping point' between Level 2 and Level 3?
    A: The implementation of formal governance and standardized tools.
  • Q: Which level introduces 'Service Level Agreements' (SLAs)?
    A: Typically Level 3 or 4.
  • Q: What is the primary goal at Level 2 (Reactive)?
    A: Stabilizing operations and achieving basic visibility.
  • Q: What technology is typically introduced at Level 3?
    A: Centralized Log Management or SIEM.
  • Q: How does 'Cost' change across the maturity scale?
    A: It shifts from 'unpredictable/high operational cost' to 'optimized investment/high value return'.
  • Q: What represents the highest maturity in data usage?
    A: Predictive analytics and automated decision-making.

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