Topic
Business analytics
About: Business analytics is a research topic. Over the lifetime, 3593 publications have been published within this topic receiving 84601 citations. The topic is also known as: Business Analytics & business analytics.
Papers published on a yearly basis
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TL;DR: In this paper, it is assumed that good decisions are not consistently made in the telecommunications sector, resulting in profit maximization being compromised, and the question thus arises whether profitability will increase if consistent and good business decisions are made in an ordinary course of doing business.
Abstract: The telecommunication industry is characterized as being volatile due to the nature of fast-moving technological changes. It is necessary therefore to accept that ordinary everyday business decisions that are taken to solve problems or identify opportunities are knowledgeable, accurate and timeous. These informed decisions are necessary in the normal course of every day business activities to ensure that the industry continues to grow and deliver effective and efficient services in terms of its mandate. What is assumed in terms of this article is that good decisions are not consistently made in the telecommunications sector, resulting in profit maximization being compromised. The question thus arises whether profitability will increase if consistent and good decisions are made in the ordinary course of doing business. This research attempted to address the question posed above and, although both approaches are addressed, more emphasis is placed on the technical aspect than on the business processes.
20 citations
TL;DR: It is understood that stimulating the practice of data and information analysis in the organizational routine translates into a relevant managerial behavior, as this attitude leverages the knowledge development and understanding about how to manage unexpected risk events, enabling companies to assess their ability to react to disruptions, even in terms of operational failures.
20 citations
10 Dec 2010
TL;DR: This panel will present distinct viewpoints on what visual analytics is and its role in understanding complex information in a complex world and to provide a contextual perspective based on the panelists' years of experience and accumulated knowledge.
Abstract: In the 2005 publication “Illuminating the Path” visual analytics was defined as “the science of analytical reasoning facilitated by interactive visual interfaces.” A lot of work has been done in visual analytics over the intervening five years. While visual analytics started in the United States with a focus on security, it is now a worldwide research agenda with a broad range of application domains. This is evidenced by efforts like the European VisMaster program and the upcoming Visual Analytics and Knowledge Discovery (VAKD) workshop, just to name two. There are still questions concerning where and how visual analytics fits in the large body of research and applications represented by the VisWeek community. This panel will present distinct viewpoints on what visual analytics is and its role in understanding complex information in a complex world. The goal of this panel is to engender discussion from the audience on the emergence and continued advancement of visual analytics and its role relative to fields of related research. Four distinguished panelists will provide their perspective on visual analytics focusing on what it is, what it should be, and thoughts about a development path between these two states. The purpose of the presentations is not to give a critical review of the literature but rather to give a review on the field and to provide a contextual perspective based on the panelists' years of experience and accumulated knowledge. Each panelist will have at most 15 minutes to present their position in order to establish the context for the audience. The rest of the time will be open for questions. The panel organizer will oversee the panel and ensure there are numerous questions of the panelists. On August 6, 2010 this world lost Jim Thomas. His influence and impact on our community were clear and profound with conferences, funding programs, research groups, consortia, government agencies, and industry. Through his intellect, energy, and passion Jim was able to create an international movement and shape a new discipline — visual analytics. This discussion on the future of visual analytics is dedicated to Jim and his work. Jim will be greatly missed but his influence and passion will always be felt.
20 citations
TL;DR: This chapter aims to establish a data-driven perspective on terminal planning and management, complementing the traditional optimization perspective and provides a comprehensive overview on applications in container terminals and related research.
Abstract: With the new opportunities emerging from the current wave of digitalization, terminal planning and management need to be revisited by taking a data-driven perspective. Business analytics, as a practice of extracting insights from operational data, assists in reducing uncertainties using predictions and helps to identify and understand causes of inefficiencies, disruptions, and anomalies in intra- and inter-organizational terminal operations. Despite the growing complexity of data within and around container terminals, a lack of data-driven approaches in the context of container terminals can be identified. In this chapter, the concept of business analytics for supporting terminal planning and management is introduced. The chapter specifically focuses on data mining approaches and provides a comprehensive overview on applications in container terminals and related research. As such, we aim to establish a data-driven perspective on terminal planning and management, complementing the traditional optimization perspective.
20 citations