Insight-Driven Business Rules for Operational Knowledge
R. Kaula. International Journal of Database Management Systems (IJDMS), 16 (6):
1-18(December 2024)
Abstract
Business process intelligence improves operational efficiency that is essential for achieving business objectives, besides facilitating competitive advantage. As organizations operate through inter-connected business processes, insights into their process performance through related business rules are essential to achieve business objectives. This paper outlines an approach for developing insight-driven business rules using the concept of buckets, which can lead to the development of a repository of business knowledge for business process operations. The proposed concepts are demonstrated through a prototype modeled on a hypothetical customer mortgage lending process, implemented using Oracle’s PL/SQL database language.
Description
IngentaConnect Mode 2 society and the emergence of context-sensitive science
%0 Journal Article
%1 Gibbons:1June2000:0302-3427:159
%A Kaula, Rajeev
%D 2024
%J International Journal of Database Management Systems (IJDMS)
%K unsupervised
%N 6
%P 1-18
%T Insight-Driven Business Rules for Operational Knowledge
%U https://aircconline.com/abstract/ijdms/v16n6/16624ijdms01.html
%V 16
%X Business process intelligence improves operational efficiency that is essential for achieving business objectives, besides facilitating competitive advantage. As organizations operate through inter-connected business processes, insights into their process performance through related business rules are essential to achieve business objectives. This paper outlines an approach for developing insight-driven business rules using the concept of buckets, which can lead to the development of a repository of business knowledge for business process operations. The proposed concepts are demonstrated through a prototype modeled on a hypothetical customer mortgage lending process, implemented using Oracle’s PL/SQL database language.
@article{Gibbons:1June2000:0302-3427:159,
abstract = {Business process intelligence improves operational efficiency that is essential for achieving business objectives, besides facilitating competitive advantage. As organizations operate through inter-connected business processes, insights into their process performance through related business rules are essential to achieve business objectives. This paper outlines an approach for developing insight-driven business rules using the concept of buckets, which can lead to the development of a repository of business knowledge for business process operations. The proposed concepts are demonstrated through a prototype modeled on a hypothetical customer mortgage lending process, implemented using Oracle’s PL/SQL database language.
},
added-at = {2025-01-08T01:59:27.000+0100},
author = {Kaula, Rajeev},
biburl = {https://www.bibsonomy.org/bibtex/2d16ad4c868929641a99bdefc981e8da7/jonasleo123},
description = {IngentaConnect Mode 2 society and the emergence of context-sensitive science},
interhash = {9a630a55ac392aaa7967e13606705109},
intrahash = {d16ad4c868929641a99bdefc981e8da7},
journal = {International Journal of Database Management Systems (IJDMS)},
keywords = {unsupervised},
language = {english},
month = {12},
number = 6,
pages = {1-18},
subjectarea = {data mining},
timestamp = {2025-01-08T01:59:27.000+0100},
title = {Insight-Driven Business Rules for Operational Knowledge
},
url = {https://aircconline.com/abstract/ijdms/v16n6/16624ijdms01.html},
volume = 16,
year = 2024
}