Nowadays, online comments and other textual data become more and more significant for business intelligence service. However, there is blank in the area of IS based on domestic platform at present. We designed and implemented OSBIA: an open source business intelligence analytics system based on domestic platform. OSBIA system concentrates on analyzing open source textual intelligence for the bu...

Unter dem Begriff Business Intelligence (BI) wird ein integrierter, IT-basierter Ansatz zur betrieblichen Entscheidungsunterstützung verstanden, der mit Hilfe von unterschiedlichen Konzepten und Technologien umgesetzt werden kann (Kemper, Mehanna, & Unger 2006). Ziel von Business Intelligence ist eine entscheidungsorientierte Sammlung und Aufbereitung von internen und externen Daten eines Unter...

Distance learning is more and more interesting to everyone. Learning Management Systems are capable to be the source of data for business intelligence software. Business Intelligence software integrated with Learning Management System can help to analyze the way student uses distance learning, what are the effects and how to improve its quality. This paper describes the design of Business Intel...

This paper provides an overview of big data technologies and best practices from the standpoint of business intelligence (BI) applications in the banking industry. The authors discussed current challenges in banking industry that could be addressed by using big data technologies. Based on their research, they provided a list of big data tools and technologies in terms of an ecosystem that are s...

Health care decision-makers are juggling multiple demands and environmental pressures in today’s world. One area of information systems practice that holds promise for addressing very salient issues in health care is the area of business intelligence. This review is structured to prepare a health-care decision maker with the knowledge and understanding necessary to support a successful Business...

This paper shows how technologies for Web data extraction, syndication and integration allow for new applications and services in the Business Intelligence and the Semantic Web domain. First, we demonstrate how knowledge about market developments and competitor activities on the market can be extracted dynamically and automatically from semi-structured information sources on the Web. Then, we s...

Business Intelligence systems tend more and more towards semantically rich functionalities. One of the main artefacts to create a semantic network is the ontology. There are many methods describing the procedure of creating ontology for information solutions. The article presents the approach to the conceptualisation of the financial knowledge for a Business Intelligence system. The content of ...

The aim of this paper is to discuss how individual, collective and structural sensemaking influences the use of Business Intelligence in decision-making. Building on previous research we explore three patterns of sensemaking, individual, collective and structural. From this examine the impact these patterns have on Business Intelligence. Specifically we found that existing patterns of sensemaki...

We present a literature review that identifies a gap in business intelligence knowledge regarding the fit between technology and the tasks solved using the technology. We propose a model that frames the fit between task characteristics and the use of business intelligence. The model represents task, system, and information quality as independent constructs with task compatibility as the depende...

This study addresses the use of predictive modeling techniques; primarily feed-forward artificial neural networks as a tool for forecasting geological exploration targets for gold prospecting. It also provides evidence of effectiveness of using Business Intelligence systems to model pathfinder variables, anomaly detection, and forecasting to locate potential exploration sites for precious metal...