The Influences Of Big Data Analytics

The Influences Of Big Data Analytics Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of The Influences Of Big Data Analytics book. This book definitely worth reading, it is an incredibly well-written.

Big Data and Analytics

Author : Vincenzo Morabito
Publisher : Springer
Page : 202 pages
File Size : 51,7 Mb
Release : 2015-01-31
Category : Business & Economics
ISBN : 9783319106656

Get Book

Big Data and Analytics by Vincenzo Morabito Pdf

This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.

The Influences of Big Data Analytics

Author : Dr. Joseph Aluya, D.B.A.
Publisher : Author House
Page : 239 pages
File Size : 52,8 Mb
Release : 2014-09-05
Category : Computers
ISBN : 9781496927507

Get Book

The Influences of Big Data Analytics by Dr. Joseph Aluya, D.B.A. Pdf

The theoretical framework for this book was our ground-up theory of the Scope, Size, Speed, and Skill (4Ss) and Technological Situational Happenstances (TSHs) applied to Big data analytics. With in-depth research, we catechized the effects of the coalesced insights from big data influencing the architectures of incremental and radical business models. We discussed data inflation and the global impact of TSHs. We showed how deft leadership used insights gleaned from big data analytics to make strategic decisions. The big data syndrome led to Microsoft's acquisition of Nokia in our case study. Our study of APPLE Corporation's use of large datasets was explicitly analyzed. Leaderships' failure to incorporate those contextual elements afforded by insights gleaned from big data analytics, concomitant with the associated costs led to acute forms of irrational rationalism, groupthink, and faulty decision making. We explained the statistics used to essentially describe this paradigm shift, such as high dimensionality, incidental endogeneity, noise accumulation, spurious correlation, and computational costs. Significantly, machine learning challenged the status quo by effectively changing the existing technological landscape. To scholarly critics, how would supervised and un-supervised learning algorithms advance the trajectory of perspectives in applied knowledge under the umbrella of big data? Further, political and socio-economics tied to big data was examined. We recommended leaders should have a shared cognition on how to leverage analytics from large datasets for competitive advantages. Most significantly, leaders or managers should be cognizant of the inextricable synergies that seamlessly flow from adroitly implementing a strategy to profit from the speed, size, skill, and scope (i.e. the 4Ss) of the big data environment, conditioned by the leveraging of those transactional situational happenstances generated by increases in market volatility. We concluded the algorithmic processes of leveraging insights from big data have globally resulted in a disruption of current technological pathways.

Big Data

Author : Bill Schmarzo
Publisher : John Wiley & Sons
Page : 245 pages
File Size : 48,6 Mb
Release : 2013-10-07
Category : Business & Economics
ISBN : 9781118739570

Get Book

Big Data by Bill Schmarzo Pdf

Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.

New Technologies for Human Rights Law and Practice

Author : Molly K. Land,Jay D. Aronson
Publisher : Cambridge University Press
Page : 333 pages
File Size : 49,5 Mb
Release : 2018-04-19
Category : Computers
ISBN : 9781107179639

Get Book

New Technologies for Human Rights Law and Practice by Molly K. Land,Jay D. Aronson Pdf

Provides a roadmap for understanding the relationship between technology and human rights law and practice. This title is also available as Open Access.

Big Data Analytics and Its Impact on Basin Water Agreements and International Water Law

Author : Imad Antoine Ibrahim,Rafael Dean Brown,Jon Truby
Publisher : BRILL
Page : 181 pages
File Size : 44,9 Mb
Release : 2022-01-17
Category : Law
ISBN : 9789004507623

Get Book

Big Data Analytics and Its Impact on Basin Water Agreements and International Water Law by Imad Antoine Ibrahim,Rafael Dean Brown,Jon Truby Pdf

Big data analytics is transforming the water sector at the national and international levels. Its potential impact on transboundary water resource governance is being assessed, in the context of selected basins in this book.

Managerial Perspectives on Intelligent Big Data Analytics

Author : Sun, Zhaohao
Publisher : IGI Global
Page : 335 pages
File Size : 45,5 Mb
Release : 2019-02-22
Category : Computers
ISBN : 9781522572787

Get Book

Managerial Perspectives on Intelligent Big Data Analytics by Sun, Zhaohao Pdf

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

Big Data Analytics in U.S. Courts

Author : Dwight Steward,Roberto Cavazos
Publisher : Springer Nature
Page : 86 pages
File Size : 44,5 Mb
Release : 2019-11-14
Category : Law
ISBN : 9783030317805

Get Book

Big Data Analytics in U.S. Courts by Dwight Steward,Roberto Cavazos Pdf

This Palgrave Pivot identifies the key legal, economic, and policy issues surrounding the allowance to use and interpret electronic data consistently and in a scientifically valid manner in U.S. courts. Evidence based on the analysis of large amounts of electronic data ("Big Data") plays an increasing role in civil court disputes, providing information that could not have been obtained from a witness stand. While Big Data evidence presents opportunities, it also presents legal and public policy challenges and concerns. How can one be sure that deviations found in Big Data fall outside the norm? If statistical analyses can be conducted and presented different ways, how can judges and juries make sense of conflicting interpretations? When does Big Data extraction stop being investigative and instead become an invasion of privacy? This book traces the history of Big Data use in U.S. courts, couples current case studies with legal challenges to explore key controversies, and suggests how courts can change the way they handle Big Data to ensure that findings are statistically significant and scientifically sound.

New Horizons for a Data-Driven Economy

Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Page : 303 pages
File Size : 46,7 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9783319215693

Get Book

New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Creating Value with Big Data Analytics

Author : Peter C. Verhoef,Edwin Kooge,Natasha Walk
Publisher : Routledge
Page : 339 pages
File Size : 41,5 Mb
Release : 2016-01-08
Category : Business & Economics
ISBN : 9781317561927

Get Book

Creating Value with Big Data Analytics by Peter C. Verhoef,Edwin Kooge,Natasha Walk Pdf

Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.

Big Data Analytics in Supply Chain Management

Author : Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Publisher : CRC Press
Page : 211 pages
File Size : 49,9 Mb
Release : 2020-12-20
Category : Computers
ISBN : 9781000326918

Get Book

Big Data Analytics in Supply Chain Management by Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü Pdf

In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.

The Human Face of Big Data

Author : Rick Smolan,Jennifer Erwitt
Publisher : Unknown
Page : 0 pages
File Size : 49,6 Mb
Release : 2012
Category : Big data
ISBN : 1454908270

Get Book

The Human Face of Big Data by Rick Smolan,Jennifer Erwitt Pdf

The authors invited more than 100 journalists worldwide to use photographs, charts and essays to explore the world of big data and its growing influence on our lives and society.

Big Data Research for Social Sciences and Social Impact

Author : Miltiadis D. Lytras,Anna Visvizi,Kwok Tai Chui
Publisher : MDPI
Page : 416 pages
File Size : 48,6 Mb
Release : 2020-03-19
Category : Technology & Engineering
ISBN : 9783039282203

Get Book

Big Data Research for Social Sciences and Social Impact by Miltiadis D. Lytras,Anna Visvizi,Kwok Tai Chui Pdf

A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Springer Nature
Page : 648 pages
File Size : 49,5 Mb
Release : 2020-12-14
Category : Computers
ISBN : 9783030593384

Get Book

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by Aboul Ella Hassanien,Ashraf Darwish Pdf

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

How Big Data Analytics can shape Corporate Strategy

Author : Gabriel Socha
Publisher : GRIN Verlag
Page : 29 pages
File Size : 45,9 Mb
Release : 2018-08-16
Category : Business & Economics
ISBN : 9783668774629

Get Book

How Big Data Analytics can shape Corporate Strategy by Gabriel Socha Pdf

Essay from the year 2018 in the subject Business economics - Business Management, Corporate Governance, , language: English, abstract: As one of the most trending business topics, Big Data Analytics is having an enormous influence on today’s executives. Big Data Analytics is improving business efficiency and productivity. Besides, big data has become a whole industry, growing at a fast pace. Additionally, innovative business models based on big data are disrupting traditional markets. This essay provides an overview of the topic Big Data Analytics in a business context and explores the dimensions how and under which circumstances companies can build their strategy around those capabilities and what challenges have to be tackled. Furthermore, a case study illustrates how a company, not even 25 years old, could grow into one of the largest corporations worldwide – due to big data.

Big Data Analytics for Internet of Things

Author : Tausifa Jan Saleem,Mohammad Ahsan Chishti
Publisher : John Wiley & Sons
Page : 402 pages
File Size : 46,7 Mb
Release : 2021-04-20
Category : Mathematics
ISBN : 9781119740759

Get Book

Big Data Analytics for Internet of Things by Tausifa Jan Saleem,Mohammad Ahsan Chishti Pdf

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.