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. Te 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.

[1]  James J. Thomas,et al.  Defining Insight for Visual Analytics , 2009, IEEE Computer Graphics and Applications.

[2]  R. Oliver,et al.  Perspectives on Behavior-Based versus Outcome-Based Salesforce Control Systems , 1987 .

[3]  Xin Li,et al.  Predicting user trust in information systems: a comparison of competing trust models , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[4]  Andris A. Zoltners,et al.  Sales Territory Alignment: An Overlooked Productivity Tool , 2000 .

[5]  Sophie Ahrens,et al.  Recommender Systems , 2012 .

[6]  Sönke Albers,et al.  Prioritizing Sales Force Decision Areas for Productivity Improvements using a Core Sales Response Function , 2008 .

[7]  Bonnie M. Muir,et al.  Trust Between Humans and Machines, and the Design of Decision Aids , 1987, Int. J. Man Mach. Stud..

[8]  Kush R. Varshney,et al.  Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

[9]  Eser Kandogan,et al.  OpinionBlocks : Visualizing Consumer Reviews , 2011 .

[10]  John W. Boudreau,et al.  Voluntary turnover and job performance: Curvilinearity and the moderating influences of salary growth and promotions. , 1997 .

[11]  Mark S. Squillante,et al.  Sales-force performance analytics and optimization , 2012, IBM J. Res. Dev..

[12]  Richard T. Herschel,et al.  Knowledge management and business intelligence: the importance of integration , 2005, J. Knowl. Manag..

[13]  John Riedl,et al.  Recommender systems in e-commerce , 1999, EC '99.

[14]  John P. Hausknecht,et al.  Targeted employee retention: Performance-based and job-related differences in reported reasons for staying , 2009 .

[15]  Jeffrey Heer,et al.  Animated Transitions in Statistical Data Graphics , 2007, IEEE Transactions on Visualization and Computer Graphics.

[16]  Barry J. Trailer,et al.  Understanding what your sales manager is up against. , 2006, Harvard business review.

[17]  Mark S. Squillante,et al.  The Growth and Performance Diagnostics Initiative: A Multi-Dimensional Framework for Sales Performance Analysis and Management , 2011 .

[18]  Jagmohan S. Raju,et al.  Quota-Based Compensation Plans for Multiterritory Heterogeneous Salesforces , 1996 .

[19]  Paul Resnick,et al.  Recommender systems , 1997, CACM.

[20]  Lorin M. Hitt,et al.  Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance? , 2011, ICIS 2011.

[21]  Jeffrey Heer,et al.  Interpretation and trust: designing model-driven visualizations for text analysis , 2012, CHI.

[22]  Kush R. Varshney,et al.  Business Analytics Based on Financial Time Series , 2011, IEEE Signal Processing Magazine.

[23]  Benjamin B. Bederson,et al.  Toolkit design for interactive structured graphics , 2004, IEEE Transactions on Software Engineering.

[24]  J. R. Quinlan,et al.  Data Mining Tools See5 and C5.0 , 2004 .

[25]  Surajit Chaudhuri,et al.  An overview of business intelligence technology , 2011, Commun. ACM.

[26]  Michael O'Malley The Wisdom of Bees: What the Hive Can Teach Business about Leadership, Efficiency, and Growth , 2010 .

[27]  Radford M. Neal Pattern Recognition and Machine Learning , 2007, Technometrics.

[28]  I. Yeoman Competing on analytics: The new science of winning , 2009 .

[29]  Sholom M. Weiss,et al.  Analytics-driven solutions for customer targeting and sales-force allocation , 2007, IBM Syst. J..