Data Governance

Simplified

Data Governance is a broad term, to say the least. What does it mean from an Insight-EA point-of-view? It means the ability to model your information and data consistently, from the highest level business view to the detailed interactions between Applications. It means a comprehensive set of Business and Data Rules, and the ability to relate these to all of the other key object types in the repository. It also means advanced tooling like Interaction Models and Event Models that allow you to prepare for complex scenarios like Master Data Management, with the confidence that you have a complete understanding of how Information and Data are created, used and managed across your organization from a variety of dimensions including Process, People, Applications and Technology.

Information Mapping

Another element of an organization’s Business Architecture is the Information Map, which helps to understand how information data flows through your organization. This is foundational to important Information Management efforts such as Data Governance and Analytics.

The Information Map is a high-level model of Information Concepts and Data Items. This extremely valuable tool provides a comprehensive set of definitions to ensure that information concepts are used consistently across efforts related to Applications, Modeling, Governance, and Analytics.

Information Maps can show the relationships between Information Concepts and other key business objects such as Capabilities, Organizational Units, Business Processes, Value Streams, etc. When used in conjunction with other Insight-EA tools and techniques, Information may also show the relationships between all of these concepts with the underlying data, revealing how information flows through and across your organization. Information Maps visualize taxonomical structures, both current and future state, so that project efforts are better equipped  to align with the information strategy of your organization. If the data is within the Insight-EA repository, you can leverage it to create a better understanding of how your organization uses its information and data.

Business Rules and Data Rules

Business Rules allow Insight-EA users to code and catalog the rules that apply to Business Processes, Capabilities and Business Terms.

Data Rules describe the implementation of Business Rules in a way that can be executed by a runtime rules engine. They are typically modeled as part of a Solution Architecture, showing their associated Applications, Owners, Stewards, Technologies, etc. Data Rules can also form part of an Interaction Model or an Event Model.

Interaction Models

Interaction Models are a powerful tool that let you model the flow of Information between Applications. Available at both the business and the technical level of detail, these Models can clearly communicate and show how Information moves through your organization. These Model details such as the type of Interaction (Manual, Semi-Automated or Fully Automated) and the triggers all help to show a picture of where there are weaknesses in the Information Flow.

Value Stream Cross-Maps and Event Modeling

Another powerful use of the Value Stream Cross-Map is to portray Event Models. These are meta data-driven models that show how information and data are managed over the various stages that make up a Value Stream.