Search results for "Big data"
showing 10 items of 311 documents
Big Data ja mediasuhteet : miten suuret data-aineistot mullistavat taas
2015
Voidaan perustellusti väittää, että digitaalisten data-aineistojen merkitys yhteiskunnassa kasvaa koko ajan. Jos sosiaalisen median nopea nousu uudeksi keskeiseksi viestinnän muodoksi tuli monille yllätyksenä viime vuosikymmenen aikana, sama muutos on toistumassa nyt laajojen data-aineistojen kanssa. Datan määrän lisääntyessä koko ajan tarvitaan eri aloilla uudenlaista viestinnällistä osaamista, sillä datajournalismi on tiimityötä. Tarvitaan työkäytäntöjen kehittämistä muun muassa data-aineistojen visualisoinnin suuntaan. Uudessa ympäristössä viestinnän ammattilaiset kohtaavat sekä datajournalisteja, jotka hyödyntävät suuria aineistoja, että data-aktivisteja, jotka vaativat suurempaa läpinä…
Data-driven marketing processes : Boundaries and how to overcome them
2022
Data-driven decision-making is gaining attention across organisational industries and capacities, and marketing is no exception. Data analysis and varying marketing analytics empower organisations of different sizes and business volumes to use maintainable execution results and constant development through data-driven processes in a variety of areas, such as advertising. Despite marketing’s benefits, experts lack the toolsets, abilities and procedures needed to transform this information into insights and subsequently put them into practice. Furthermore, research has yet to determine the various boundaries for utilising data-driven marketing in practice. The existing gap in current research…
Contemporary Issues in Digital Marketing
2022
This book presents a comprehensive overview of the key topics, best practices, future opportunities and challenges in the Digital Marketing discourse. With contributions from world-renowned experts, the book covers: • Big Data, Artificial Intelligence and Analytics in Digital Marketing • Emerging technologies and how they can enhance User Experience • How ‘digital’ is changing servicescapes • Issues surrounding ethics and privacy • Current and future issues surrounding Social Media • Key considerations for the future of Digital Marketing • Case studies and examples from real-life organisations Unique in its rigorous, research-driven and accessible approach to the subject of Digital Marketin…
Fintech strategy: E-reputation
2021
Digital media use applied to professional atmosphere is increasing its relevance in the companies of the 21st century. As a consequence, organisations should bear this fact in mind and adapt their corporate strategies to the new market demands. Online social networks offer customers the possibility to bring attention to issues they believe need to be addresses by organisations. Added to this, e-reputation plays a pivotal role in determining a company's competitive advantage. This paper studies the role of e-communications in an organisation's strategy and how analytics and modelling techniques are used to take advantage of the digital media content. It discusses the historical reputational …
Reduced Risk of Reoperations With Modern Deep Brain Stimulator Systems: Big Data Analysis From a United States Claims Database
2021
Objective: There have been significant improvements in the design and manufacturing of deep brain stimulation (DBS) systems, but no study has considered the impact of modern systems on complications. We sought to compare the relative occurrence of reoperations after de novo implantation of modern and traditional DBS systems in patients with Parkinson's disease (PD) or essential tremor (ET) in the United States.Design: Retrospective, contemporaneous cohort study.Setting: Multicenter data from the United States Centers for Medicare and Medicaid Services administrative claims database between 2016 and 2018.Participants: This population-based sample consisted of 5,998 patients implanted with a …
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…
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…
Understanding Big Data and its application in the digital marketing landscape
2021
This chapter outlines the increasing prominence of Big Data and its application to marketing practice. The 8Ps of the Expanded Marketing Mix: Product, Price, Place, Promotion, Process, Physical evidence, Partnerships and People are applied as the lens in explaining the application of Big Data in contemporary marketing practice. Big Data is already guiding marketing decision-making at multiple levels, from analysing consumer buying behaviour to Internet-of-Things (IoT)-enabled devices that report on product use conditions, service requirements or processing data from manufacturing. In the future, Artificial Intelligence will become important in handling Big Data. In preparation for this, the…
Big Data -arkkitehtuurit julkipilvessä
2019
Tämä tutkielma keskittyy massadata-arkkitehtuureihin ja niiden toteuttamiseen julkipilvessä. Tutkielmassa käsitellään teoreettisena taustana massadata, pilvipalvelut ja massadata-arkkitehtuurit. Tutkielman lopputuloksena on tutkia tapaustutkimuksen pohjalta Lambda- ja Kappa-arkki- tehtuureja julkipilvessä ja vertailla niiden kustannuksia teoreettisella tasolla. This thesis focuses on Big Data architectures and how to implement them to public cloud. Thesis cover Big Data, Cloud Services and Big Data architectures as theoretical background and focuses to case research Lambda- and Kappa-architectures in public cloud, based on comparing expenses at theoretical level.
Evaluating the Efficiency of Different Regression, Decision Tree, and Bayesian Machine Learning Algorithms in Spatial Piping Erosion Susceptibility U…
2020
Piping erosion is one form of water erosion that leads to significant changes in the landscape and environmental degradation. In the present study, we evaluated piping erosion modeling in the Zarandieh watershed of Markazi province in Iran based on random forest (RF), support vector machine (SVM), and Bayesian generalized linear models (Bayesian GLM) machine learning algorithms. For this goal, due to the importance of various geo-environmental and soil properties in the evolution and creation of piping erosion, 18 variables were considered for modeling the piping erosion susceptibility in the Zarandieh watershed. A total of 152 points of piping erosion were recognized in the study area that…