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Modeling: Data, Process, Events, Objects

Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.

Behavior Statements

Proficiency Level 1 - Basic understanding

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.

Proficiency Level 2 - Working experience

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.

Proficiency Level 3 - Extensive experience

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.

Proficiency Level 4 - Subject matter depth and breadth

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.

Interview Questions

  • How did you explain the relationships and correlations among data, processes, or events in a specific model?
  • Tell me about modeling projects you were involved in as a part of your previous job(s).
  • How did you use tools and techniques to develop new models to improve the organization's competitive position?
  • Analyze, from your perspective, the historical and future trends in data, process or events models.
  • How did you use modeling strategies to improve internal and external business processes?

Titles with Shared Competencies