Title :
A recommender system for metrics
Author :
Tomaz, Luiz F c ; Nt, José A Rodrigues ; Souza, Jano M. ; Xexéo, Geraldo B.
Author_Institution :
Grad. Sch. of Eng., Univ. Fed. do Rio de Janeiro, Rio de Janeiro, Brazil
Abstract :
Over the past 5 decades society has been increasingly requiring immediate results, and this is reflected in business. Due to this, the attention given to strategy, strategy management and strategy planning has increased. The use of the Balanced Scorecard (BSC) is a way of achieving this strategic capability. Moreover, a proper BSC has effective metrics to track its goals. This work proposes a system that recommends metrics in accordance with the goals of a BSC. The recommendation is made using data mining techniques, in particular association rules.
Keywords :
business data processing; data mining; recommender systems; strategic planning; BSC; association rules; balanced scorecard; business; data mining techniques; metrics; recommender system; strategy management; strategy planning; Collaboration; Organizations; association rule; balanced scorecard; recommender systems;
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-1211-0
DOI :
10.1109/CSCWD.2012.6221841
