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== Data presentation architecture ==
{{unreferenced section|date=March 2022}}
[[File:Kencf0618FacebookNetwork.jpg|right|thumb|A data visualization from [[social media]]]]
▲Historically, the term ''data presentation architecture'' is attributed to Kelly Lautt:{{efn|The first formal, recorded, public usages of the term data presentation architecture were at the three formal Microsoft Office 2007 Launch events in Dec, Jan and Feb of 2007–08 in Edmonton, Calgary and Vancouver (Canada) in a presentation by Kelly Lautt describing a business intelligence system designed to improve service quality in a pulp and paper company. The term was further used and recorded in public usage on December 16, 2009 in a Microsoft Canada presentation on the value of merging Business Intelligence with corporate collaboration processes.}} "Data Presentation Architecture (DPA) is a rarely applied skill set critical for the success and value of [[Business intelligence|Business Intelligence]]. Data presentation architecture weds the science of numbers, data and statistics in [[information discovery|discovering valuable information]] from data and making it usable, relevant and actionable with the arts of data visualization, communications, [[organizational psychology]] and [[change management]] in order to provide business intelligence solutions with the data scope, delivery timing, format and visualizations that will most effectively support and drive operational, tactical and strategic behaviour toward understood business (or organizational) goals. DPA is neither an IT nor a business skill set but exists as a separate field of expertise. Often confused with data visualization, data presentation architecture is a much broader skill set that includes determining what data on what schedule and in what exact format is to be presented, not just the best way to present data that has already been chosen. Data visualization skills are one element of DPA."
=== Objectives ===
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