Tuesday, March 31, 2015
01:15 PM - 02:00 PM
The Agile Development environment is a conceptual framework that focuses on frequently delivering small increments of working software. This presentation will focus on the successful development of a data architecture at the Center for Tobacco Products (CTP) in the FDA while quickly redeveloping the system that supports the enforcement of regulations involving the sale and advertisement of tobacco products. Even though this effort supported only one of the major responsibilities of CTP, a major portion of the involved data was needed across the rest of the organization. The Natural Language Modeling approach to understanding the data rules allowed the data architecture to be incrementally developed to support the entire organization and it eliminated a significant amount of rework as the agile modules were developed.
What you will learn:
- Precisely understanding business rules can incrementally grow your data architecture
- Data support for agile development is productive
- Data architecture provides a foundation for multiple agile projects
- Natural Language Modeling efficiently captures business rules from diverse subject matter experts
- Less rework on the data and agile development improves the collaborative environment
John Sharp is the founder and principal consultant for Sharp Informatics. Sharp Informatics relies on an innovative technology, Natural Language Modeling (NLM), to produce information models through the use of simple sentences that are evaluated directly by subject matter experts. John has provided data analysis and data architecture support for many government and private companies. He was recently the Data Architect for the National Institutes of Health.
Jack is the founder of Wise Design which provides data services to government agencies. Jack is currently the data architect for the Center for Tobacco Products in the FDA. Jack has previously been the CIO for the National Institutes of Health and has held a wide range of information technology positions in government and private organizations.