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Data Gathering

E1

Identify data from internal and external sources that is likely to deliver on the analytical goals and objectives and make it available for analytic processing.

Improvement Planning

Practices-Outcomes-Metrics (POM)

Representative POMs are described for Data Gathering at each level of maturity.

2Basic
  • Practice
    Set out and document the data collection goals, to identify and gain access to the pertinent data sets.
    Outcome
    The focus is on identifying and accessing pertinent data sets.
    Metrics
    • Number of data sets identified.
    • Number of data sets that can be accessed.
3Intermediate
  • Practice
    Develop operational definitions and procedures so that the correct data sources are identified and made available for analytics.
    Outcome
    Data sources are identified and made available for analytics.
    Metric
    Number of data sets available to analytics.
4Advanced
  • Practice
    Use metadata standardization and enrichment, together with research and experimentation to collect and supplement the existing data, and to answer new questions.
    Outcome
    Metadata standardization and enrichment are used to combine existing with new data, and to address new questions.
    Metric
    Number of external data sets used by analytics.
5Optimized
  • Practice
    Regularly update and improve the data gathering processes based on feedback from across the business ecosystem and the latest research from academia, vendors, and industry.
    Outcomes
    • Research identifies new data sets and new combinations of data sets for analytics.
    • Data collection is continually and effectively readjusted in line with changes in requirements and input from research.
    Metrics
    • Number of new and revised data sets identified.
    • Number of improvements to the data gathering process.