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.

Improving the use of analytics and big data by changing the decision-making culture: A design approach

Abstract: Evolving digital technologies continue to enable new ways to collect and analyze data and this has led some researchers to claim that skillful use of data analytics and big data can radically improve a company’s performance, but that in order to achieve such improvements managers need to change their decision-making culture and to increase the degree of collaboration in the decision-making process. The purpose of this paper is to create an increased understanding of how a decision-making culture can be changed by using a design approach.,The paper presents an action research project in which the authors use a design approach.,By adopting a design approach organizations can change their decision-making culture, increase the degree of collaboration and also reduce the influence of power and politics on their decision-making.,This paper proposes a new approach to changing a decision-making culture.,Using data analytics and big data, a design approach can support organizations change their decision-making culture resulting in better and more effective decisions.,This paper bridges design and decision-making theory in a novel approach to an old problem.

The Next Stage of Operational Business Intelligence: Creating New Challenges for Business Process Management

Abstract: Current practices in the area of business intelligence (BI) and business performance management (BPerM) confirm the need for better integration of BI and business processes (BPs). This is especially the case with operational BI that aims to unify strategic and tactical decision making, by integrating BI solutions with organisation's constantly evolving BPs. However, operational BI has a very limited view of BP and business process management (BProM) systems. In essence, it focuses on a limited number of core, transactional BPs that are, by definition, highly structured and repetitive. This paper argues that in order to support customer-facing employees in service-oriented industries, it is necessary to consider knowledge intensive BPs and their possible integration with operational BI. This paper offers a critical analysis of case-handling BPs in the context of operational BI. It then identifies a number of research challenges related to a new type of case-handling BProM system

Patterns of Data-Infused Business Model Innovation

Abstract: Business models have been a concept widely discussed over the last 20 years. The increasing availability of data and the growing capability to exploit them with analytics has sparked a new set of discussions, though: it is claimed that data and analytics bring to bear entirely new "data-based" or "data-driven" business models. However, there is neither a common understanding of these business models nor of the ways existing business models are transformed into those. This paper aims to create a coherent framework and common understanding of the infusion of business models by data and analytics. Contrasting popular views, our conceptual analysis reveals that there are no data-driven business models per se, instead, the utilization of data and analytics opens a "continuum" of transformation options for business models. We identify five distinct patterns in which the use of data may alter the business model, illustrate them with representative case studies and evaluate the patterns analyzing a sample of 115 industry business models. This paper will contribute to the fundamental understanding of how the use of data and the application of analytics may trigger business model innovation. The identified patterns will provide guidance to practitioners on how to utilize (big) data and analytics, in particular to draw attention to those that still seem underutilized for innovation. The developed pattern concept will also open up a broad agenda for future research.