Abstract Details
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Activity Number:
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553
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 6, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Section for Statistical Programmers and Analysts
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Abstract #311793
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View Presentation
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Title:
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Designing, Developing, and Implementing Statistical Web Applications at P&G: Analyzing Data Better, Faster, and Cheaper!
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Author(s):
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Joel Chaney*+
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Companies:
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Procter & Gamble
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Keywords:
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application development ;
statistical programming ;
automation
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Abstract:
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Many interactive, web-based statistical analysis tools have been created by statistical programmers and statisticians at P&G. These tools are used company-wide for the routine analysis of data from a wide variety of sources. The business benefits of these tools include increased speed in obtaining analysis results, consistent analysis reporting across studies and optimal analyses developed (i.e., analyses that are simpler, faster, better and cheaper to obtain). Examples will be shared from consumer research, clinical research, image analysis and quality control. In order to create such tools, developers must have a strong background in statistics and statistical programming (e.g., R, SAS) as well as web application development skills (e.g., HTML, JavaScript, ASP/VBScript).
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Authors who are presenting talks have a * after their name.
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