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Architecture

B1

Work with enterprise architects and enterprise information modellers to enable the efficient provision of data for analytical purposes — by using the appropriate business and technical architectures.

Improvement Planning

Practices-Outcomes-Metrics (POM)

Representative POMs are described for Architecture at each level of maturity.

2Basic
  • Practice
    Work with enterprise architects and data modellers to agree the architecture guidelines for data analytics.
    Outcome
    There is awareness and agreement on the data analytics architecture guidelines.
    Metric
    Number of architecture guidelines for data analytics.
3Intermediate
  • Practice
    Provide technology roadmaps for data analytics, highlighting where business value can be generated and created.
    Outcome
    The architecture roadmap provides guidance on the preferred organizational structures, processes, tools, and technologies that should be used and the timings for any proposed changes.
    Metrics
    • Number of technology roadmaps in use for data analytics.
    • Number of approved changes to data analytics roadmaps.
4Advanced
  • Practice
    Monitor and enforce architectural compliance for supporting tools and technologies, with the guidelines and roadmap for data analytics.
    Outcome
    The supporting tools and technologies for data analytics comply with the architectural guidelines and roadmap, or are scheduled to be compliant.
    Metric
    Percentage compliance of supporting tools and technologies for data analytics with the guidelines and roadmap.
5Optimized
  • Practice
    Use the latest research available, including vendor and industry best practices, to drive continuous architectural improvement.
    Outcome
    The organization is aware of and uses all of the available options for data analytics, when and where they are appropriate.
    Metric
    Number of improvements to the architecture for data analytics in the last year.