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DESCRIPTION:Click for Latest Location Information: http://edw2014.dataversity.net/sessionPop.cfm?confid=79&proposalid=6109\nLarge IT projects, such as data warehouse implementations and data migrations, can have numerous potential negative consequences.  \nSome of these include: \n Overrun budgets \n Late deliveries \n Missing functionality\n Poor security \n Inflexibility\nMany IT analysts believe that a major driving factor for all of these risk factors is complexity and that the failure to manage complexity is the single biggest reason that IT systems so often fail.  Robert Glass popularized the observation that, when the functionality of an IT system increases by twenty-five percent, the complexity of that system doubles.\nHow can we manage complexity in our data projects?  We first have to define complexity, recognize it when it occurs, devise methods to address it (Agile methods are among them), and then implement them.  \nWe’ll look at why failure is an option, and sometimes a good one!
DTSTART:20140501T093000
SUMMARY:Complexity as a Risk Factor in Data Projects
DTEND:20140501T101459
LOCATION: See Description
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