Extended Enterprise Modeling Language (EEML)
What is Extended Enterprise Modeling Language (EEML)?
EEML, or the Extended Enterprise Modeling Language, is a standardized modeling language used for representing and modeling the enterprise and its relationships with external entities. It provides a comprehensive view of the entire enterprise, including business processes, systems, and data structures.
EEML is designed to help organizations better understand and manage their business processes, improve communication and collaboration between different departments and stakeholders, and enhance decision-making. It provides a clear and comprehensive representation of the enterprise architecture, which can be used to analyze, design, and optimize business processes.
EEML is based on a well-established modeling language and framework, and it is supported by a growing community of users and vendors. This makes it a robust and flexible tool for modeling and representing the enterprise, and it is well-suited for organizations of all sizes and industries.
The purpose of EEML is to provide a standardized and comprehensive representation of an organization's enterprise architecture. This includes business processes, systems, data structures, and relationships with external entities.
EEML helps organizations to better understand their business processes and to identify areas for improvement. By providing a clear representation of the enterprise architecture, EEML makes it easier for IT managers to make informed decisions about business processes and systems.
EEML also helps to improve communication and collaboration between different departments and stakeholders. By providing a common language and framework for representing the enterprise, EEML enables stakeholders to work together more effectively and to make decisions that are aligned with the organization's goals and objectives.
In addition, EEML provides a basis for improving data visibility and interoperability. By modeling the relationships between different systems and data structures, EEML helps organizations to integrate and manage their data more effectively. This leads to improved decision making and enhanced efficiency.
History of Extended Enterprise Modeling Language
Extended Enterprise Modeling Language (EEML) is from the late 1990s, developed in the EU project EXTERNAL as an extension of the Action Port Model (APM) by S. Carlsen (1998). The EXTERNAL project aimed to "facilitate inter-organizational cooperation in knowledge-intensive industries. The project worked on the hypothesis that interactive process models form a suitable framework for tools and methodologies for dynamically networked organizations. In the project, EEML (Extended Enterprise Modelling Language) was first constructed as a common metamodel, designed to enable syntactic and semantic interoperability".
It was further developed in the EU projects Unified Enterprise Modelling Language (UEML) from 2002 to 2003 and the ongoing ATHENA project.
The objectives of the UEML Working group were to "define, to validate and to disseminate a set of core language constructs to support a Unified Language for Enterprise Modelling, named UEML, to serve as a basis for interoperability within a smart organization or a network of enterprises".
Key Components of EEML
EEML consists of several key components, including:
- Business Process Models: EEML includes models of the organization's business processes, which are representations of the sequences of activities that support the business. These models help IT managers to understand the flow of work in the organization, and to identify areas for improvement.
- Data Models: EEML includes models of the organization's data structures and relationships, which provide a comprehensive view of the organization's data assets. These models help IT managers to integrate and manage data more effectively, leading to improved decision-making.
- System Models: EEML includes models of the technology systems that support the organization's business processes. These models help IT managers to understand the relationships between different systems, and to identify areas for improvement.
- External Entity Models: EEML includes models of the relationships between the organization and its external entities, such as customers, suppliers, and partners. These models help IT managers to understand the relationships between the organization and its external partners, and to improve communication and collaboration.
- Metrics and KPIs: EEML includes metrics and KPIs, which provide a basis for measuring and monitoring the performance of the enterprise. These metrics and KPIs help IT managers to make informed decisions and to identify areas for improvement.
Overall, these components provide a comprehensive representation of the enterprise architecture and are essential for IT managers who are looking to improve their organization's systems and processes.
EEML has four layers of interest
- Generic Task Type
- This layer identifies the constituent tasks of generic, repetitive processes and the logical dependencies between these tasks.
- Specific Task Type
- In this layer process models are expanded, concretized, decomposed, and specialized to facilitate business solutions.
- Manage Task Instances
- Here, more detailed decisions are taken regarding work in the actual work environment with its organizational, information, and tool resources.
- Perform Task Instances
- This layer covers the actual execution of tasks.
IT managers should consider implementing EEML if they are facing any of the following challenges:
- Complex Systems: If the organization has complex systems that are difficult to manage and maintain, EEML can help to simplify the systems by providing a comprehensive representation of the enterprise architecture.
- Inefficient Business Processes: If the organization's business processes are inefficient or ineffective, EEML can help to identify areas for improvement by providing a clear representation of the business processes.
- Poor Data Management: If the organization is facing challenges in integrating and managing its data, EEML can help to improve data visibility and interoperability by modeling the relationships between different systems and data structures.
- Lack of Collaboration and Communication: If the organization is struggling to collaborate and communicate effectively with other departments and stakeholders, EEML can help by providing a common language and framework for representing the enterprise.
- Inadequate Monitoring and Reporting: If the organization is facing challenges in monitoring and reporting on the performance of its systems and processes, EEML can help by providing a basis for measuring and monitoring performance through metrics and KPIs.
Implementing EEML involves several key steps, including:
- Assessment: The first step in implementing EEML is to assess the current state of the enterprise architecture. This assessment should identify the existing business processes, systems, data structures, and relationships with external entities.
- Modeling: Once the assessment is complete, the next step is to create models of the enterprise architecture using EEML. This involves representing the organization's business processes, systems, data structures, and relationships with external entities in a standardized and comprehensive manner.
- Validation: After the models have been created, the next step is to validate the accuracy and completeness of the models. This may involve reviewing the models with stakeholders and making any necessary revisions.
- Implementation: Once the models have been validated, the next step is to implement the EEML models in the organization's systems and processes. This may involve updating existing systems, or developing new systems to support the organization's business processes.
- Monitoring and Review: The final step in implementing EEML is to monitor and review the performance of the enterprise. This may involve monitoring metrics and KPIs, and making any necessary revisions to the models or systems to improve performance.
Implementing EEML can be a complex and time-consuming process, but it can also provide significant benefits for organizations looking to improve their systems and processes. IT managers should carefully plan and execute the implementation process to ensure its success.