Insight-Driven Business Rules for Operational Knowledge

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.

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Publication Details

Journal
International Journal of Database Management Systems
Published
2024-12-28
DOI
https://doi.org/10.5121/ijdms.2024.16601
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Insight-Driven Business Rules for Operational Knowledge

Rajeev Kaula
International Journal of Database Management Systems
Semantic Web and Ontologies
article

Insight-Driven Business Rules for Operational Knowledge

Rajeev Kaula
article en

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.

International Journal of Database Management SystemsVol. 16(6)
Openalex Percentile: Top 76%
Semantic Web and Ontologies
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