Accenture Global Services Gmbh

Williams, Murray

Murray Williams

Miles Laurence Fender

Jeriad Zoghby

A device may receive configuration information for an experiment associated with optimizing an application. The configuration information may identify a group of experimental treatments and information identifying a target event. The device may identify an experimental treatment to be implemented in the application, and may implement the experimental treatment in the application. The device may collect response information based on implementing the experimental treatment. The device may detect the target event associated with the experiment, indicating that the response information is to be provided to an experiment server. The device may determine that the experiment server is unreachable and may store the response information. The response information may be stored to allow the response information to be provided to the experiment server at a later time. The response information may be provided to the experiment server to permit the experiment server to determine a result of the experiment.

Mobile application optimization platform

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described that enable clustering and evaluation of data. A data set is identified for which to evaluate cluster solutions, the data set including a plurality of records each including a plurality of attributes. Different attributes are identified, including target driver attributes, cluster candidate attributes, and profile attributes. One or more clustering algorithms are identified and applied to the data set to generate cluster solutions. Each cluster solution groups records in the data set into different clusters based on the cluster candidate attributes. A score is calculated for each cluster solution based at least on the target driver attributes, the cluster candidate attributes, and the profile attributes. A user interface is generated for presentation to a user showing the generated cluster solution organized according to the calculated score for each cluster solution.

Segmentation discovery, evaluation and implementation platform

An online behavior tracking system includes a unique ID module configured to determine attributes of a user device, and calculate a unique ID for a user from the attributes. The unique ID is used to track online behavior for the user across different domains. Also, the online behavior tracking system is used in a content evaluation system which delivers content treatments to users and tracks online behavior of the users in response to the delivered treatments.

Browser based user identification

A multivariate web page testing system includes a content retrieval module configured to receive a web page request from a visitor's browser and determine corresponding HTML content corresponding to the web page in the web page request. The multivariate web page testing system further includes a content determination module configured to determine if the corresponding HTML content conforms to a preset standard. An adapter is configured to convert the corresponding HTML content to conform to the preset standard if the corresponding HTML content does not conform to the preset standard. The multivariate web page testing system further includes an experimental treatment determination module configured to determine an experimental treatment for the corresponding HTML content and an experimental treatment application module configured to apply the treatment to the corresponding HTML content to create orthogonally transformed HTML content. The orthogonally transformed HTML content is operable to be transmitted to the visitor's browser.

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New York, NY, United States of America

Murray Williams