Authors: A.D.N. Sarma
Addresses: Centre for Good Governance, Gachibowli, Hyderabad – 500 032, Telangana, India
Abstract: Business intelligence (BI) is a broad category of business information system that plays a vital role in decision making. Traditional BI systems are designed to support for decision making to strategic users. The components in the traditional BI system are limited analytical functionality and lack of monitoring of business performance, alert engine, self-service reports, operational analytics and decision models capabilities. Further, the need and usage of BI systems for operational decision making have significantly increased for a timely decision to all users in the organisations. Operational BI is not a merely a combination of operational and BI systems, but they constitute the whole complex components that cover overall functionalities from storage, process, monitor, visualise and delivering information to form an ecosystem. In this paper, the key components of an operational BI ecosystem are presented, and their workings explained. The methodology adopted for key component identification is based on modularity using cohesion and coupling parameters of software engineering. The proposed key components of the system are operational analytics, event notification monitoring, business performance management, operational reports and the portal. An orderly arrangement of these key components constitutes an operational BI ecosystem.
Keywords: action time; alert engine; BI software components; business performance management; cohesion and coupling; ecosystem; event notification and monitoring; operational BI; operational analytics; operational intelligence; operational reporting.
International Journal of Business Intelligence and Data Mining, 2021 Vol.19 No.3, pp.343 - 370
Received: 23 Jan 2019
Accepted: 02 Oct 2019
Published online: 29 Sep 2021 *