9:00 am – 10:00 am | Presentation | Room: Oceana 6
Entities, Objects, & Classes Oh My — A BA's Definitive Guide to Modeling Business Data Requirements
Data modeling is becoming a necessary skill for today’s business analysts due to the fact it is an information driven world and many projects have a significant data requirements component. Data modeling is an analysis technique used by business analysts in order to understand (model) the business data environment, which will be used to define the design data models which are the basis for the actual database.
In this presentation participants learn various data modeling tools and techniques using both Information Engineering tools (ERDs) as well as UML tools (class diagram). The advantages and disadvantages of each will be discussed as well as appropriate uses. Finally, participants will be guided by way of a hands-on case study where they will perform entity/class analysis, noun analysis using use cases and user stories, and data diagram construction.
- Ability to construct data models
- Ability to perform entity/class analysis
- Understand data modeling concepts
Kevin C. Dittman is an Associate Professor of Computer Information Systems and Technology at Purdue University. He is also the co-director of the department's professional MS degree programs in project management and business analysis. Professor Dittman specializes in information systems business analysis, requirements engineering, quality management and project management. He has co-authored leading textbooks on systems analysis and design, and project management, plus he has published several other scholarly papers and journal articles. Professor Dittman has over thirty one years of industrial and consulting experience in the information technology arena with top corporations such as Cook Medical Corporation, Walt Disney Corporation, Lockheed Martin, Caterpillar, and Cummins Engine.
Kevin's 2017 Presentations:
- Entities, Objects, & Classes Oh My — A BA's Definitive Guide to Modeling Business Data Requirements
Friday, November 10, 2017 (9:00 am – 10:00 am)