Developing a Logical Data Model:
Business Systems Analysis Consulting Services
An organization’s business vocabulary (its terms and concepts) and the business rules that define these terms and concepts comprise an organization’s data-oriented business rules.
Data-oriented rules provide a stable foundation for analyzing business processes, business systems requirements, and business intelligence requirements. A logical data model (entity-relationship diagram) is a visual representation of data-oriented business rules.
In many organizations, data-oriented business rules live as ambiguous institutional knowledge, informally, largely in the minds of the people doing the essential day-to-day work of the organization, and rarely subject to critical analysis.
Ambiguous and incomplete data-oriented requirements result in costly, rigid, maintenance-intensive information systems that lack the agility to support a rapidly changing business environment. Based on decades of experience, Inteq has uncovered and refined the foundational patterns of data-oriented business rules.
Developing a logical data model is accomplished in weeks rather than months!
Working with your team, we provide our deep analysis experience and expertise, including best practice tools, techniques, and methods, to facilitate high-intensity, short-duration, sprints that utilize these patterns to rapidly discover, critically analyze and precisely specify, data-oriented business rules via entity-relationship (ER) diagrams.
Deliverables include:
Developing a logical data model and analyzing data oriented business rules typically includes a balanced mix of Subject Matter Experts (SMEs), business data analysts, business analysts, business systems analysts, developers (associated with the in-scope business systems), supervisors and managers and other stakeholders with knowledge of the business space.
Training Course: Logical Data Modeling
Training Course: Advanced Data Modeling
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Our professionals are seasoned, hands-on practitioners with substantial business and industry expertise.
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