Modeling: Data, Process, Events, Objects

Describes the basic features and concepts of modeling (ex: data, processes, events, objects).

Identifies commonly used models and describes their purpose.

Identifies standards for organizational modeling (ex: data, processes, events, objects).

Lists advanced tools, techniques and systems for data, processes or event models.

Defines common types of data, processes or event models.

Explains existing models to clients and describes their associated business processes.

Participates in model reviews and walkthroughs.

Prepares reports to recap current findings and issues in data, processes or event models.

Focuses on modifying Data Structure, Access and Entity Relationship Diagrams.

Designs automated modeling tools and their associated techniques.

Directs comprehensive modeling review activities to ensure organizational policies are met.

Recommends improvements to existing model database, including data, processes or event models.

Evaluates the benefits/production gained from new data model process optimization.

Coaches others on the concepts and techniques of event model partitioning.

Contrasts methods and considerations for normalization and model stabilization.

Applies modeling disciplines to complex and divergent business functions.

Constructs a monitoring system to supervise modeling (data, process, event and object) processes.

Establishes data, process or event models standards and procedures for the organization.

Champions the use of the latest techniques in modeling across the industry.

Builds best practices and industry standards for modeling business information, processes and events.

Expounds on the history and future of data, processes or event models.