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Enterprise Data Analysis and Visualization: An Interview Study Sean Kandel, Andreas Paepcke, Joseph M. Hellerstein, and Jeffrey Heer Abstract—Organizations rely on data analysts to model customer engagement, streamline
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Document Date: 2012-10-23 14:44:42


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Santos / San Fran / New York / Northern California / C. T / San Jose / /

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Skype / Teradata / Russell / Google / Re s A / MySQL / Salesforce / SPSS / IDC / Microsoft / /

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United States / /

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Facility

Stanford University / /

IndustryTerm

server-side pre-processing / desired intermediate product / visualization tools / visual analytic tools / data processing scripts / search capabilities / online advertising / credit card processing / interactive visualizations as reporting tools / retail / exploratory analytics tools / online aggregation / online data cleaning / low-latency query processing / data mining / analytic tools / data processing languages / data processing operations / data mining routines / healthcare / finance / online job postings / visual analysis tools / party services / personal and professional networks / visualization systems / data processing engines / exploratory tools / social networking / potential tools / Analysis software tools / intermediate data product / telecommunications / analytic tool / data processing language / web / information technology / intermediate products / intermediate data products / tools / tool / exploratory visualization tools / media / data processing framework / external services / real-time systems / large retail / difficulties evaluating visualization tools / /

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Person

Andreas Paepcke / Jeffrey Heer / Joseph M. Hellerstein / K. Ganjam / V / Sean Kandel / /

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PublishedMedium

Journal of the American Statistical Association / /

Region

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Stanford University / /

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