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Introduction
The Information domain in Orthogramic is the foundation for managing the data and knowledge that drive business decisions and operations. This domain provides a detailed view of how Information flows through the organization, supporting Capabilities, Value Streams, and strategic objectives. By integrating Information with real-time analytics and governance rules, Orthogramic ensures data accuracy, relevance, and accessibility. Explore how the Information domain helps your organization leverage data as a strategic asset to achieve business goals efficiently and effectively.
What is Information
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In the Orthogramic Metamodel, Information is a foundational domain of the business architecture that The Information domain captures, organizes, and governs the data and knowledge critical to an organization's operations and strategic decisions. Information is integrated dynamically with other business architecture domains, making it an active component that supports real-time decision-making and strategic alignment. This interconnected approach ensures that Information is not just about what data an organization has, but how that data is used, shared, and leveraged across the business to drive performance and achieve objectives.
Information is closely linked to other domains such as Capabilities, Value Streams, Products, Stakeholders, and Policies. These relationships are managed through a detailed structure of attributes, elements, and sub-elements, allowing organizations to understand how Information supports and influences different aspects of their business. This interconnectedness provides a comprehensive view of how Information contributes to the overall business architecture, ensuring that data is contextualized and relevant to organizational goals.
The Information domain includes provisions for continuous updates and alignment with business needs, helping ensure that information remains accurate and relevant, supporting agile decision-making and reducing the risk of relying on outdated or incomplete data.
The domain structure accounts for the identification of patterns in data usage, trends, and recommending adjustments to Information architecture based on predictive insights. This capability allows organizations to anticipate changes in Information requirements and proactively adjust how data is collected, managed, and shared, enabling a forward-looking approach to Information management.
The Information domain in the Metamodel emphasizes contextualizing Information within the organization's workflow. Information elements are designed to be integrated directly into operational processes, ensuring accessibility to those who need it. For example, Information can be linked to Policies that govern data use or Capabilities that rely on specific data inputs, providing context that makes Information more actionable and relevant. This contextualization transforms Information from static data into a living asset that directly influences business operations and strategic choicesIt emphasizes contextualizing information within organizational workflows and integrating it with other domains like capabilities and value streams.
Data governance and quality are included embedded as key components, embedding rules and guidelines within the Information architecture itself. This governance ensures that data ensuring information is not only accessible but accurate, secure, and compliant with internal and external standards. This integrated approach simplifies data governance and reduces the administrative burden typically associated with maintaining high data standards. The domain framework supports collaborative decision-making and cross-functional initiatives by providing clear information structures that can be referenced and utilized across the organization, preventing information silos and promoting consistent understanding of data assets.
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Relationship of Domain, Attributes, Elements and Sub-Elements
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Information domain attributes
Attribute | Description | Example |
Title | The name or title of the information management element | Railroad Safety Data Analysis System |
Description | A detailed explanation of what the information management element entails | Centralized system for collecting and analyzing railroad safety data nationwide |
Purpose | The intended purpose or function of the information management element within the Organization | Enable data-driven safety decisions through comprehensive accident and inspection analysis |
Owner | The individual or team responsible for the information management element | Chief Safety Data Officer |
orgUnitTitle | The Organization unit(s) to which the information management element is linked | Safety Analysis Division |
Inputs | The resources information or materials required for the information management element | Accident reports, inspection data, hazmat incidents, PTC implementation status |
Outputs | The deliverables or results produced by the information management element | Monthly safety reports, risk predictions, trend analysis, regulatory recommendations |
Processes | The set of processes that define how the information management element operates | Data collection, validation, analysis, reporting, predictive modeling |
Performance Indicators | Metrics used to measure the effectiveness and efficiency of the information management element | Data accuracy: 99.8%, Report timeliness: 97%, Analysis completion rate: 95% |
Dependencies | Other elements processes or systems that the information management element depends on | Railroad reporting systems, inspection databases, accident investigation reports |
Related Information Elements | Information elements that are related or linked to this element | Track quality database, grade crossing inventory, bridge management system |
Maturity Level | The current maturity level of the information management element | Level 4 - Predictive Analytics Capability |
Tools and Technologies | Tools and technologies used to support or enable the information management element | Machine learning algorithms, SQL databases, visualization tools, statistical software |
Compliance and Standards | Regulatory requirements and standards the information management element must adhere to | 49 CFR Part 225 - Railroad Accidents/Incidents, FRA Data Quality Standards |
Cost | The financial cost associated with implementing and maintaining the information management element | Annual operating cost: $8.4M, Development budget: $2.1M |
Risks | Potential risks associated with the information management element and its operations | Data quality issues, system downtime, reporting delays, cybersecurity threats |
Improvement Opportunities | Areas where the information management element can be enhanced or improved | Implement AI-driven analysis, enhance mobile reporting, automate validation |
Strategic Alignment | How the information management element aligns with the Organizations strategic goals and objectives | Provides critical data support for accident reduction and safety improvement goals |
Information Component | A piece of data or information used within the Organization to support various processes and decision-making | Accident investigation reports, track inspection records, hazmat movement data |
Information component Element
Sub-Element | Description | Example |
Title | The name or title of the information component | Railroad Accident/Incident Reporting System |
Description | A detailed explanation of the information component | Centralized database for tracking and analyzing all railroad accidents incidents and casualties |
Purpose | The intended use or function of the information component | Enable comprehensive analysis of railroad safety trends and accident causes |
Owner | The individual or team responsible for managing the information | Director of Railroad Safety Analysis |
orgUnitTitle | The Organization unit(s) using the information component | Safety Analysis and Statistical Services Division |
Data Sources | The sources from which the information is collected | Form FRA F 6180.54 (Rail Equipment), Form FRA F 6180.57 (Highway-Rail Grade Crossing), Form FRA F 6180.55A (Railroad Injury and Illness Summary) |
Data Quality | The quality measures and standards for the information component | Accuracy: 99.9%, Completeness: 98.5%, Timeliness: 97% within 30 days |
Security | The security measures applied to protect the information | Role-based access control, 256-bit encryption, Multi-factor authentication |
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