Decision Modeling: how to place data at the center of your organization’s decisions
Norman Daoust, Daoust Associates
The Decision Model is a simple set of visual models and accompanying text used for modeling decisions. Data modelers will find it analogous to a data model. It is perfect for documenting decisions of any size, from the very simple (e.g., evaluate speaker proposal) to the extremely complex (e.g., determine credit rating). It is an excellent technique to assist business stakeholders in expressing and understanding and documenting their criteria for making decisions. In doing so, it places your data at the center of your organization’s decision making processes.
Attendees will learn: why your business stakeholders and software designers and testers will love this technique, how this technique can assist your business intelligence (BI) and analytical projects, how this simple technique can be used to model decisions of all complexities in a simple and consistent manner, how this technique places your data at the center of your organization’s decision making processes.
Norman Daoust founded his consulting company Daoust Associates, www.DaoustAssociates.com in 2001. He is not just a data architect and data modeler: he also enjoys decision modeling, process modeling, and UML state machine modeling. His clients have included the Centers for Disease Control and Prevention (CDC), the Veteran’s Health Administration, the Canadian Institute for Health Information, several healthcare provider organizations, a Fortune 500 software company, and several start-ups. He has been an active contributor to the healthcare industry standard data model, the Health Level Seven (HL7) Reference Information Model (RIM) since its inception. Norman’s book, “UML Requirements Modeling for Business Analysts” explains how to adapt the Unified Modeling Language (UML) for analysis purposes. Norman is an engaging speaker who enjoys making complex topics easy and enjoyable.