[tabby title=»Performed»]
Level 1: Performed
Communications are managed locally.
The communications level and frequency may vary significantly between diferent parts of the organization and within diferent projects.
Example Work Products
- Announcements, emails, meeting notes, or web portal
[tabby title=»Managed»]
Level 2: Managed
2.1 The communications plan for data management is defined, documented, approved by stakeholders, and scheduled.
It is critical to plan and control communications to support the data management program. A communications strategy typically includes a matrix for guiding operational communications. The matrix may consist of designations by topic (e.g., data quality), type (e.g., profiling process, data quality policy), audience (e.g., data stewards), frequency (e.g., quarterly, event-driven), date created, modified, or sunsetted.
Refer to Data Management Strategy for details of the strategy that need to be communicated.
2.2 Data management standards, policies, and processes are communicated and adjusted based upon feedback.
Example Work Products
- Communications policy
- Announcements, emails, meeting notes, or portal Communications strategy
- Communications examples
[tabby title=»Defined»]
Level 3: Defined
3.1 The communications policy establishes criteria for the dissemination or promulgation of different types of data management communications.
Varying levels of importance dictate that some messages are communicated di erently than others. It is important that guidelines are used to influence communication planning and dictate the types of communication based on criteria that are aligned with the scope and importance of the message.
3.2 The communications strategy is guided by an organization-wide policy and reflects the data management strategy.
3.3 Standards, policies, and processes are promulgated across the organization and adjusted based upon feedback.
3.4 Communications are reviewed by stakeholder peers according to a process that is required by defined standards, and processes.
3.5 Metrics are employed to improve data management communications effec- tiveness.
Communications metrics depend upon the stated goals, objectives, and channels defined in the communications strategy. They should measure the e ectiveness and e ciency of data management communications. Examples of communications metrics include percentage of stakeholders identified; adoption rate of data management policies and procedures communicated to stakeholders; percentage of stakeholders involved in the development of the data management communications strategy.
Example Work Products
- Communications policy
- Announcements, emails, meeting notes, or portal
- Communications e ectiveness metrics
- Communication plan
- Peer feedback about communications
[tabby title=»Measured»]
Level 4: Measured
4.1 Data management communications with external stakeholders are planned and conducted according to the communications strategy.
External audiences typically include regulatory bodies, industry and trade organizations, and standards bodies.
4.2 Statistical and other quantitative techniques are employed to improve data management communications.
Example Work Products
- Changes to data management communication plans linked to communi- cations eectiveness metrics
- Regulatory correspondence (i.e., responses to inquiries, reports, and memoranda)
[tabby title=»Optimized»]
Level 5: Optimized
External data management communications are made with the purpose of influencing public policies and industry best practices that impact data.
Example Work Products
- External communications
- Impacted public policies and industry best practices
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