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Training Services |
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Introduction to Modeling for Data and Process Abstract Course familiarizes business and IS professionals with the fundamental principles, concepts, and standards of data and process modeling. Participants learn the elements of modeling via participatory presentation, discussion, and exercises from real-world situations. As more and more businesses realize that information is at the heart of their core competency and key to maintaining their competitive edge, they struggle with a standard way to represent this key corporate asset. Often, business managers, who are the makers of the business rules, are thwarted in their quest for meaningful information by archaic systems with unorganized data definitions. Business process re-engineering efforts are often separate from and have difficulty connecting to the data management efforts of the enterprise. Course help answer 'What's the best way to model the key processes and data of my company?' Audience Introductory course for business and information systems analysts, data administrators, project leaders, and consultants who are responsible for defining and documenting the data and process rules for the business. Course size is limited to 16 participants. A minimum of six participants is recommended. Prior attendance at the one-day Data Management Concepts course is strongly recommended. Course Outline I. Review of Data Management Concepts, or "Why Bother with Modeling?" II. Designing for Integration: "All models are wrong, but 'good' one's are useful." III. Data Modeling Fundamentals IV. Process Modeling Fundamentals V. Verification of Models VI. Implementation of Models VII. Wrap-up and Conclusion Data Management Concepts | Data Description and Naming | Implementing MetaStage | Meta Data Best Practices for DataStage Developers | |
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