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Using Business Intelligence for Operational Decision-Making in Call Centers

Using Business Intelligence for Operational Decision-Making in Call Centers

Eric Kyper, Michael Douglas, Roger Blake
Copyright: © 2012 |Volume: 4 |Issue: 1 |Pages: 12
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781466611511|DOI: 10.4018/jdsst.2012010104
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MLA

Kyper, Eric, et al. "Using Business Intelligence for Operational Decision-Making in Call Centers." IJDSST vol.4, no.1 2012: pp.43-54. http://doi.org/10.4018/jdsst.2012010104

APA

Kyper, E., Douglas, M., & Blake, R. (2012). Using Business Intelligence for Operational Decision-Making in Call Centers. International Journal of Decision Support System Technology (IJDSST), 4(1), 43-54. http://doi.org/10.4018/jdsst.2012010104

Chicago

Kyper, Eric, Michael Douglas, and Roger Blake. "Using Business Intelligence for Operational Decision-Making in Call Centers," International Journal of Decision Support System Technology (IJDSST) 4, no.1: 43-54. http://doi.org/10.4018/jdsst.2012010104

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Abstract

This paper proposes an operational business intelligence system for call centers. Using data collected from a large U.S. insurance company, the authors demonstrate a decision tree based solution to help the company achieve excellence through improved service levels. The initial results from this study provide insight into the factors affecting this firm’s call center service levels, and the solution developed in this paper provides two distinct advantages to managers. First, it enables them to identify key factors and the role they play in determining service levels. Second, a sliding window approach is proposed which allows managers to see the effects of resource reallocation on service levels on an on-going basis.

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