Data Analytics Applications In Latin America And Emerging Economies

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Data Analytics Applications in Latin America and Emerging Economies

Eduardo Rodriguez
Data Analytics Applications in Latin America and Emerging Economies Book PDF

Author : Eduardo Rodriguez
Publisher : CRC Press
Page : 272 pages
File Size : 49,7 Mb
Release : 2017-07-28
Category : Business & Economics
ISBN : 9781351673174

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Data Analytics Applications in Latin America and Emerging Economies by Eduardo Rodriguez Pdf

This book focuses on understanding the analytics knowledge management process and its comprehensive application to various socioeconomic sectors. Using cases from Latin America and other emerging economies, it examines analytics knowledge applications where a solution has been achieved. Written for business students and professionals as well as researchers, the book is filled with practical insight into applying concepts and implementing processes and solutions. The eleven case studies presented in the book incorporate the whole analytics process and are useful reference examples for applying the analytics process for SME organizations in both developing and developed economies. The cases also identify multiple tacit factors to deal with during the implementation of analytics knowledge management processes. These factors, which include data cleaning, data gathering, and interpretation of results, are not always easily identified by analytics practitioners. This book promotes the understanding of analytics methods and techniques. It guides readers through numerous techniques and methods available to analytics practitioners by explaining the strengths and weaknesses of these methods and techniques.

Data Analytics Applications in Emerging Markets

José Antonio Núñez Mora,M. Beatriz Mota Aragón
Data Analytics Applications in Emerging Markets Book PDF

Author : José Antonio Núñez Mora,M. Beatriz Mota Aragón
Publisher : Springer Nature
Page : 209 pages
File Size : 41,8 Mb
Release : 2022-10-26
Category : Business & Economics
ISBN : 9789811946950

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Data Analytics Applications in Emerging Markets by José Antonio Núñez Mora,M. Beatriz Mota Aragón Pdf

This book analyzes the impact of technology in emerging markets by considering conditions and the history of how it has changed the way of working and market development in such contexts. The book delves into key areas such as fintech enterprises, artificial intelligence, pension funds, stock markets, and energy markets though applied studies and research. This book is a useful read for practitioners and scholars interested in how technology has and continues to change the way in which development is defined and achieved, particularly in emerging markets.

Data Analytics Applications in Gaming and Entertainment

Günter Wallner
Data Analytics Applications in Gaming and Entertainment Book PDF

Author : Günter Wallner
Publisher : CRC Press
Page : 284 pages
File Size : 52,7 Mb
Release : 2019-07-11
Category : Computers
ISBN : 9781000001860

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Data Analytics Applications in Gaming and Entertainment by Günter Wallner Pdf

The last decade has witnessed the rise of big data in game development as the increasing proliferation of Internet-enabled gaming devices has made it easier than ever before to collect large amounts of player-related data. At the same time, the emergence of new business models and the diversification of the player base have exposed a broader potential audience, which attaches great importance to being able to tailor game experiences to a wide range of preferences and skill levels. This, in turn, has led to a growing interest in data mining techniques, as they offer new opportunities for deriving actionable insights to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation. By now, data mining and analytics have become vital components of game development. The amount of work being done in this area nowadays makes this an ideal time to put together a book on this subject. Data Analytics Applications in Gaming and Entertainment seeks to provide a cross section of current data analytics applications in game production. It is intended as a companion for practitioners, academic researchers, and students seeking knowledge on the latest practices in game data mining. The chapters have been chosen in such a way as to cover a wide range of topics and to provide readers with a glimpse at the variety of applications of data mining in gaming. A total of 25 authors from industry and academia have contributed 12 chapters covering topics such as player profiling, approaches for analyzing player communities and their social structures, matchmaking, churn prediction and customer lifetime value estimation, communication of analytical results, and visual approaches to game analytics. This book’s perspectives and concepts will spark heightened interest in game analytics and foment innovative ideas that will advance the exciting field of online gaming and entertainment.

Military Applications of Data Analytics

Kevin Huggins
Military Applications of Data Analytics Book PDF

Author : Kevin Huggins
Publisher : CRC Press
Page : 194 pages
File Size : 50,6 Mb
Release : 2018-10-09
Category : Mathematics
ISBN : 9780429818271

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Military Applications of Data Analytics by Kevin Huggins Pdf

Military organizations around the world are normally huge producers and consumers of data. Accordingly, they stand to gain from the many benefits associated with data analytics. However, for leaders in defense organizations—either government or industry—accessible use cases are not always available. This book presents a diverse collection of cases that explore the realm of possibilities in military data analytics. These use cases explore such topics as: Context for maritime situation awareness Data analytics for electric power and energy applications Environmental data analytics in military operations Data analytics and training effectiveness evaluation Harnessing single board computers for military data analytics Analytics for military training in virtual reality environments A chapter on using single board computers explores their application in a variety of domains, including wireless sensor networks, unmanned vehicles, and cluster computing. The investigation into a process for extracting and codifying expert knowledge provides a practical and useful model for soldiers that can support diagnostics, decision making, analysis of alternatives, and myriad other analytical processes. Data analytics is seen as having a role in military learning, and a chapter in the book describes the ongoing work with the United States Army Research Laboratory to apply data analytics techniques to the design of courses, evaluation of individual and group performances, and the ability to tailor the learning experience to achieve optimal learning outcomes in a minimum amount of time. Another chapter discusses how virtual reality and analytics are transforming training of military personnel. Virtual reality and analytics are also transforming monitoring, decision making, readiness, and operations. Military Applications of Data Analytics brings together a collection of technical and application-oriented use cases. It enables decision makers and technologists to make connections between data analytics and such fields as virtual reality and cognitive science that are driving military organizations around the world forward.

Big Data and Analytics Applications in Government

Gregory Richards
Big Data and Analytics Applications in Government Book PDF

Author : Gregory Richards
Publisher : CRC Press
Page : 195 pages
File Size : 45,9 Mb
Release : 2017-09-18
Category : Business & Economics
ISBN : 9781351649629

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Big Data and Analytics Applications in Government by Gregory Richards Pdf

Within this context, big data analytics (BDA) can be an important tool given that many analytic techniques within the big data world have been created specifically to deal with complexity and rapidly changing conditions. The important task for public sector organizations is to liberate analytics from narrow scientific silos and expand it across internally to reap maximum benefit across their portfolios of programs. This book highlights contextual factors important to better situating the use of BDA within government organizations and demonstrates the wide range of applications of different BDA techniques. It emphasizes the importance of leadership and organizational practices that can improve performance. It explains that BDA initiatives should not be bolted on but should be integrated into the organization’s performance management processes. Equally important, the book includes chapters that demonstrate the diversity of factors that need to be managed to launch and sustain BDA initiatives in public sector organizations.

Data Analytics in Project Management

Seweryn Spalek,J. Davidson Frame,Yanping Chen,Carl Pritchard,Alfonso Bucero,Werner Meyer,Ryan Legard,Michael Bragen,Klas Skogmar,Deanne Larson,Bert Brijs
Data Analytics in Project Management Book PDF

Author : Seweryn Spalek,J. Davidson Frame,Yanping Chen,Carl Pritchard,Alfonso Bucero,Werner Meyer,Ryan Legard,Michael Bragen,Klas Skogmar,Deanne Larson,Bert Brijs
Publisher : Taylor & Francis Group/CRC Press
Page : 11 pages
File Size : 51,6 Mb
Release : 2019-01-01
Category : Business & Economics
ISBN : 9781138307285

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Data Analytics in Project Management by Seweryn Spalek,J. Davidson Frame,Yanping Chen,Carl Pritchard,Alfonso Bucero,Werner Meyer,Ryan Legard,Michael Bragen,Klas Skogmar,Deanne Larson,Bert Brijs Pdf

Data Analytics in Project Management. Data analytics plays a crucial role in business analytics. Without a rigid approach to analyzing data, there is no way to glean insights from it. Business analytics ensures the expected value of change while that change is implemented by projects in the business environment. Due to the significant increase in the number of projects and the amount of data associated with them, it is crucial to understand the areas in which data analytics can be applied in project management. This book addresses data analytics in relation to key areas, approaches, and methods in project management. It examines: • Risk management • The role of the project management office (PMO) • Planning and resource management • Project portfolio management • Earned value method (EVM) • Big Data • Software support • Data mining • Decision-making • Agile project management Data analytics in project management is of increasing importance and extremely challenging. There is rapid multiplication of data volumes, and, at the same time, the structure of the data is more complex. Digging through exabytes and zettabytes of data is a technological challenge in and of itself. How project management creates value through data analytics is crucial. Data Analytics in Project Management addresses the most common issues of applying data analytics in project management. The book supports theory with numerous examples and case studies and is a resource for academics and practitioners alike. It is a thought-provoking examination of data analytics applications that is valuable for projects today and those in the future.

Data Analytics for Smart Cities

Amir Alavi,William G. Buttlar
Data Analytics for Smart Cities Book PDF

Author : Amir Alavi,William G. Buttlar
Publisher : CRC Press
Page : 240 pages
File Size : 42,9 Mb
Release : 2018-10-26
Category : Computers
ISBN : 9780429786631

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Data Analytics for Smart Cities by Amir Alavi,William G. Buttlar Pdf

The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.

Big Data Analytics in Cybersecurity

Onur Savas,Julia Deng
Big Data Analytics in Cybersecurity Book PDF

Author : Onur Savas,Julia Deng
Publisher : CRC Press
Page : 336 pages
File Size : 47,8 Mb
Release : 2017-09-18
Category : Business & Economics
ISBN : 9781498772167

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Big Data Analytics in Cybersecurity by Onur Savas,Julia Deng Pdf

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.

Teaching Data Analytics

Susan A Vowels,Katherine Leaming Goldberg
Teaching Data Analytics Book PDF

Author : Susan A Vowels,Katherine Leaming Goldberg
Publisher : CRC Press
Page : 202 pages
File Size : 53,8 Mb
Release : 2019-06-17
Category : Computers
ISBN : 9781351721455

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Teaching Data Analytics by Susan A Vowels,Katherine Leaming Goldberg Pdf

The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area. The very size and continuing growth of this need means that there is still space for new program development. Schools wishing to pursue business analytics programs intentionally assess the maturity level of their programs and take steps to close the gap. Teaching Data Analytics: Pedagogy and Program Design is a reference for faculty and administrators seeking direction about adding or enhancing analytics offerings at their institutions. It provides guidance by examining best practices from the perspectives of faculty and practitioners. By emphasizing the connection of data analytics to organizational success, it reviews the position of analytics and decision science programs in higher education, and to review the critical connection between this area of study and career opportunities. The book features: A variety of perspectives ranging from the scholarly theoretical to the practitioner applied An in-depth look into a wide breadth of skills from closely technology-focused to robustly soft human connection skills Resources for existing faculty to acquire and maintain additional analytics-relevant skills that can enrich their current course offerings. Acknowledging the dichotomy between data analytics and data science, this book emphasizes data analytics rather than data science, although the book does touch upon the data science realm. Starting with industry perspectives, the book covers the applied world of data analytics, covering necessary skills and applications, as well as developing compelling visualizations. It then dives into pedagogical and program design approaches in data analytics education and concludes with ideas for program design tactics. This reference is a launching point for discussions about how to connect industry’s need for skilled data analysts to higher education’s need to design a rigorous curriculum that promotes student critical thinking, communication, and ethical skills. It also provides insight into adding new elements to existing data analytics courses and for taking the next step in adding data analytics offerings, whether it be incorporating additional analytics assignments into existing courses, offering one course designed for undergraduates, or an integrated program designed for graduate students.

Handbook of Research on Social and Organizational Dynamics in the Digital Era

Idemudia, Efosa C.
Handbook of Research on Social and Organizational Dynamics in the Digital Era Book PDF

Author : Idemudia, Efosa C.
Publisher : IGI Global
Page : 667 pages
File Size : 52,7 Mb
Release : 2019-08-30
Category : Computers
ISBN : 9781522589341

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Handbook of Research on Social and Organizational Dynamics in the Digital Era by Idemudia, Efosa C. Pdf

Technology in the world today impacts every aspect of society and has infiltrated every industry, affecting communication, management, security, etc. With the emergence of such technologies as IoT, big data, cloud computing, AI, and virtual reality, organizations have had to adjust the way they conduct business to account for changing consumer behaviors and increasing data protection awareness. The Handbook of Research on Social and Organizational Dynamics in the Digital Era provides relevant theoretical frameworks and the latest empirical research findings on all aspects of social issues impacted by information technology in organizations and inter-organizational structures and presents the conceptualization of specific social issues and their associated constructs. Featuring coverage on a broad range of topics such as business management, knowledge management, and consumer behavior, this publication seeks to advance the practice and understanding of technology and the impacts of technology on social behaviors and norms in the workplace and society. It is intended for business professionals, executives, IT practitioners, policymakers, students, and researchers.

Data Analytics and AI

Jay Liebowitz
Data Analytics and AI Book PDF

Author : Jay Liebowitz
Publisher : CRC Press
Page : 242 pages
File Size : 54,6 Mb
Release : 2020-08-06
Category : Computers
ISBN : 9781000094657

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Data Analytics and AI by Jay Liebowitz Pdf

Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.

Data Analytics

Subhashish Samaddar,Satish Nargundkar
Data Analytics Book PDF

Author : Subhashish Samaddar,Satish Nargundkar
Publisher : CRC Press
Page : 158 pages
File Size : 43,6 Mb
Release : 2019-02-18
Category : Computers
ISBN : 9781351973410

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Data Analytics by Subhashish Samaddar,Satish Nargundkar Pdf

If you are a manager who receives the results of any data analyst’s work to help with your decision-making, this book is for you. Anyone playing a role in the field of analytics can benefit from this book as well. In the two decades the editors of this book spent teaching and consulting in the field of analytics, they noticed a critical shortcoming in the communication abilities of many analytics professionals. Specifically, analysts have difficulty in articulating in business terms what their analyses showed and what actionable recommendations were made. When analysts made presentations, they tended to lapse into the technicalities of mathematical procedures, rather than focusing on the strategic and tactical impact and meaning of their work. As analytics has become more mainstream and widespread in organizations, this problem has grown more acute. Data Analytics: Effective Methods for Presenting Results tackles this issue. The editors have used their experience as presenters and audience members who have become lost during presentation. Over the years, they experimented with different ways of presenting analytics work to make a more compelling case to top managers. They have discovered tried and true methods for improving presentations, which they share. The book also presents insights from other analysts and managers who share their own experiences. It is truly a collection of experiences and insight from academics and professionals involved with analytics. The book is not a primer on how to draw the most beautiful charts and graphs or about how to perform any specific kind of analysis. Rather, it shares the experiences of professionals in various industries about how they present their analytics results effectively. They tell their stories on how to win over audiences. The book spans multiple functional areas within a business, and in some cases, it discusses how to adapt presentations to the needs of audiences at different levels of management.

Data Analytics in Marketing, Entrepreneurship, and Innovation

Mounir Kehal,Shahira El Alfy
Data Analytics in Marketing Entrepreneurship and Innovation Book PDF

Author : Mounir Kehal,Shahira El Alfy
Publisher : CRC Press
Page : 193 pages
File Size : 50,6 Mb
Release : 2021-01-12
Category : Business & Economics
ISBN : 9780429591686

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Data Analytics in Marketing, Entrepreneurship, and Innovation by Mounir Kehal,Shahira El Alfy Pdf

Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.

The Politics of Technology in Latin America (Volume 1)

Avery Plaw,Barbara Carvalho Gurgel,David Ramírez Plascencia
The Politics of Technology in Latin America Volume 1 Book PDF

Author : Avery Plaw,Barbara Carvalho Gurgel,David Ramírez Plascencia
Publisher : Routledge
Page : 226 pages
File Size : 51,5 Mb
Release : 2020-12-30
Category : Political Science
ISBN : 9781000317725

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The Politics of Technology in Latin America (Volume 1) by Avery Plaw,Barbara Carvalho Gurgel,David Ramírez Plascencia Pdf

This book analyses the arrival of emerging and traditional information and technology for public and economic use in Latin America. It focuses on the governmental, economic and security issues and the study of the complex relationship between citizens and government. The book is divided into three parts: • ‘Digital data and privacy, prospects and barriers’ centers on the debates among the right of privacy and the loss of intimacy in the Internet, • ‘Homeland security and human rights’ focuses on how novel technologies such as drones and autonomous weapons systems reconfigure the strategies of police authorities and organized crime, • ‘Labor Markets, digital media and emerging technologies’ emphasize the legal, economic and social perils and challenges caused by the increased presence of social media, blockchain-based applications, artificial intelligence and automation technologies in the Latin American economy. This first volume in a two volume set will be important reading for scholars and students of governance in Latin American, the protection of human rights and the use of technology to combat crime and the new advances of digital economy in the region.

Data-Driven Law

Edward J. Walters
Data Driven Law Book PDF

Author : Edward J. Walters
Publisher : CRC Press
Page : 215 pages
File Size : 54,5 Mb
Release : 2018-07-16
Category : Computers
ISBN : 9780429892073

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Data-Driven Law by Edward J. Walters Pdf

For increasingly data-savvy clients, lawyers can no longer give "it depends" answers rooted in anecdata. Clients insist that their lawyers justify their reasoning, and with more than a limited set of war stories. The considered judgment of an experienced lawyer is unquestionably valuable. However, on balance, clients would rather have the considered judgment of an experienced lawyer informed by the most relevant information required to answer their questions. Data-Driven Law: Data Analytics and the New Legal Services helps legal professionals meet the challenges posed by a data-driven approach to delivering legal services. Its chapters are written by leading experts who cover such topics as: Mining legal data Computational law Uncovering bias through the use of Big Data Quantifying the quality of legal services Data mining and decision-making Contract analytics and contract standards In addition to providing clients with data-based insight, legal firms can track a matter with data from beginning to end, from the marketing spend through to the type of matter, hours spent, billed, and collected, including metrics on profitability and success. Firms can organize and collect documents after a matter and even automate them for reuse. Data on marketing related to a matter can be an amazing source of insight about which practice areas are most profitable. Data-driven decision-making requires firms to think differently about their workflow. Most firms warehouse their files, never to be seen again after the matter closes. Running a data-driven firm requires lawyers and their teams to treat information about the work as part of the service, and to collect, standardize, and analyze matter data from cradle to grave. More than anything, using data in a law practice requires a different mindset about the value of this information. This book helps legal professionals to develop this data-driven mindset.