Learn the skills and knowledge to apply proven techniques in creating a data model
This data modeling learning program gives you the essential skills and knowledge for describing data needs of any business process or area. You will acquire the knowledge necessary to work with the products and documentation created to define the processing requirements and apply the skills to define the data needs of the selected business process. The performance measurement of the class content and group exercises is for you to reach the level of proficiency needed to apply your new knowledge and skills in building a data model.

The learning environment
Individual participant activities will reinforce the application of individual techniques, and group activities are designed to apply a number of techniques for creating specific work products based on a given business scenario. The design of the group activities are aimed at providing the participants the opportunity to evaluate and work with realistic and relevant business scenarios, simulating the pressures and factors usually found in a real business. In addition to learning the application of the individual techniques, the group activities are designed to gain the basic knowledge necessary for successful application of the techniques. As part of the learning process, the participants will be asked to share their answers and the assumptions made in reaching their conclusions. The review of the group activities will be led by facilitators experienced in modeling and analyzing a business.

Achieve the efficiency that comes with effective data modeling...

• Creating a logical model of the data provides the essential definition of the data requirements of the business separate from storage techniques and access methods.
  
• Keeping track of the data model definitions and information on the life cycle of its components and when and how the data is used makes integration across applications easier. A data model is instrumental in establishing rules for managing the business data.
  
• A data model is an essential tool in keeping track of the uses of the data, who, when, where and for what purpose, and thus ensure that the data is not duplicated.
• Building a data model requires understanding of the processes, rules, plans and policies of a business. A data model is a picture of the business and a tool for analyzing changes in policy and for communicating business plans.
  

14 Immediate Benefits of Participating in this Workshop

1. Apply the concept of logical data modeling to define your essential data requirements for the business, independent of design considerations.
   
2. Gain the knowledge of applying sound basic process management principles in the analysis and design of a business process and its data requirements.
   
3. Apply sound and proven techniques in building a data model.
   
4. Learn to integrate process and data modeling efforts — provide a consistent, effective method of analyzing and addressing business information needs.
   
5. Gain the knowledge and level of skills needed to work the information provided by modeling the business processes and apply it as the basic framework for describing the data needs.
   
6. Apply the information gathered in the fact-gathering process for identifying and documenting the components of a data model.
   
7. Learn the basic steps and approach for building a logical data model.
   
8. Apply sound practices for describing and naming entities, attributes, and relationships, and their value in confirming the business needs for data.
   
9. Apply the required techniques to map process and data models to ensure a consistent view of the business processing needs.
   
10. Gain the knowledge to provide the basis for a sound corporate data management program.
    
11. Acquire the level of competency needed to apply the data modeling techniques and methods required to support the effort to re-engineer business processes.
    
12. Apply the knowledge and skills to define the need for information and define the raw data required to support the generation of the needed information.
    
13. Gain an understanding of the value of the data model in partitioning the business process or business area.
    
14. Acquire the level of competency needed to use the data model as an effective way to communicate with business owners and stakeholders ferreting out requirements and obtaining consensus.