Search results for "data analytics"
showing 10 items of 21 documents
Organizational culture as a primary driver for utilizing big data analytics in organizations
2019
Master's thesis Information Systems IS501 - University of Agder 2019 Context:During this last decade we have witnessed a wave of digital disruption, where big data has had a central part. This has gotten many organizations to pay attention and investing in analytic tools for big data. Big data analytics can provide organizations with more knowledge from more data sources that can have a big impact on how organizations act. Many of the organizations that have purchased big data analytics have failed to derive benefits from it and this is demonstratedin the literature. Organizational culture is mentioned as being an important part of achieving success when adopting big data.Purpose: The purpo…
Towards an understanding of big data analytics as a weapon for competitive performance
2017
Master's thesis Information Systems IS501 - University of Agder 2017 Context: Big data has in the recent years been an area of interest among innovative organizations and has started to become a major priority for organizations in general, either through their own big data departments or by purchasing big data analyses from suppliers. Big data analytics means more knowledge from more data sources and is by many prophesied to be a contributing source of big change in how organizations receive their intelligence. Purpose: This thesis investigates the connection between big data and competitive performance. This connection could be explained through the following two paths; 1) how big data ana…
Big data analytics and internationalisation in Italian firms
2022
The chapter focuses on the role of big data in developing firms’ international e-commerce. We explore the effect of three different types of big data approaches on the probability of firms entering international markets via web sales. Specifically, we consider the following approaches: (a) use of big data managed by internal firm staff; (b) use of big data managed by specialised consulting firms; and (c) use of big data jointly managed by internal firm staff and specialised consultant firms. Applying qualitative data models on a large sample of Italian firms (about 18,900 firms), we find that the use of big data managed by internal staff or by specialised consulting firms is positively asso…
Towards Shipping 4.0. A preliminary gap analysis
2020
Abstract The paradigm of Industry 4.0 involves a substantial innovation to the value creation approach thought the supply chain and the application of digital enabling technologies like the Internet of Things (IoT), Big Data Analytics (BDA) and cloud computing. The fourth industrial revolution is thus expected to have a disruptive impact on maritime transport and shipping sectors, where smart ships and autonomous vessels well be part of a new and fully interconnected maritime ecosystem. Specific hardware components, such as sensors, actuators, or processors will be embedded in the ship’s key systems in order to provide valuable information to increase the efficiency, sustainability and safe…
A Virtual Milling Machine Model to Generate Machine-Monitoring Data for Predictive Analytics
2015
Real data from manufacturing processes are essential to create useful insights for decision-making. However, acquiring real manufacturing data can be expensive and time consuming. To address this issue, we implement a virtual milling machine model to generate machine monitoring data from process plans. MTConnect is used to report the monitoring data. This paper presents (1) the characteristics and specification of milling machine tools, (2) the architecture for implementing the virtual milling machine model, and (3) the integration with a simulation environment for extending to a virtual shop floor model. This paper also includes a case study to explain how to use the virtual milling machin…
Relevance of Big Data for Business and Management. Exploratory Insights (Part I)
2018
Abstract Over the last few decades Big Data has impetuously penetrated almost every domain of human interest/action and it has (more or less consciously) become a ubiquitous presence of day to day life. The main questions this exploratory paper seeks to address (throughout its two parts) are the following: What is the (actual) impact of Big Data on Business & Management and How can businesses (through their management) leverage the potential of Big Data to their benefit? A gradual, step by step approach (based on literature review and a variety of secondary data) will guide the paper in search for answers to the abovementioned questions: starting with a concise history of the topic Big …
Data Analytics in Healthcare: A Tertiary Study
2022
AbstractThe field of healthcare has seen a rapid increase in the applications of data analytics during the last decades. By utilizing different data analytic solutions, healthcare areas such as medical image analysis, disease recognition, outbreak monitoring, and clinical decision support have been automated to various degrees. Consequently, the intersection of healthcare and data analytics has received scientific attention to the point of numerous secondary studies. We analyze studies on healthcare data analytics, and provide a wide overview of the subject. This is a tertiary study, i.e., a systematic review of systematic reviews. We identified 45 systematic secondary studies on data analy…
Model-based Engineering for the Integration of Manufacturing Systems with Advanced Analytics
2016
To employ data analytics effectively and efficiently on manufacturing systems, engineers and data scientists need to collaborate closely to bring their domain knowledge together. In this paper, we introduce a domain-specific modeling approach to integrate a manufacturing system model with advanced analytics, in particular neural networks, to model predictions. Our approach combines a set of meta-models and transformation rules based on the domain knowledge of manufacturing engineers and data scientists. Our approach uses a model of a manufacturing process and its associated data as inputs, and generates a trained neural network model as an output to predict a quantity of interest. This pape…
Special Issue on Computational Intelligence and Nature-Inspired Algorithms for Real-World Data Analytics and Pattern Recognition
2018
This special issue of Algorithms is devoted to the study of Computational Intelligence and Nature-Inspired Algorithms for Real-World Data Analytics and Pattern Recognition. The special issue considered both theoretical contributions able to advance the state-of-the-art in this field and practical applications that describe novel approaches for solving real-world problems.
Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective
2018
Big data technologies are nowadays providing health care with powerful instruments to gather and analyze large volumes of heterogeneous data collected for different purposes, including clinical care, administration, and research. This makes possible to design IT infrastructures that favor the implementation of the so-called “Learning Healthcare System Cycle,” where healthcare practice and research are part of a unique and synergic process. In this paper we highlight how “Big Data enabled” integrated data collections may support clinical decision-making together with biomedical research. Two effective implementations are reported, concerning decision support in Diabetes and in Inherited Arrh…