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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 in Orthogramic?

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In summary, Information in Orthogramic is not a static asset to be catalogued and stored, as it often is in BIZBOK, but a dynamic, integrated resource that drives business performance and strategic alignment. By embedding Information within the broader business architecture and linking it to other domains, Orthogramic transforms data from a passive resource into an active driver of organizational success. This modern approach enables organizations to maintain data relevance, anticipate changes, and make informed decisions faster than traditional, documentation-heavy methods. Orthogramic’s holistic, real-time, and predictive methodology empowers organizations to leverage Information not just for operational efficiency but for achieving long-term strategic goals.

Information domain modernized

To modernize the concept of information beyond the Information domain in BIZBOK, using an API from a data catalog like Atlan offers transformative possibilities. Data catalogs provide a comprehensive, metadata-driven platform for managing data across various ecosystems, which allows you to rethink how information is managed and leveraged within an enterprise.

Here’s how you could extend the traditional BIZBOK information domain using a data catalog:

Metadata-Driven information architecture

  • Traditional approach: BIZBOK’s Information domain often centers around mapping information concepts and entities relevant to the organization.

  • Modernized approach: With a data catalog’s API, you could introduce dynamic, metadata-driven architecture. This goes beyond static information mapping to real-time metadata management that integrates with various systems, offering up-to-date information governance.

  • Benefit: Enhances data discoverability, lineage tracking, and improves collaboration across data users (e.g., business analysts, data engineers).

Data Lineage and governance automation

  • Traditional approach: BIZBOK promotes understanding how information supports business processes through static mappings.

  • Modernized approach: A data catalog’s API could automate and visualize data lineage. This provides a comprehensive view of how data flows across the enterprise, who uses it, and for what purposes—offering richer insights into the lifecycle and integrity of data.

  • Benefit: Data lineage can empower decision-makers to ensure regulatory compliance and data quality in real time.

AI-Enhanced information discovery

  • Traditional approach: In BIZBOK, information discovery is often a manual process involving stakeholders identifying key information entities and relationships.

  • Modernized approach: Leverage AI/ML models within a data catalog to automate the discovery of data relationships, anomalies, and patterns across datasets. This helps enrich the context around data assets, making them more actionable and valuable to business architecture activities.

  • Benefit: AI-enhanced discovery helps with faster insights and makes business architecture more agile by providing actionable, context-aware information.

Collaborative data and information stewardship

  • Traditional approach: BIZBOK views information management in siloed roles like Data Architects or Business Analysts.

  • Modernized approach: Atlan allows for collaborative data stewardship by involving multiple stakeholders, using data democratically across the organization. Data cataloging, enriched through user-generated insights, ensures a collaborative platform where everyone contributes to and benefits from information transparency.

  • Benefit: Breaking silos and encouraging a cross-functional approach ensures that business decisions are made with comprehensive information.

Real-Time analytics and KPIs

  • Traditional approach: BIZBOK’s Information domain often relies on static KPIs derived from past data.

  • Modernized approach: Integrating Atlan with other real-time analytics platforms allows you to monitor live KPIs and dashboards. This provides immediate insights into the performance of various processes and supports more dynamic decision-making.

  • Benefit: You can adapt strategies and operations in real-time, improving agility and performance outcomes.

Automated data governance policies

  • Traditional approach: Governance policies within the BIZBOK Information domain are often manually implemented and updated.

  • Modernized approach: Using a data catalog's API, you could automate data governance policies, applying them across different data sources and ensuring continuous compliance with regulatory frameworks.

  • Benefit: This approach minimizes manual overhead while ensuring governance standards are met efficiently.

Data as a Service (DaaS)

  • Traditional approach: BIZBOK’s Information domain looks at information as a support function for business processes.

  • Modernized approach: By leveraging Atlan’s API, you could promote Data as a Service (DaaS), enabling business users to access curated datasets and insights on demand. This shifts the focus of information from being a static asset to an actionable service.

  • Benefit: Information becomes more valuable and accessible across the organization, supporting a range of business architecture and strategy needs.

By integrating Atlan’s advanced capabilities into your enterprise architecture, you can transcend BIZBOK's static concept of the Information domain, creating a more dynamic, automated, and collaborative environment for managing and utilizing information across your business.

Information details

Each Information detail page describes the structure and flow of information within the organization, including data models and information flow diagrams. This ensures that information management supports strategic decision-making and operational efficiency. It is reached from Business Architecture > Information.

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Info

Relationship of Domain, Attributes, Elements and Sub-Elements

To understand the Relationship of Domain, Attributes, Elements and Sub-Elements, see: https://orthogramic.atlassian.net/wiki/spaces/OUG/pages/55246856/Business+Architecture+Domain+Attributes+Elements#The-relationships-between-Business-Architecture-Domains%2C-Attributes%2C-Elements-and-Sub-Elements

Information attributes

Domain

Attribute

Description

Example

Information

Title

The name or title of the information management element.

Data Dictionary

Information

Description

A detailed explanation of what the information management element entails.

Definitions and descriptions of data elements used within the organization.

Information

Purpose

The intended purpose or function of the information management element within the organization.

To ensure consistent understanding and use of data elements.

Information

Owner

The individual or team responsible for the information management element.

Data Management Team

Information

Organizational Unit

The organizational unit(s) to which the information management element is linked.

IT Department

Information

Inputs

The resources, information, or materials required for the information management element.

Data definitions, metadata

Information

Outputs

The deliverables or results produced by the information management element.

Data dictionary entries

Information

Processes

The set of processes that define how the information management element operates.

Data collection, data definition

Information

Performance Indicators

Metrics used to measure the effectiveness and efficiency of the information management element.

Accuracy of data definitions, frequency of updates

Information

Dependencies

Other elements, processes, or systems that the information management element depends on.

Database management system, metadata repository

Information

Related Information Elements

Information elements that are related or linked to this element.

Data models, information flow diagrams

Information

Maturity Level

The current maturity level of the information management element.

Level 3 - Defined

Information

Tools and Technologies

Tools and technologies used to support or enable the information management element.

Metadata management tools, data catalog software

Information

Compliance and Standards

Regulatory requirements and standards the information management element must adhere to.

ISO 8000, industry-specific standards

Information

Cost

The financial cost associated with implementing and maintaining the information management element.

Annual budget of $100,000

Information

Risks

Potential risks associated with the information management element and its operations.

Inconsistent data definitions, outdated information

Information

Improvement Opportunities

Areas where the information management element can be enhanced or improved.

Automated data dictionary updates, enhanced data governance

Information

Strategic Alignment

How the information management element aligns with the organization's strategic goals and objectives.

Supports the strategic goal of improving data quality

Information

Information Component

A piece of data or information used within the organization to support various processes and decision-making.

Customer Data includes personal details, purchase history, and preferences.

Information

Parent

A high-level policy that provides overarching principles or rules guiding business operations. It covers multiple sub-policies.

Customer Management

Information

Child

A specific policy that falls under a broader parent policy. It provides detailed rules and guidelines for a specific aspect of business operations.

Customer Onboarding

Information Element

Elements

Sub-Element

Description

Example

Information Element

Title

The name or title of the information component.

Customer Data

Information Element

Description

A detailed explanation of the information component.

Information related to customers including personal details, purchase history, and preferences.

Information Element

Purpose

The intended use or function of the information component.

To personalize customer interactions and improve service quality.

Information Element

Owner

The individual or team responsible for managing the information.

Data Management Team

Information Element

Organizational Unit

The organizational unit(s) using the information component.

Sales and Marketing, Customer Service

Information Element

Data Sources

The sources from which the information is collected.

CRM System, Online Forms

Information Element

Data Quality

The quality measures and standards for the information component.

Accuracy, Completeness, Consistency

Information Element

Security

The security measures applied to protect the information.

Encryption, Access Controls