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.
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Even, A., Kolodner, Y., Varshavsky, R. (2010). Designing Business-Intelligence Tools with Value-Driven Recommendations. In: Winter, R., Zhao, J.L., Aier, S. (eds) Global Perspectives on Design Science Research. DESRIST 2010. Lecture Notes in Computer Science, vol 6105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13335-0_20
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DOI: https://doi.org/10.1007/978-3-642-13335-0_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13334-3
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