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Knowledge Analysis

B4

Establish and implement processes, skillsets, tools, and linkages (e.g. to tacit knowledge) to seek and derive insights and intelligence from the organization's existing/accumulated knowledge resources, to facilitate informed decision-making. The context may include responses to both general guidelines as prescribed by KM strategy, and/or specific enquiries arising from within the organization.

Improvement Planning

Practices-Outcomes-Metrics (POM)

Representative POMs are described for Knowledge Analysis at each level of maturity.

2Basic
  • Practice
    Implement data analytics for specific topics in parts of the organization.
    Outcome
    Insights are gained on some topics on a basic (e.g. descriptive) level in parts of the organization.
    Metrics
    • # of topics for data analytics.
    • % of business units using data analytics tools.
3Intermediate
  • Practice
    Extend data analytics to include more advanced features on a wide range of relevant topics.
    Outcome
    Sophisticated insights can be gained, which inform the business.
    Metrics
    • # of topics for data analytics.
    • % of business units using advanced data analytics tools.
  • Practice
    Train employees in how to maximize the benefit of data analytics and combine this with expert input.
    Outcome
    Employees have the skills they need to derive value from data analytics.
    Metric
    % of relevant employees trained in data analytics.
4Advanced
  • Practice
    Report and discuss data analytics insights with the senior management team.
    Outcome
    Insights from data analytics are incorporated into senior management decisions.
    Metrics
    • % of senior management decision-making meetings which include reports based on data analytics.
    • # of decisions that reference to data analytics insights.
5Optimized
  • Practice
    Continuously optimize the use of data analytics through expert input and review of the latest research.
    Outcome
    Advanced application of data analytics leads to high-value insights.
    Metrics
    • % of employees actively engaged in reviewing the latest developments in data analytics.
    • % of business units using advanced data analytics tools.