Disruptive Analytics
Disruptive Analytics

Author: Thomas W. Dinsmore

Publisher: Apress

Published: 2016-08-27

Total Pages: 276

ISBN-13: 1484213114

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Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants.

Disruptive Platforms
Disruptive Platforms

Author: Tymoteusz Doligalski

Publisher: Routledge

Published: 2021-12-20

Total Pages: 186

ISBN-13: 1000530809

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It has taken platforms only twenty years to become digital economy hubs. They have changed markets, enterprises, and society. They have expedited communication, collaboration, and trade for consumers, winning their attention and collecting their data. In doing so, they have made processes, products, and industries obsolete, and disrupted the expectations and behaviours of market players. This raises the question, are digital platforms global innovators or disruptive monopolists? Are they a solution to problems of the past or emissaries of a problematic future? This book provides a multi-faceted approach to platforms and their profound impact on markets and ecosystems. Economic, managerial, social, and political aspects are analysed, and the differentiation of platforms and their disruptive potential is reviewed. The book also examines the mechanism of achieving a monopolistic position, including in the international supply chain, and the greater influence of platforms on political activity and contemporary democracy. With examples from Poland, USA, and China, the contributions offer an international evaluation of disruptive platforms across a multitude of industries. The edited collection, prepared by scholars from the SGH Warsaw School of Economics, will be valuable to researchers and academics across the fields of strategic management, marketing, innovations, international business, and the digital economy.

AI and Big Data’s Potential for Disruptive Innovation
AI and Big Data’s Potential for Disruptive Innovation

Author: Strydom, Moses

Publisher: IGI Global

Published: 2019-09-27

Total Pages: 405

ISBN-13: 1522596895

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Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

Big Data Analytics
Big Data Analytics

Author: Arvind Sathi

Publisher:

Published: 2012

Total Pages: 0

ISBN-13: 9781583473801

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Cover subtitle: Disruptive technologies for changing the game.

Disruptive Technologies in International Business
Disruptive Technologies in International Business

Author: Alka Maurya

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2023-07-24

Total Pages: 134

ISBN-13: 3110734222

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New technologies such as artificial intelligence, blockchain, the Internet of Things (IoT), etc. are redefining business processes around the world at a rapid rate and resulting in both great opportunities and challenges for businesses. Though these technologies are extensively being used in developed countries, emerging economies are also not far behind. Disruptive Technologies in International Business advances the understanding of technological applications in business within an international paradigm. With its in-depth discussions of diverse topics such as the global value chain (GVC), environmental risk management, IoT, Surface Mobility, and anime, the book argues that technologies offer many advantages but there are accompanying risks, challenges, and disadvantages as well. The need of the hour is to address the impact of these technologies on the environment, society, and economy of the world. This book offers a collage of insights on how these technologies can potentially change the playing field in businesses and countries and contribute to the betterment of society. This book will provide business practitioners, international organizations, government officials, and policy makers with inspiration and new leads toward more efficient systems, policies, and operational frameworks in our increasingly technology-driven society.

Disruptive Marketing
Disruptive Marketing

Author: Geoffrey Colon

Publisher: AMACOM

Published: 2016-08-09

Total Pages: 268

ISBN-13: 0814437400

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With 75 percent of screen time being spent on connected devices, digital strategies have moved front and center of marketing plans. Getting a message through to customers, and not just in front of them for a second before being thrown away, requires radical rethinking. What if that’s not enough? How often does consumer engagement go further than the “like” button? With the average American receiving close to 50 phone notifications a day, do the company messages get read or just tossed aside? The reality is that technology hasn’t just reshaped mass media; it’s altering behavior as well. Disruptive Marketing challenges you to toss the linear plan, strip away conventions, and open your mind as it takes you on a provocative, fast-paced tour of our changing world, where you’ll find that: Selling is dead, but ongoing conversation thrives Consumers generate the best content about brand People tune out noise and listen to feelings Curiosity leads the marketing team Growth depends on merging analytics with boundless creativity Packed with trends, predictions, interviews with big-think marketers, and stories from a career spent pushing boundaries, Disruptive Marketing is the solution you’ve been looking for to boost your brand into new territory!

The Influences of Big Data Analytics
The Influences of Big Data Analytics

Author: Dr. Joseph Aluya, D.B.A.

Publisher: Author House

Published: 2014-09-05

Total Pages: 239

ISBN-13: 1496927508

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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.

Disruptive Possibilities: How Big Data Changes Everything
Disruptive Possibilities: How Big Data Changes Everything

Author: Jeffrey Needham

Publisher: "O'Reilly Media, Inc."

Published: 2013-05-06

Total Pages: 94

ISBN-13: 1449369014

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Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies. Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them. Replacing legacy silos—whether they’re infrastructure, organizational, or vendor silos—with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.

Disruptive and Emerging Technology Trends Across Education and the Workplace
Disruptive and Emerging Technology Trends Across Education and the Workplace

Author: Delello, Julie Anne

Publisher: IGI Global

Published: 2020-03-06

Total Pages: 353

ISBN-13: 1799829162

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Advancing technologies are rapidly modifying the current state of business and society causing an expansion of possible career opportunities. In order to stay competitive, institutions of education must provide an emphasis on the wide-range of skills and experiences needed to contribute to a 21st century workforce. As new technologies emerge and even disrupt, there will be a demand for new forms of education and deeper learning. Disruptive and Emerging Technology Trends Across Education and the Workplace is a collection of innovative research on the latest instructive methods being utilized in classrooms and organizations as well as the benefits and challenges of adopting these technologies. While highlighting topics including mobile learning, augmented reality, and cryptocurrencies, this book is ideally designed for developers, professionals, educators, managers, researchers, scientists, stakeholders, strategists, practitioners, and students seeking current research on new forms of educational techniques in relation to the continued application of new technologies in the workplace.

SAP OpenUI5 for Mobile BI and Analytics
SAP OpenUI5 for Mobile BI and Analytics

Author: Raquel Seville

Publisher: Espresso Tutorials GmbH

Published: 2017

Total Pages: 241

ISBN-13: 3960122179

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The increased adoption of HTML5 has created the opportunity for developers to build applications that work seamlessly across multiple devices and browsers. This expert guide covers the foundations of CSS, HTML5 and jQuery, as well as a broad range of topics from design thinking, testing, optimization, security, graphs, maps and databases. All of these help you to build a seamless mobile business intelligence (SAP BI) app using HTML5, leveraging the cohesiveness of SAP OpenUI5. Explore why design thinking should sit at the core of your mobile application. Compare and contrast using native versus web-based applications. Explore the tools available to develop mobile apps, as well as easily write HTML5 code from scratch. Learn how to create a reusable skeleton code framework that you can leverage on future projects, as well as how to build web apps using SAP OpenUI5. Explore considerations for an effective security and privacy strategy. Acquire best practices on how to test and enhance your HTML5 site by enabling compression, caching, and optimizing your images. In addition to practice exercises, this book includes free sample layout options for different mobile devices and an OpenUI5 Starter Kit. By using practical examples, tips, and screenshots, the author brings the building of mobile BI apps to life. - Delve into the foundations of CSS, HTML5, and jQuery - Learn how to build a seamless mobile BI app using SAP OpenUI5 - Use open source library d3.js to create custom data visualizations for bar, line, and pie charts - Build web apps using real world scenarios and test layout options for different mobile devices