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Analytics Technology Fit

B2

Select technologies that work in an integrated or interoperable manner and that support the required usage models — e.g. individual data exploration, embedded or automated analysis, and so forth.

Improvement Planning

Practices-Outcomes-Metrics (POM)

Representative POMs are described for Analytics Technology Fit at each level of maturity.

2Basic
  • Practice
    Select and implement basic tools and technologies that staff can utilize for data analytics (e.g. spreadsheets or SQL).
    Outcome
    A basic toolset is used for data analytics and to access the available data sets.
    Metric
    Number of tools and technologies that support data analytics.
3Intermediate
  • Practice
    Provide professional grade analytics tool sets to enable an effective data analytics service.
    Outcome
    Analytical technologies deliver data analytical goals from organization-wide data sets while protecting business operations from errant queries.
    Metric
    Number of tools and technologies that directly support the goals for data analytics.
4Advanced
  • Practice
    Use advanced tools and technologies that provide comprehensive integration and interoperability to support advanced models for data analytics.
    Outcome
    Advanced analytical technologies deliver advanced goals and objectives.
    Metric
    Number of tools and technologies that exceed expectations for data analytics.
5Optimized
  • Practice
    Enable and use the most advanced capabilities of the data analytics tool sets to answer complex data analytics questions.
    Outcome
    Data analysts are equipped with the best tool sets, that seamlessly interoperate or integrate with business ecosystem data sets, and are enabled to satisfy the most demanding data analytical tasks.
    Metric
    Cost to implement, integrate, and operate data analytics tools and technologies.