Paper Info
Title
Designing A Prototype For Analytical Model Selection And Execution To Support Self-Service Bi
Abstract
This paper presents a prototype of a modeling tool specifically designed for business analysts with little modeling experience. The proposed tool has an interactive user interface for a dimensional data store that contains a library of analytical models that business analysts can evaluate and use to create models they can run on their own data sets. Using a design science approach, we review the relevant literature in self-efficacy and feedforward to provide a kernel theory that informs the design criteria met by our proof of concept prototype. Specifically, we demonstrate the prototype's user interface with a prediction problem faced by the United States Department of Labor.
Year
Venue
Keywords
2017
AMCIS 2017 PROCEEDINGS
Design Science, Self-Service BI, Model Building, Feedforward
Field
DocType
Citations 
Data set,Computer science,Model building,Proof of concept,Artificial intelligence,Management science,Self-service,Software engineering,Model selection,Design science,User interface,Machine learning,Feed forward
Conference
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Gregory Schymik1175.43
Karen Corral2818.04
David Schuff373439.47
Robert D. St. Louis412014.88