Insight-Driven Business Rules for Operational Knowledge
R. Kaula. International Journal of Database Management Systems (IJDMS), (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.
%0 Journal Article
%1 avila2020analytic
%A Kaula, Rajeev
%D 2024
%E Kaula, Rajeev
%J International Journal of Database Management Systems (IJDMS)
%K analysis data
%T Insight-Driven Business Rules for Operational Knowledge
%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.
@article{avila2020analytic,
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.
},
added-at = {2026-07-08T09:31:43.000+0200},
author = {Kaula, Rajeev},
biburl = {https://www.bibsonomy.org/bibtex/2bb9c932263ae659770734f5415f0e2e7/jonasleo123},
editor = {Kaula, Rajeev},
interhash = {9a630a55ac392aaa7967e13606705109},
intrahash = {bb9c932263ae659770734f5415f0e2e7},
journal = {International Journal of Database Management Systems (IJDMS)},
keywords = {analysis data},
timestamp = {2026-07-08T09:31:43.000+0200},
title = {Insight-Driven Business Rules for Operational Knowledge},
volume = 16,
year = 2024
}