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Data Modeling With this background, you are ready to build E R D s for moderate-size business situa tions You should have confidence in your knowledge of the Crow's Foot notation, applying the notation to narrative problems, and converting diagrams to table designs
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Analyzing Business D a t a Modeling Problems
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After studying the Crow's Foot notation, y o u are n o w ready to apply your knowledge This section presents guidelines to analyze information needs o f business environments The guidelines involve analysis o f narrative problem descriptions as well as the challenges o f determining information requirements in unstructured business situations After presenting the guidelines, they are applied to develop an E R D for an example business data modeling problem
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Guidelines for Analyzing Business Information Needs
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Data modeling involves the collection and analysis o f business requirements resulting in an E R D to represent the requirements Business requirements are rarely well structured Rather, as an analyst y o u will often face an ill-defined business situation in which you need to add structure You will need to interact with a variety o f stakeholders w h o sometimes provide competing statements about the database requirements In collecting the require ments, you will conduct interviews, review documents and system documentation, and examine existing data To determine the scope o f the database, you will need to eliminate irrelevant details and add missing details On large projects, y o u may work on a subset o f the requirements and then collaborate with a team o f designers to determine the complete data model These challenges make data modeling a stimulating and rewarding intellectual activity A data model provides an essential element to standardize organizational vocabulary, enforce business rules, and ensure adequate data quality Many users will experience the results o f your efforts as they use a database on a daily basis Because electronic data has b e c o m e a vital corporate resource, your data modeling efforts can make a significant contribution to an organization's future success A textbook cannot provide the experience o f designing real databases The more diffi cult chapter problems and associated case studies on the course Web site can provide insights into the difficulties o f designing real databases but will not provide you with practice with the actual experience To acquire this experience, y o u must interact with organizations through class projects, internships, and j o b experience Thus, this chapter emphasizes the more limited goal o f analyzing narrative problems as a step to developing data modeling skills for real business situations Analyzing narrative problems will help y o u gain confidence in translating a problem statement into an E R D and identifying ambiguous and incomplete parts o f problem statements
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goals of narrative problem analysis strive for a simple design that is consistent with the narrative Be prepared to follow up with additional require ments collection and consideration of alterna tive designs
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The main goal w h e n analyzing narrative problem statements is to create an E R D that is consistent with the narrative The E R D should not contradict the implied E R D elements in the problem narrative For example, if the problem statement indicates that concepts are re lated by words indicating more than one, the E R D should have a cardinality o f many to match that part o f the problem statement The remainder o f this section and Section 632 provide more details about achieving a consistent ERD In addition to the goal o f consistency, y o u should have a bias toward simpler rather than more complex designs For example, an E R D with one entity type is less c o m p l e x than an entity type with two entity types and a relationship In general, when a choice exists be tween two E R D s , y o u should choose the simpler design especially in the initial stages o f the design process A s the design process progresses, y o u can add details and refinements
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