Business Process Management Systems (BPMSs) are software platforms that support the definition, execution, and tracking of business processes. BPMSs have the ability of logging information about the business processes they support. Proper analysis of BPMS execution logs can yield important knowledge and help organizations improve the quality of their business processes and services to their bus...

Purpose – The purpose of this paper is to deliver an insight into the interaction effects of process-oriented management and business intelligence (BI). Design/methodology/approach – The paper takes up publications from the fields of BI and business process management and analyzes the state-of-the-art of process-centric business intelligence (PCBI). To highlight the potentials and limitations o...

In the 1980s, traditional Business Intelligence (BI) systems focused on the delivery of reports that describe the state of business activities in the past, such as for questions like “How did our sales perform during the last quarter?” A decade later, there was a shift to more interactive content that presented how the business was performing at the present time, answering questions like “How a...

mit der aktuellen Ausgabe des EMISA Forums erhalten Sie Folge 2 unserer neuen Kolumne zum Thema Business Process Management (BPM). Themen zur Modellierung und zum Management von Prozessen nehmen bei Veranstaltungen mit EMISA-Beteiligung traditionell eine wichtige Rolle ein. Mit der BPM-Kolumne tragen wir diesem Umstand Rechnung und berichten über aktuelle Themen, Projekte, Veranstaltungen und E...

Abstr act. Traditional business intelligence has focused on creating dimensional models and data warehouses, where after a high modeling and creation cost structurally similar queries are processed on a regular basis. So called "ad-hoc" queries aggregate data from one or several dimensional models, but fail to incorporate other external information that is not considered in the pre-defined data...

Business intelligence has fundamentally changed how companies conduct their business. In literature, the focus has been on volume-operation companies that provide services to millions of customers. In contrast, complexsystems companies have fewer customers and pursue customer needs by providing more customized products and services. This paper presents the results of a case study conducted at a...

Business Intelligence beschäftigt sich mit der IT-basierten Entscheidungsunterstützung und fokussiert heute zunehmend prozessorientierte, unternehmensumfassende bzw. unternehmensübergreifende Ansätze. Business Intelligence eröffnet somit neue Potentiale im Rahmen der Organisationssteuerung, konfrontiert die Wissenschaft und Praxis jedoch auch mit komplexen Herausforderungen bei der Konzeption, ...

There has been growing corporate interest in business intelligence (BI) as a path to reduced costs, improved service quality, and better decision-making processes. However, while BI has existed for years, it has difficulties reaching what specialists in the field consider its full potential. In this paper, the authors examine disparities in how the constructs of business intelligence are define...

A business intelligence conceptual model (BISCOM) is proposed as a process-focused design theory for developing, understanding, and evaluating business intelligence (BI) systems. Previous work has concentrated on subsets of the BI systems, use of BI tools, and specific business functional area requirements. BISCOM provides a unified and comprehensive design theory that integrates and synthesize...

The paper reviews and critiques current research on Business Intelligence (BI) in cloud. This review highlights that organizations face various challenges using BI cloud. The research objectives for this study are a conceptualization of the BI cloud issue, as well as an investigation of some benefits and risks from BI cloud. The study was based mainly on a critical analysis of literature and so...