TY - GEN
T1 - A portfolio theoretic approach to administering advanced analytics
T2 - 44th Hawaii International Conference on System Sciences, HICSS-44 2010
AU - Balkan, Sule
AU - Goul, Kenneth
PY - 2011/3/28
Y1 - 2011/3/28
N2 - Current approaches to managing an organizations' portfolio of predictive analytical models are currently ad hoc and under-informed by theory. In time-sensitive campaigns, analytical models may be constructed, applied and maintained by departments or individuals working in isolation. This silo-based approach fails to take into account complex model inter-relationships, possible model correlation and covariance, and other types of interdependencies that can confound and limit the effectiveness of campaigns. In this paper, we view a suite of predictive analytical models from a portfolio theoretic-based vantage point, we state the nature of a multi-stage campaign management bottleneck effect in portfolio terms, and we establish cases where informing campaign managers about the state of portfolio under-performance can be expressed and tracked. For the most complex case, we develop a Cross-stage Dispersion Index (CDI) that can be used as a benchmark and tracked over time.
AB - Current approaches to managing an organizations' portfolio of predictive analytical models are currently ad hoc and under-informed by theory. In time-sensitive campaigns, analytical models may be constructed, applied and maintained by departments or individuals working in isolation. This silo-based approach fails to take into account complex model inter-relationships, possible model correlation and covariance, and other types of interdependencies that can confound and limit the effectiveness of campaigns. In this paper, we view a suite of predictive analytical models from a portfolio theoretic-based vantage point, we state the nature of a multi-stage campaign management bottleneck effect in portfolio terms, and we establish cases where informing campaign managers about the state of portfolio under-performance can be expressed and tracked. For the most complex case, we develop a Cross-stage Dispersion Index (CDI) that can be used as a benchmark and tracked over time.
UR - http://www.scopus.com/inward/record.url?scp=79952965473&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952965473&partnerID=8YFLogxK
U2 - 10.1109/HICSS.2011.22
DO - 10.1109/HICSS.2011.22
M3 - Conference contribution
AN - SCOPUS:79952965473
SN - 9780769542829
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
BT - Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010
Y2 - 4 January 2011 through 7 January 2011
ER -