A Framework for Optimising Business Rules

被引：1

作者：

Dormer, Alan ^{[1
]}

机构：

[1] Monash Univ, Dept Informat Technol, Clayton, Vic, Australia

来源：

BUSINESS INFORMATION SYSTEMS WORKSHOPS, BIS 2017 | 2017年 / 303卷

关键词：

Business intelligence; Business rules; Analytics; Optimisation; Decision support; Services; Productivity;

D O I：

10.1007/978-3-319-69023-0_1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

There has been significant growth in the number of business intelligence platforms that support and execute business rules since the late 1990s that shows no signs of abating. This paper examines the question of how to optimize business rules that can support rather than replace the human decision maker. It presents a novel framework to combine data (including decisions and actual outcomes), a business rules engine and the human judge. Preliminary results, on real data, suggest that about 80% of cases could be determined by a rules engine with an overall increase in gross profit of about 2%.

引用

页码：5 / 17

页数：13

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