IVI Framework Viewer

Representative POMs are described for Information Quality at each level of maturity.

2Basic

• Practice

  Develop and use data and information management processes.

  Outcome

  Ownership of data and information issues is emerging.

  Metric

  # of formal data or information stewards actively assigned to information chains.

• Practice

  Ensure Operations is sensitive to data and information quality issues and responds quickly.

  Outcome

  There is a realization that the ability of IT to clean data is limited and better solutions will be required.

  Metric

  # of formal data or information stewards actively assigned to information chains.

• Practice

  Design data and information validation and referential checks to be as close as possible to the point of entry.

  Outcome

  The organization begins to develop an end-to-end view of critical information chains.

  Metric

  # of validations and checks which are as close as possible to the point of entry.

• Practice

  React to data and information quality issues on a case-by-case basis.

  Outcome

  The organization begins to develop an end-to-end view of critical information chains.

  Metric

  # of controls in place to detect poor quality data.

• Practice

  Begin documenting some systems and processes.

  Outcome

  The organization begins to link business functions to information chain outcomes.

  Metrics

  • # of data entry errors.
  • # of processes mapped.

3Intermediate

• Practice

  Follow an information life cycle management approach.

  Outcome

  The organization switches from a reactive mode to a proactive managed approach to data and information management and quality.

  Metric

  # of systems requirements, policy, and process documents referring to the information life cycle.

• Practice

  Identify, measure, and manage key quality attributes of data and information.

  Outcome

  The organization has an improved end-to-end view of process and information flow dependencies.

  Metric

  % of critical processes and information chains mapped and documented.

• Practice

  Document systems, processes, and information chains (possibly in a centralized repository).

  Outcome

  Key quality considerations are identified at the planning stage of new processes/systems.

  Metrics

  • % of critical processes and information chains mapped and documented.
  • # of critical quality characteristics defined, documented, and measured.

• Practice

  Identify key 'critical to quality' characteristics of information and implement measurement processes.

  Outcome

  Understanding of data quality improves and the ability to make reliable decisions/reports increases.

  Metric

  # of critical quality characteristics defined, documented, and measured.

• Practice

  Start data and information stewardship, with appropriate training.

  Outcome

  Employees become more aware of their data responsibilities and are better able to carry them out.

  Metric

  # of data stewards identified and trained.

• Practice

  Adopt structured and repeatable approaches to diagnosis and remediation of data and information quality problems.

  Outcome

  The organization begins to improve quality in a structured way and learn from common causes of error.

  Metrics

  • Average time to remedy defects.
  • % reoccurrence of defects with similar causes.

4Advanced

• Practice

  Strategically manage data and information quality and the cost of quality and associated trade-offs.

  Outcome

  Data and information quality issues are minimized and associated risks lie within the risk profile for the business.

  Metric

  # of data or information quality metrics that are translated into risk statements and probabilities.

• Practice

  Adopt formal role profiles for data and information stewards.

  Outcome

  The organization makes formal commitment to stewardship.

  Metric

  % of staff filling formal data steward roles.

• Practice

  Adopt formal accountabilities and responsibilities for the quality of information at key points in information chains.

  Outcome

  The organization can assign responsibility for remedial actions and process changes more effectively.

  Metric

  % of role profiles with clear data quality responsibilities/accountabilities.

• Practice

  Define data and information quality key process indicators (KPIs) in the context of strategic level KPIs and goals.

  Outcome

  The organization has a clear line of sight of the contribution of quality data and information to achieving the organization's goals.

  Metric

  % of strategic KPIs that have a data quality KPI equivalent.

• Practice

  Adopt formal training in data and information quality principles and practices as part of job roles.

  Outcome

  Management and staff understand how to influence data and information quality KPIs and address quality failures which lead to KPI variances.

  Metric

  % of managers with formal training in data and information quality.

5Optimized

• Practice

  Continuously monitor information quality.

  Outcome

  The culture and processes to continuously improve data and information management exist.

  Metric

  # of formal information quality checkpoints in process and systems design and software development life cycles.

• Practice

  Design data and information quality into systems and solutions.

  Outcome

  Data and information quality issues are rare and the organization understands why its data and information are of a high quality and understands the cost-benefit ratios of that quality.

  Metric

  # of formal information quality checkpoints in process and systems design and software development life cycles.

• Practice

  Foster a data and information quality culture.

  Outcome

  All management and staff are aware of current quality levels and issues, and steps are being taken to remedy problems.

  Metrics

  • Frequency of management communication about information quality (formal and informal).
  • % of projects being run using a data and information quality framework.

• Practice

  Implement an information quality scorecard as part of standard management reporting.

  Outcome

  The risk of non-quality outcomes are reduced as staff act with constant awareness to quality issues and outcomes.

  Metric

  % of critical to quality processes being reported and tracked.