Document Type
Article
Keywords
artificial intelligence; analytics; sales; sales process; teaching innovation
Identifier Data
http://dx.doi.org/10.22158/grhe.v3n1p54
Publisher
Scholink Inc.
Publication Source
Global Research in Higher Education
Rights Management
CC 4.0 CC-BY
Abstract
The following learning protocol provides an opportunity for professors to help students apply artificial intelligence and analytics in a pipeline management exercise. The activity allows advanced sales students to build a predictive sales model in Salesforce.com’s Einstein Analytics Platform. The following innovation walks the educator through the process of accessing the platform, building a model and analyzing outcomes. The exercise provides the opportunity to improve outcomes and act on sales opportunities, simulating the work environment. The article provides teaching tips for success to help professors stay current in the digital age and prepare students for early career success.
