Start Date
14-12-2012 12:00 AM
Description
We develop an integrated salesforce analytics application that combines enterprise data from human resources, compensation, and customer relationship management systems, produces predictive data-driven analytics insights to effectively manage organizations with many salespeople, and has an interactive visual interface that allows business users to explore the data and analytics at their own pace and under their control. Named SellerScope, this application addresses many shortcomings of existing salesforce management-related offerings, including the difficulty of use, the lack of interactivity, the lack of timeliness in information reaching stakeholders, and the limited combined analysis of disparate enterprise data. The various data and analytics solutions are described in the paper. The interface is shown through screenshots in the paper, and also in animated form in an accompanying video. The business innovations of the application and the ways in which the visual interface facilitates understanding and trust by the user are discussed.
Recommended Citation
Varshney, Kush R.; Rasmussen, Jamie C.; Mojsilović, Aleksandra; Singh, Moninder; and DiMicco, Joan M., "Interactive Visual Salesforce Analytics" (2012). ICIS 2012 Proceedings. 1.
https://aisel.aisnet.org/icis2012/proceedings/VisualMedia/1
Interactive Visual Salesforce Analytics
We develop an integrated salesforce analytics application that combines enterprise data from human resources, compensation, and customer relationship management systems, produces predictive data-driven analytics insights to effectively manage organizations with many salespeople, and has an interactive visual interface that allows business users to explore the data and analytics at their own pace and under their control. Named SellerScope, this application addresses many shortcomings of existing salesforce management-related offerings, including the difficulty of use, the lack of interactivity, the lack of timeliness in information reaching stakeholders, and the limited combined analysis of disparate enterprise data. The various data and analytics solutions are described in the paper. The interface is shown through screenshots in the paper, and also in animated form in an accompanying video. The business innovations of the application and the ways in which the visual interface facilitates understanding and trust by the user are discussed.