| Select Intellectual Capital Asset: | Myers-Holum has its own proprietary end-to-end project methodology, leveraging “best practices” from several others (e.g. Kimball, Inmon, Zachman). It is targeted exclusively at planning, designing and implementing large-scale, high-performance, data solutions and adheres to either a Corporate Information Factory (CIF) or Data Warehouse Bus (MD) architectures. Some key features include: - Follows a four-path approach, which emphasizes not only the technology infrastructure, but also the organization, business and data requirements. This enhances the ability of the project team to align organization and business requirements with the development of the information architecture.
- Maximizes concurrent tasking for a faster project completion, by dividing the overall project into subprojects, to ensure minimum interdependencies and well-defined boundaries.
- Encourages iteration for every phase of the information architecture development. At various stages of design and development, the project team is prompted to go back and review each phase. The iterative nature enables rapid, repeated execution of each phase with the opportunity to revisit items requiring further attention and detail.
- Aids in a smooth progression through project phases by incorporating Quality Assurance (QA) reviews at the end of each project phase.
- Defines specific roles and responsibilities for both the customer and MHI team members.
- Customized to meet the unique needs of each client.
In addition, MHI's Strategy and Planning methodology provides a detailed roadmap for performing an information strategy and planning initiative. Its four phases range from preparatory activities through information gathering through formation of recommendations and project plans. A graphical presentation of MHI’s methodology is presented below: 
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