Domain data coverage report
- 1 Introduction
- 1.1 Purpose
- 1.2 Key Features
- 1.3 Benefits
Introduction
The Domain Data Coverage Report in Orthogramic provides a visual representation of the completeness of business architecture data within an organisation. It identifies gaps and areas of strength across various business domains, enabling organisations to make informed decisions about areas requiring attention or further development. This report serves as a tool for business architects, analysts, and leadership to ensure that data quality and coverage align with organisational goals.
Purpose
The purpose of the Domain Data Coverage Report is to help organisations assess the health and completeness of their business architecture documentation. By providing a visual overview of data coverage within specific domains, it helps identify:
Areas with insufficient data.
Domains that need further investigation.
Nodes with optimal data quality.
Potential gaps or areas for improvement.
This allows for targeted efforts in improving business architecture data, ensuring that every key area is adequately represented and connected to the organisation’s strategic goals.
Key Features
Visual representation: The report uses colour-coded nodes to represent the status of data coverage.
Dashed border nodes: These nodes have no data or insufficient coverage.
Nodes with partial data: Displayed with a fill colour of #FDF6B2, indicating incomplete data.
Nodes with complete data: Highlighted in green with a fill colour of #BCF0DA, indicating strong coverage.
Handle indicators: Nodes have coloured handles to visually indicate their status:
Green handle (top right): Indicates good data coverage.
No handle: Indicates missing or insufficient data.
Comprehensive overview: The report provides a holistic view of how different business architecture domains are covered, from strategy and capabilities to information and stakeholders.
Example | Specifies | Signifier |
---|---|---|
An Organization structure nodes that does not contain Domain data |
| |
A node with some data. |
| |
A node with good data. |
|
Benefits
Improved decision-making: The report empowers stakeholders to make data-driven decisions on where to focus efforts for data improvement.
Clear identification of gaps: By pinpointing areas with missing or incomplete data, the report helps guide remediation efforts.
Streamlined prioritisation: With clear indicators of well-covered areas versus underdeveloped ones, resources can be allocated efficiently.
Enhanced data quality: By identifying nodes with poor or missing data, organisations can address data quality issues, which leads to better business architecture and alignment with overall strategy.
Strategic insights: Leaders and architects can gain actionable insights to ensure that business domains are well-supported, ultimately leading to enhanced business performance and alignment.
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