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Representative POMs are described for Knowledge Asset Organization/Classification and Access at each level of maturity.

2Basic

• Practice

  Develop a business case, at community and department levels, that defines the need for classification and organization of knowledge assets.

  Outcome

  There is clear documentation of how knowledge organization contributes to business objectives.

  Metric

  Existence of a business case for the organization of knowledge assets.

• Practice

  Communicate the business case for classification to employees.

  Outcome

  Employees are aware of the reasons for the need to classify and organize knowledge assets.

  Metric

  Evidence of communication of the business case for classification of knowledge assets (e.g. emails, team meetings).

• Practice

  Identify suitable classification schemes at department level.

  Outcome

  Knowledge at departmental level is classified and organized using a scheme that works for that department.

  Metrics

  • # of relevant classification schemes identified and agreed per department.
  • % of knowledge content that has been classified.
  • # of classification needs and issues addressed.

• Practice

  Train employees in data protection and confidentiality awareness.

  Outcome

  There is increased awareness and compliance in data protection and confidentiality by employees.

  Metrics

  • % of employees trained.
  • % of employees who succeed to a defined extent in evaluation/testing of their understanding.

• Practice

  Implement data protection and confidentiality guidelines and policies.

  Outcome

  Compliance with data protection and confidentiality agreements is evident.

  Metrics

  • % of employees aware of data protection guidelines and policies.
  • # of business units who have mainstreamed these policies and guidelines.

3Intermediate

• Practice

  Automate some elements of the classification scheme.

  Outcome

  There is increased efficiency and effectiveness of knowledge asset classification activities.

  Metrics

  • % automation of some elements of the classification scheme.
  • % of elements of the classification scheme that are automated.

• Practice

  Define profiles of knowledge assets that are useful for creating KM capabilities, and store them for repeat use.

  Outcome

  Profiles of knowledge assets enable timely and efficient knowledge transfer for common knowledge needs.

  Metrics

  • % of profiles of knowledge assets considered useful for creating KM capabilities.
  • % of profiles of knowledge assets that are valid and can be stored for repeat use.

• Practice

  Enhance structured knowledge asset classification systems through usage analytics.

  Outcome

  Feedback is available on the appropriateness of current classification systems, so providing data for improvements.

  Metric

  Frequency of analytics for enhancing knowledge asset organization (# per month).

• Practice

  Conduct surveys to evaluate employee views on the usefulness and sufficiency of knowledge asset systems.

  Outcome

  Data on employee views is known and available to drive improvements and prioritize knowledge classification resources.

  Metrics

  • Frequency of survey rounds (as appropriate).
  • % of employee feedback that confirms usefulness of knowledge asset systems.

• Practice

  Train employees in search techniques.

  Outcome

  Employees have higher levels of success in locating relevant knowledge.

  Metrics

  • % of employees trained.
  • Satisfaction levels with search systems as assessed by employee feedback surveys.

4Advanced

• Practice

  Optimize and focus knowledge asset organization and access to ensure that senior decision makers receive focused and relevant knowledge assets.

  Outcome

  Senior decision makers can make informed decisions and waste less time filtering out irrelevant knowledge assets.

  Metric

  % of senior decision makers that have access to knowledge asset systems that provide them with targeted and relevant knowledge assets.

• Practice

  Measure recorded searches and access (in some parts of the organization) in order to determine whether classified knowledge assets meet expectations.

  Outcome

  Searches and access to knowledge assets are recorded and measured.

  Metrics

  • Frequency of measurement (# of iterations recording searches and access to knowledge assets per month).
  • # of searches and access recorded.
  • % of classified knowledge assets that meet expectations based on specified criteria.

5Optimized

• Practice

  Regularly update and train staff on new security threats to knowledge assets.

  Outcomes

  • There is a high level of employee awareness regarding any recent developments in security threats.
  • Knowledge assets are secure, in line with industry best practice.

  Metric

  Frequency of training and awareness raising.

• Practice

  Continuously improve classification schemes.

  Outcome

  Classification schemes evolve to optimize access to knowledge assets.

  Metrics

  • Frequency of improvement (# of iterations per month).
  • # of versions of improved classification schemes (# per year).

• Practice

  Continually align classification schemes with evolving business needs across the enterprise.

  Outcome

  Knowledge assets relevant to new business needs are effectively classified and can be retrieved.

  Metrics

  • # of evolving business needs defined.
  • % alignment of classification schemes and business needs.

• Practice

  Standardize and continuously enhance automated elements of the classification scheme across the enterprise.

  Outcome

  The classification scheme is enhanced by new technologies and can scale up as required by the organization.

  Metric

  Frequency of enhancements (# of iterations per defined period).

• Practice

  Automate and optimize knowledge security techniques.

  Outcome

  Knowledge assets are secure, in line with best known industry practice.

  Metric

  Frequency of enhancements to automated knowledge security defences.