Disruptive Analytics

Disruptive Analytics

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 ...

Author: Thomas W. Dinsmore

Publisher: Apress

ISBN: 9781484213117

Category: Computers

Page: 262

View: 135

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.
Categories: Computers

Big Data Analytics

Big Data Analytics

Cover subtitle: Disruptive technologies for changing the game.

Author: Arvind Sathi

Publisher: Mc PressLlc

ISBN: 1583473807

Category: Computers

Page: 73

View: 230

Bringing a practitioner’s view to big data analytics, this work examines the drivers behind big data, postulates a set of use cases, identifies sets of solution components, and recommends various implementation approaches. This work also addresses and thoroughly answers key questions on this emerging topic, including What is big data and how is it being used? How can strategic plans for big data analytics be generated? and How does big data change analytics architecture? The author, who has more than 20 years of experience in information management architecture and delivery, has drawn the material from a large breadth of workshops and interviews with business and information technology leaders, providing readers with the latest in evolutionary, revolutionary, and hybrid methodologies of moving forward to the brave new world of big data.
Categories: Computers

Disruptive and Emerging Technology Trends Across Education and the Workplace

Disruptive and Emerging Technology Trends Across Education and the Workplace

Analytics has not had the transformative and disruptive impact on education as it has had in other fields of work. This chapter will explore the groundbreaking potential of Targeted Online Learner Analytics (TOLA) in the design of ...

Author: Delello, Julie Anne

Publisher: IGI Global

ISBN: 9781799829164

Category: Business & Economics

Page: 353

View: 288

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.
Categories: Business & Economics

Big Data Big Analytics

Big Data  Big Analytics

We believe there is an opportunity to drive competitive advantage for our LS clients by creating a robust analytics capability and harnessing integrated real-world patient level data. “Disruptive Analytics” The changing health care ...

Author: Michael Minelli

Publisher: John Wiley & Sons

ISBN: 9781118147603

Category: Business & Economics

Page: 224

View: 825

Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.
Categories: Business & Economics

AI and Big Data s Potential for Disruptive Innovation

AI and Big Data   s Potential for Disruptive Innovation

Diagnostic Analytics is sometimes combined with Descriptive Analytics with some researchers even calling it a step 1.5 before the next phase (Markkanen, 2015). This is because it is the most abstract of the phases: an explorative step ...

Author: Strydom, Moses

Publisher: IGI Global

ISBN: 9781522596899

Category: Computers

Page: 405

View: 475

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.
Categories: Computers

Analytics in the Age of Artificial Intelligence The Why and the How of Using Analytics to Unleash the Power of Artificial Intelligence

Analytics in the Age of Artificial Intelligence  The Why and the How of Using Analytics to Unleash the Power of Artificial Intelligence

Disruptive Analytics. Apress. Domo. 2019. “Data Never Sleeps 7.0.” Domo.com. 07. https://web-assets.domo.com/blog/wpcontent/uploads/2019/07/data-never-sleeps-7-896kb.jpg. Dweck, Carol. 2007. Mindset: The New Psychology of Success.

Author: Priyo Chatterjee

Publisher: Atlantic Publishing Company

ISBN: 9781620237694

Category: Technology & Engineering

Page: 244

View: 962

Artificial Intelligence is a significant development in the technological landscape, and it is poised to be a veritable game-changer for all concerned. Given globalization and the winner-take-all market dynamics, there is a “superstar” effect at play in most markets, where a select few companies capture a lion’s share of the market, as well as the profit. Given this environment, Analytics goes from becoming a “good to have” to a “must have” if organizations are to take this opportunity to leverage the power of artificial intelligence and other adjacent technologies in an impactful manner. In this book, Priyo Chatterjee, drawing on his years of experience in the Analytics and Data Science space, takes a methodical approach to Analytics by first demonstrating why it has become so critical in “The Age of Artificial Intelligence.” Then he shows how companies can become more Analytical and, thereby, successful in deploying artificial intelligence strategies.
Categories: Technology & Engineering

Advanced Business Analytics

Advanced Business Analytics

In vulnerability analysis, the ability to both characterize a range of disruption events and evaluate the impact of a specific set of disruption events perceived to be important is essential for managers to mitigate vulnerability of ...

Author: Fausto Pedro García Márquez

Publisher: Springer

ISBN: 9783319114156

Category: Business & Economics

Page: 243

View: 442

The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management. Each chapter of the book is contributed by a different author and covers a different area of business analytics. The book connects the analytic principles with business practice and provides an interface between the main disciplines of engineering/technology and the organizational, administrative and planning abilities of management. It also refers to other disciplines such as economy, finance, marketing, behavioral economics and risk analysis. This book is of special interest to engineers, economists and researchers who are developing new advances in engineering management but also to practitioners working on this subject.
Categories: Business & Economics

The Influences of Big Data Analytics

The Influences of Big Data Analytics

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.

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

Publisher: Author House

ISBN: 9781496927507

Category: Computers

Page: 236

View: 578

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.
Categories: Computers

Disruptive Technologies

Disruptive Technologies

Facebook 1, 60, 105,107, 149 analytics for 94 disruptive tech, as an example of 12 Facebook Ads 95 Facebook Graph 77 Facebook Groups 169 Facebook IQ 77 Facebook Live 105 'fail fast' mentality 70 'GAFA' 191, 193 'M' 7, 19 risk management ...

Author: Paul Armstrong

Publisher: Kogan Page Publishers

ISBN: 9780749477295

Category: Business & Economics

Page: 216

View: 419

Disruptive Technologies outlines the steps businesses can take to engage with emerging technologies today in order to serve the consumer of tomorrow. This book offers the knowledge and tools to engage confidently with emerging technologies for better business. This highly practical book offers organizations a distinct response to emerging technologies including Blockchain (Bitcoin), artificial intelligence, graphene and nanotechnology (among others) and other external factors (such as the sharing economy, mobile penetration, millennial workforce, ageing populations) that impact on their business, client service and product model. Disruptive Technologies provides a clear roadmap to assess, respond to and problem-solve: what are the upcoming changes in technology, roughly when to respond, and what's the best response? By using a quick-to-master evaluation and decision-making framework - structured around the key dimensions of Technology, Behaviour and Data (TBD). Emerging technologies guru Paul Armstrong offers a clear guide to the key disruptive technologies and a toolbox of frameworks, checklists, and activities to evaluate their possibilities. Disruptive Technologies enables forecasting of potential scenarios, implementation of plans, alternative strategies and the ability to handle change more effectively within an organization. The essential tool for all professionals who need to get to grips with emerging technologies fast and strategically.
Categories: Business & Economics

Engineering Analytics

Engineering Analytics

In this way, the main contribution of this work is the application of data analytics techniques in a real case of a country that has important challenges in terms of logistics and vulnerability related to disruptive events.

Author: Luis Rabelo

Publisher: CRC Press

ISBN: 9781000453768

Category: Technology & Engineering

Page: 282

View: 472

Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.
Categories: Technology & Engineering

Multimedia Data Mining and Analytics

Multimedia Data Mining and Analytics

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors.

Author: Aaron K. Baughman

Publisher: Springer

ISBN: 9783319149981

Category: Computers

Page: 454

View: 495

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization.
Categories: Computers

Encyclopedia of Business Analytics and Optimization

Encyclopedia of Business Analytics and Optimization

Once the hazard, vulnerability, and risk management practice scores are estimated, the disruption risk score for each ... analysis can then be done to determine the best mitigation strategy to use for a particular disruptive event.

Author: Wang, John

Publisher: IGI Global

ISBN: 9781466652033

Category: Business & Economics

Page: 2754

View: 248

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.
Categories: Business & Economics

The Golden Age of Data

The Golden Age of Data

analytics, including: audience as an essential element in analytics, defining media analytics, analysis and analytic tools, measurements and ... Disruptive analytics: Charting your strategy for next-generation business analytics.

Author: Don Grady

Publisher: Routledge

ISBN: 9781000721720

Category: Language Arts & Disciplines

Page: 278

View: 579

Audience and media analytics is more important now than ever, and this latest volume in the cutting-edge BEA Electronic Media Research Series collects some of the top scholars working with big data and analytics today. These chapters describe the development and help define media analytics as an academic discipline and professional practice. Understanding audiences is integral to creating and distributing media messages and the study of media analytics requires knowing a range of skills including research methods, the necessary tools available, familiarity with statistical procedures, and a mindset to provide insights and apply findings. This book summarizes the insights of analytics practitioners regarding the current state of legacy media analysis and social media analytics. Topics covered include the evolution of media technologies, the teaching of media measurement and analytics, the transition taking place in media research, and the use of media analytics to answer meaningful questions, drive content creation, and engage with audiences.
Categories: Language Arts & Disciplines

Statistical Modelling and Sports Business Analytics

Statistical Modelling and Sports Business Analytics

How data analytics is revolutionizing sports. Available at: https://biztechmagazine.com/article/2018/12/how-data-analytics-revolutionizing-sports [Accessed 11 November 2019]. Nair, R. (2019). Decoding AI's disruptive role in sports ...

Author: Vanessa Ratten

Publisher: Routledge

ISBN: 9781000072150

Category: Business & Economics

Page: 176

View: 266

This book introduces predictive analytics in sports and discusses the relationship between analytics and algorithms and statistics. It defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use of predictive analytics includes knowing what they are incapable of doing as well as the role of predictive analytics in the bigger picture of sports entrepreneurship, innovation, and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models and illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book targets readers who already have working knowledge of location, dispersion, and distribution statistics, bivariate relationships (scatter plots and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge of predictive analytics in sports.
Categories: Business & Economics

Big Data Analytics

Big Data Analytics

This point-of-sale information has traditionally been used by retailers for shopping basket analysis and stock ... The financial sector has seen how Big Data and its associated analytics can have a disruptive impact on business.

Author: Frank Ohlhorst

Publisher: John Wiley & Sons

ISBN: 9781118147597

Category: Business & Economics

Page: 160

View: 205

Takes an in-depth look at the financial value of big data analytics and offers tools and best practices for working with big data. Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries.
Categories: Business & Economics

Handbook of Research on Driving Competitive Advantage through Sustainable Lean and Disruptive Innovation

Handbook of Research on Driving Competitive Advantage through Sustainable  Lean  and Disruptive Innovation

Data Analytics and Data Visualization provider. (2015). ... Möslein, K. M., & Neyer, A. K. Disruptive Innovation. ... Data Science for Business: What you need to know about data mining and data-analytic thinking.

Author: Al-Hakim, Latif

Publisher: IGI Global

ISBN: 9781522501367

Category: Business & Economics

Page: 743

View: 713

The global market is constantly evolving and it has become essential for organizations to employ new methods of appealing to customers in order to stay abreast on current trends within the world economy. The Handbook of Research on Driving Competitive Advantage through Sustainable, Lean, and Disruptive Innovation features theoretical development and empirical research in social media platforms, internet usage, big data analytics, and smart computing, as well as other areas of organizational innovation. Highlighting implementation challenges facing innovative processes, this publication is a critical reference source for researchers, students, professionals, managers, and decision makers interested in novel strategies being employed by organizations in an effort to improve their standings on the global market.
Categories: Business & Economics

Ending Status Quo The Path and Process of Disruptive Marketing

Ending Status Quo  The Path and Process of Disruptive Marketing

... an e-commerce business analyzing customer buying behavior, data analysis plays a huge role in brand disruption. Here's why: companies are just now scratching the surface of data analytics, using both unstructured and structured data ...

Author: Neeraj Singh Rathore

Publisher: Notion Press

ISBN: 9781947634381

Category:

Page:

View: 723

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Unstructured Data Analytics

Unstructured Data Analytics

Leading companies are disrupting their product and services development thanks to UDA; and there were four key factors that enable the power of UDA in product and services development: ◾ Intersection between analytics and innovation ...

Author: Jean Paul Isson

Publisher: John Wiley & Sons

ISBN: 9781119129752

Category: Computers

Page: 432

View: 773

Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.
Categories: Computers

The Five Technological Forces Disrupting Security

The Five Technological Forces Disrupting Security

IoT may prove to be disruptive in one of two ways: data analytics or the broader success of DIY products. There is a big opportunity to harvest and add value to IoT sensor and device data streams. Manufacturing and deploying connected ...

Author: Steve Van Till

Publisher: Butterworth-Heinemann

ISBN: 9780128050965

Category: Social Science

Page: 244

View: 305

The Five Technological Forces Disrupting Security: How Cloud, Social, Mobile, Big Data and IoT are Transforming Physical Security in the Digital Age explores the major technological forces currently driving digital disruption in the security industry, and what they foretell for the future. The book provides a high-level perspective on how the industry is changing as a whole, as well as practical guidance on how to incorporate these new technologies to create better security solutions. It also examines key questions on how these new technologies have lowered barriers for new entrants in the field and how they are likely to change market dynamics and affect customer choices. Set in the context of one of the early dot.com companies to enter physical security, the narrative is written for professionals from Chief Security Officers and systems integrators to product managers and investors. Explores the five major technological forces driving digital change in commercial security Shows practitioners how to align security strategies with these inevitable changes Examines how the consumerization of security will change the vendor playing field Illustrates how security professionals can leverage these changes in their own careers Provides an adoption scorecard that ranks trends and timeline for impact
Categories: Social Science

Disruptive Procurement

Disruptive Procurement

Analytics. In many categories, procurement teams face frequent commodity price volatility, for instance for raw materials needed for production. Now, companies can make better pricing forecasts with digital tools that analyze historical ...

Author: Michael F. Strohmer

Publisher: Springer Nature

ISBN: 9783030389505

Category: Business & Economics

Page: 122

View: 831

Disruptive Procurement is a radical new approach to creating value and innovation by challenging the status quo in the entire product and service line. It requires going far beyond conventional desktop procurement to understand the value the company brings to its customers as well as the value that suppliers bring to the company. By combining knowledge of these two dimensions, companies become far more flexible and they move closer to disrupting the environment in ways that create value. To move toward Disruptive Procurement, companies need a holistic view and a complete new set of capabilities for staff in marketing, sales, R&D, manufacturing, innovation, and, of course, procurement. This will only happen if procurement is fully backed by the Chief Executive Officer and companies embrace digital tools that will help make procurement slimmer and smarter.
Categories: Business & Economics