%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 }