The Use of Big Data in Marketing Analytics

2022 ◽  
pp. 1371-1387
Author(s):  
Chai-Lee Goi
Keyword(s):  
Big Data ◽  
Business Intelligence ◽  
The Public ◽  
Marketing Analytics ◽  
Literature Reviews ◽  
Data Architecture ◽  
The Future ◽  
Public Imagination

Big data has broken through the public imagination, has revolutionised the process through which business find innovative ways, and has transformed the data into valuable information that will shape business intelligence and gain business insights to make better decisions. The purpose of this study is to review the development of big data, architecture, and the use of big data in marketing analytics. From the analysis of literature reviews, a big data in marketing analytics model has been proposed. In using big data in marketing, marketers need balanced analytics and then identify opportunities for improvement based on reporting or analysing past and present big data to predict and influence the future.

The Use of Big Data in Marketing Analytics

2021 ◽  
pp. 62-78
Author(s):  
Chai-Lee Goi
Keyword(s):  
Big Data ◽  
Business Intelligence ◽  
The Public ◽  
Marketing Analytics ◽  
Literature Reviews ◽  
Data Architecture ◽  
The Future ◽  
Public Imagination

Big data has broken through the public imagination, has revolutionised the process through which business find innovative ways, and has transformed the data into valuable information that will shape business intelligence and gain business insights to make better decisions. The purpose of this study is to review the development of big data, architecture, and the use of big data in marketing analytics. From the analysis of literature reviews, a big data in marketing analytics model has been proposed. In using big data in marketing, marketers need balanced analytics and then identify opportunities for improvement based on reporting or analysing past and present big data to predict and influence the future.

Living machines in our cultural imagination

2018 ◽  
Author(s):  
Michael Szollosy
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Public Perceptions ◽  
Human Condition ◽  
Cultural Imagination ◽  
The Public ◽  
The Enlightenment ◽  
The Future ◽  
Public Imagination ◽  
The Human Condition

Public perceptions of robots and artificial intelligence (AI)—both positive and negative—are hopelessly misinformed, based far too much on science fiction rather than science fact. However, these fictions can be instructive, and reveal to us important anxieties that exist in the public imagination, both towards robots and AI and about the human condition more generally. These anxieties are based on little-understood processes (such as anthropomorphization and projection), but cannot be dismissed merely as inaccuracies in need of correction. Our demonization of robots and AI illustrate two-hundred-year-old fears about the consequences of the Enlightenment and industrialization. Idealistic hopes projected onto robots and AI, in contrast, reveal other anxieties, about our mortality—and the transhumanist desire to transcend the limitations of our physical bodies—and about the future of our species. This chapter reviews these issues and considers some of their broader implications for our future lives with living machines.

Procurement Analytics: Enabling Data Architectures in the Age of Big Data

2020 ◽  
Author(s):  
Michael Goul ◽  
T. S. Raghu ◽  
Ziru Li
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Research Literature ◽  
Structured Interviews ◽  
Data Space ◽  
Prescriptive Analytics ◽  
Data Architecture ◽  
The Future ◽  
High Level ◽  
Area Data

As procurement organizations increasingly move from a cost-and-efficiency emphasis to a profit-and-growth emphasis, flexible data architecture will become an integral part of a procurement analytics strategy. It is therefore imperative for procurement leaders to understand and address digitization trends in supply chains and to develop strategies to create robust data architecture and analytics strategies for the future. This chapter assesses and examines the ways companies can organize their procurement data architectures in the big data space to mitigate current limitations and to lay foundations for the discovery of new insights. It sets out to understand and define the levels of maturity in procurement organizations as they pertain to the capture, curation, exploitation, and management of procurement data. The chapter then develops a framework for articulating the value proposition of moving between maturity levels and examines what the future entails for companies with mature data architectures. In addition to surveying the practitioner and academic research literature on procurement data analytics, the chapter presents detailed and structured interviews with over fifteen procurement experts from companies around the globe. The chapter finds several important and useful strategies that have helped procurement organizations design strategic roadmaps for the development of robust data architectures. It then further identifies four archetype procurement area data architecture contexts. In addition, this chapter details exemplary high-level mature data architecture for each archetype and examines the critical assumptions underlying each one. Data architectures built for the future need a design approach that supports both descriptive and real-time, prescriptive analytics.

The new era of business intelligence

2018 ◽  
Vol 26 (3) ◽  
pp. 531-546 ◽  
Author(s):  
Milla Ratia ◽  
Jussi Myllärniemi ◽  
Nina Helander
Keyword(s):  
Health Care ◽  
Big Data ◽  
Value Creation ◽  
Business Intelligence ◽  
Health Care Industry ◽  
Health Care Sector ◽  
Private Health Care ◽  
Data Utilization ◽  
Content Type ◽  
The Future

Purpose As the health care sector is changing rapidly, there is a growing need to develop new ways to make data-driven decisions, especially at the organizational level. Data utilization, like business intelligence (BI) activities, benefits health care organizations. The purpose of this paper is to study the potential of Big Data and the utilization of BI tools in creating value in the private health care industry in Finland. Design/methodology/approach Intellectual capital (IC) components and Möller et al.’s (2005) work on value capabilities are used as a framework to point out the roles of data utilization and BI tools in value creation. Thematic interviews enable understanding of the value creation based on Big Data potential and utilization of BI tools in the Finnish private health care industry. Findings The findings will provide an understanding of the existing data sources and BI tools used in private health care. In addition, it provides an insight into the future-oriented Big Data potential, which can create new business concepts. The approach provides valuable insights for value identifying the future needs of data utilization and creates an understanding on the current state within the private health care sector. Originality/value Data-driven value creation is one of the most discussed topics in private health care sector. By analyzing the current data-source utilization, challenges with data and BI tool utilization and the future vision and development roadmaps, the authors gain a better understanding of the IC components and value creation capabilities.

scholarly journals Future Trends in Data Science

2021 ◽  
pp. 364-372
Author(s):  
Yaasmin Attarwala ◽  
Sakshi Baid
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Business Intelligence ◽  
Data Science ◽  
Future Trends ◽  
Hidden Information ◽  
Data Repositories ◽  
Huge Data ◽  
The Future

With progression in technology, an enormous magnitude of information being collected from digital users by various businesses and organizations, has resulted in formation of huge data repositories commonly known by the term Big data. Data mining is a tool used for extracting hidden information from these vast databases to identify unique patterns and rules. The present paper aims to provide a detailed description of the importance of big data in today’s times, its characteristics, how data mining plays an important role in big data, why it is a necessity in today’s times, the process of data mining and functionalities it performs, data mining techniques such as classification, clustering etc. that help in finding the patterns to decide upon the future trends in businesses and applications of the same in various fields. The paper also discusses the important role of data mining in Business Intelligence (BI) and various industries, to identify unique patterns and obtain results from the data along with the second half of the paper focusing on further exploring the challenges that are faced in big data and tools used, the applications and upcoming trends in data science and lastly, the scope and importance of data science in the future.

Artistic Challenges within Control Societies: Big Data and Democratic Resistance

MedienJournal ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 50-61 ◽  
Author(s):  
Jan Jagodzinski
Keyword(s):  
Big Data ◽  
Gilles Deleuze ◽  
Data Archive ◽  
Current State ◽  
The Future ◽  
The Way

This paper will first briefly map out the shift from disciplinary to control societies (what I call designer capitalism, the idea of control comes from Gilles Deleuze) in relation to surveillance and mediation of life through screen cultures. The paper then shifts to the issues of digitalization in relation to big data that have the danger of continuing to close off life as zoë, that is life that is creative rather than captured via attention technologies through marketing techniques and surveillance. The last part of this paper then develops the way artists are able to resist the big data archive by turning the data in on itself to offer viewers and participants a glimpse of the current state of manipulating desire and maintaining copy right in order to keep the future closed rather than being potentially open.

Big Data and the Economics of TV Broadcasting. Where is the Public Value?

MedienJournal ◽  
2017 ◽  
Vol 41 (3) ◽  
pp. 15-28 ◽  
Author(s):  
Paul Clemens Murschetz
Keyword(s):  
Big Data ◽  
Public Value ◽  
The Public ◽  
Tv Broadcasting

Der vorliegende Beitrag untersucht Potenziale und Risiken von Big Data für das Leitmedium Fernsehen. Er nimmt dabei eine betont kritisch-normative Perspektive aus Sicht der Medienökonomie ein und analysiert diese anhand des Beispiels Konvergenzfernsehen. Eine der vielen Dimensionen von Big Data ist nämlich die Analyse des Nutzungsverhaltens einer Vielzahl von Konsumenten. Big Data-Dienste verwenden die Analyseergebnisse nicht nur dazu, individuelle Filmempfehlungen zu geben, sondern entscheiden vielmehr darüber, welche Inhalte überhaupt in das Portfolio eines Anbieters aufgenommen bzw. produziert werden. Auch wenn diese Dienste zu einer Optimierung von TV-Vermarktung führen, ist bis heute umstritten, inwiefern Big Data auch Mehrwert für Nutzer generiert. Auf der Sollseite stehen Überwachung, die Frageder Individualisierung und Rationalisierung des Konsums und generell die Kommodifizierung des Mediums.

Reconstruction of Life Imprisonment in Prison System in Indonesia

2020 ◽  
Vol 2 (4) ◽  
pp. 499
Author(s):  
Boma Wira Gumilar ◽  
Gunarto Gunarto ◽  
Akhmad Khisni
Keyword(s):  
Justice System ◽  
Criminal Code ◽  
Prison System ◽  
Penal System ◽  
Legal Research ◽  
Life Imprisonment ◽  
The Public ◽  
Prison Life ◽  
The Future ◽  
Research Types

The most important part in a Book of Criminal Law (Penal Code) is a prison, because the prison contains rules about the size and implementation of the criminal. The position of life imprisonment in the national criminal justice system is still considered relevant as a means of crime prevention, it can be seen from the number of offenses punishable with life imprisonment. However, life imprisonment is considered contrary to the penal system. This study aims to investigate the implementation of life imprisonment, weaknesses, and the solution in the future. The approach used in the study is a non-doctrinal legal research with socio-legal research types (Juridical Sociological).The results of research studies show that life imprisonment is contrary to prison system, and life imprisonment become an obstacle to fostering convicts back into society. Bill Criminal Code of September 2019 can be used as a solution to life imprisonment change in the future. Presented advice, in order to be disseminated to the application of the criminal purpose of the Criminal Code of Prison adopted in the future, so that the public and experts no longer make the criminal as a form of retaliation.Keywords: Reconstruction; Crime; Prison; Life Imprisonment; System; Corrections.

MODERN STAGE IN THE FORMATIONOF POLYCENTRIC WORLD

2019 ◽  
Author(s):  
А.N. MIKHAILENKO
Keyword(s):  
New World ◽  
World Order ◽  
New World Order ◽  
International Leadership ◽  
The Public ◽  
The World ◽  
The Future

The world is in a state of profound changes. One of the most likely forms of the future world pattern is polycentrism. At the stage of the formation of a new world order, it is very important to identify its key properties, identify the challenges associated with them and offer the public possible answers to them. It is proposed to consider conflictness, uncertainty and other features as properties of polycentrism. These properties entail certain challenges, the answers to them could be flexibility of diplomacy, development of international leadership and others.

Sign in / Sign up

Export Citation Format

Share Document