Designing business-intelligence tools with value-driven recommendations

Authors:
Adir Even;Yoav Kolodner;Roy Varshavsky
Affiliations:
Dept of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel;Dept of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel;Israel Innovation Labs, Microsoft Israel R&D Center, Israel
Venue:
DESRIST'10 Proceedings of the 5th international conference on Global Perspectives on Design Science Research
Year:
2010

Citing 16
Cited 0

Modeling Information Manufacturing Systems to Determine Information Product Quality

Management Science
Performance Impacts of Information Technology: Is Actual Usage the Missing Link?

Management Science
Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions

IEEE Transactions on Knowledge and Data Engineering
Learning Users' Interests by Quality Classification in Market-Based Recommender Systems

IEEE Transactions on Knowledge and Data Engineering
The metadata enigma

Communications of the ACM - Next-generation cyber forensics
Personalized recommendation driven by information flow

SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Integrated decision support systems: A data warehousing perspective

Decision Support Systems
Reconceptualizing System Usage: An Approach and Empirical Test

Information Systems Research
Economics-Driven Data Management: An Application to the Design of Tabular Data Sets

IEEE Transactions on Knowledge and Data Engineering
New Recommendation Techniques for Multicriteria Rating Systems

IEEE Intelligent Systems
Continental Airlines Continues to Soar with Business Intelligence

Information Systems Management
Personalized ranking for digital libraries based on log analysis

Proceedings of the 10th ACM workshop on Web information and data management
Design and natural science research on information technology

Decision Support Systems
An empirical investigation of the factors affecting data warehousing success

MIS Quarterly
Design science in information systems research

MIS Quarterly
A systematic approach toward assessing the value of an information system

MIS Quarterly

Quantified Score

Hi-index	0.00

Visualization

Abstract

Business-intelligence (BI) tools are broadly adopted today, supporting activities such as data analysis, decision making, and performance measurement This study investigates a new approach for designing BI tools – the integration of feedback and recommendation mechanisms (FRM), defined as embedded visual cues that provide the end-user with usage and navigation guidelines The study focuses on FRM that are based on assessment of previous usage, and introduce the concept of value-driven usage metadata - a novel methodology for linking the use of data resources to the value gained A laboratory experiment, which tested the design of FR-enhanced BI with 200 participants, confirmed that FRM integration will improve the usability of BI tools and increase the benefits that can be gained from using data resources Further, the experiment highlighted the potential benefits of collecting value-driven usage metadata and using it for generating usage recommendations.