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DESCRIPTION:Click for Latest Location Information: http://edw2015.dataversity.net/sessionPop.cfm?confid=87&proposalid=7114\nEarly data warehouses and marts used for business intelligence that targeted senior management reporting were called “decision support systems,” but what does it really mean to “support” a decision? More commonly these systems are used to facilitate decision-making in a broad array of scenarios, providing guidance for the decision before it is made and reinforcement of the process after the decision is made, all with the intent to help people make better decisions.\nUnderstanding what type of information is expected to make a particular decision is one step in considering the variables that are relevant for improving the process as well as ways that the right amount of information can streamline or optimize those variables. This talk introduces a simple model that abstracts some of the key facets of a decision-making scenario and can help highlight where potential gaps in knowledge can impede optimal decision-making. \nThe talk will then consider how “decision quality” can be assessed using a number of dimensions such as informedness, timeliness, completeness, and optimality of outcome. In turn, we describe how a model for a decision-making scenario encompasses at the very least these characteristic features:\nBusiness use case \nRelevant actors\nBusiness question to be answered\nInputs to the decision\nDecision points in the scenario\nChoices presented to the decision-maker\nDesired outcomes \nPerformance measures\nAttendees will learn about:\nDescribing desired outcomes of a decision\nIdentifying the decision points within a business process flow\nAssessing what types of decisions are properly informed\nHow actors can be guided to make optimal choices\nLeveraging information that will lead to better overall optimal performance
DTSTART:20150331T131500
SUMMARY:Using a Decision-Making Model to Improve Decision Quality
DTEND:20150331T135959
LOCATION: See Description
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