• No public training course is scheduled at this time.
• Contact John [sharp@sharpinformatics.com] to be placed on the waiting list for the next course.

Natural Language Modeling (NLM) is a proven procedure developed over thirty-five years of research that combines logic and natural language to achieve superior information systems. NLM can change business analysis from an esoteric art into an engineering discipline with the precision of logic and the understandability of plain English.

The most critical factor in the failure of business information designs is the lack of precise specifications arising from a language barrier between data users on one side and IT specialists on the other. This lack of precise requirements jeopardizes implementation and allows false expectations for all involved. The class will be broken into two distinct sections that can be taken independently or together for a deeper immersion: Introduction to NLM provides an understanding of the logical rules that are necessary to transform any true sentence into precise information requirements. NLM Workshop provides hands-on experience with the NLM procedure by validating information models that are of interest to the workshop participants. One or more of the workshop attendees’ models will be validated.

The combination five-day course provides necessary skills for managers, project leaders, systems analysts and expert modelers to benefit from the NLM modeling procedure in their own organizations.

• To create information system designs so that they are right the first time, every time.
• To obtain cost savings through less rework during development and much less rework following implementation.
• To effectively communicate business requirements for systems using everyday English that produce precise specifications for use by IT professionals.
• To become skilled at translating the rules in graphical data models into natural language sentences.
• To make buiness experts accountable for the design that is implemented.
• To synchronize project expectations among business experts, IT professionals, and management.
• To establish data requirements via analyzing a list of data records.
• To use variables instead of semantic objects to create data models.

• To review data models produced by workshop attendees and understand the value of having an analysis procedure.
• To validate these graphical data models by applying the NLM procedure.
• To use the graphical tool that captures NLM analysis results.