BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20260511T021525Z DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi ty.net/sessionPop.cfm?confid=121&proposalid=9395\n

This presentation look s at the gap between raw data and decision-able information. Most of the ch atter about data quality focuses upon raw, granular data describing discret e events and entities inside the enterprise and around it. But for data war ehouses and decision-support, data must be converted into useful informatio n meaningful to the decision-maker. This presentation looks at numerous exa mples of raw data and derived data (“information”) which show u s trends, patterns, etc. Examples come from astronomy, military intelligenc e, and criminology. We will look at how incorrect conclusions may be drawn because of the mishandling of the process to derive “higher level&rdq uo; information from the raw data. In this presentation, you will learn:&nb sp;

\n\n The importance of knowing the quality of raw data \n The role of context for making data meaningful \n How to normalize to make information fair and truthful\n The role of human interpretation of aggregate or derived data\n Examples of multi-step interpretation processes\n\n DTSTART:20180425T083000 SUMMARY:Good Data, Bad Information - Why the Disconnect? DTEND:20180425T092959 LOCATION: See Description END:VEVENT END:VCALENDAR