Relating Structured Content and Data Modeling to KM: Guest Norman Daoust

Thursday, August 15, 2013, 4 - 6 p.m., Bentley University, Morison Hall, Morison Boardroom #300, 175 Forest Street, Waltham, MA 02451. Campus Map.

SPEAKER: Norman Daoust, Principal Consultant, Daoust Associates

TOPIC:  Leveraging knowledge entails bringing relevant information, knowledge content assets and expertise into view for workers across all aspects of enterprise activities. In order to establish content domains containing both structured and unstructured information it is necessary to inventory and define the structures that are already present. Identifying vocabulary patterns, metadata, document types, and codifying content according to target use must be understood before initiating any knowledge initiative. IT workers who implement electronic systems for content storage and retrieval must be clear on the scope and definitions of target assets and how they will be retrieved. Preparing models of what information is present and establishing how structured content should be modeled are high value contributions to getting a handle on working knowledge. We’ll interview Norman about his work, how he approaches new engagements and talk with him about the intersection of data and knowledge initiatives.

BIOGRAPHY: Electronic data exchange, data modeling and UML (Unified Modeling Language) are all areas of expertise for Norman Daoust who has spent most of his career working with standards, improving software process requirements, and interoperability of healthcare systems. Besides consulting and training in this area, Norman is a trainer for the Business Analysis curriculum for the Corporate Education Group. Prior to forming his consulting practice, Norman worked for Partners Healthcare Systems, the Dana-Farber Cancer Institute, Siemens (medical systems), Bradford International, and the State of Massachusetts. You can read more about his background, work engagements and activities with professional associations including the Data Management Association International (DAMA) at and at LinkedIn.

Added readings:

Bernard, Allen. Healthcare Industry Sees Big Data As More Than a Bandage. CIO. 08/12/2013 3p.

Daoust, Norman. UML Requirements Modeling for Business Analysts;  Steps to Modeling Success. Technics Publications, 2012 ISBN: 9781935504245. 252p.

SAS. Practical Fundamentals for Master Data Management. IDG 2013. 14p.

TechRepublic. Taming the Data Beast; Integrating systems and applications for a better business. 2012. 9p.

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