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 ...

Disruptive Analytics

Author: Thomas W. Dinsmore

Publisher: Apress

ISBN: 1484213114

Page: 262

View: 957

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 Technology Enhanced Learning

The educational and commercial potential of analytics is considerable, but there
are also problems relating to privacy and the safety of student data (Johnson et al
. 2016, p. 39). Moreover, there are limits to the value of the data, because, ...

Disruptive Technology Enhanced Learning

Author: Michael Flavin

Publisher: Springer

ISBN: 1137572841

Page: 150

View: 274

This book is about how technologies are used in practice to support learning and teaching in higher education. Despite digitization and e-learning becoming ever-increasingly popular in university teaching settings, this book convincingly argues instead in favour of simple and convenient technologies, thus disrupting traditional patterns of learning, teaching and assessment. Michael Flavin uses Disruptive Innovation theory, Activity Theory and the Community of Practice theory as lenses through which to examine technology enhanced learning. This book will be of great interest to all academics with teaching responsibilities, as it illuminates how technologies are used in practice, and is also highly relevant to postgraduate students and researchers in education and technology enhanced learning. It will be especially valuable to leaders and policy-makers in higher education, as it provides insights to inform decision-making on technology enhanced learning at both an institutional and sectoral level.

Big Data Analytics

Cover subtitle: Disruptive technologies for changing the game.

Big Data Analytics

Author: Arvind Sathi

Publisher: Mc PressLlc

ISBN: 9781583473801

Page: 73

View: 799

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.

Multimedia Data Mining and Analytics

Disruptive Innovation Aaron K. Baughman, Jiang Gao, Jia-Yu Pan, Valery A.
Petrushin. The set of stages Imagine, Innovate, and Impact are represented by
the notation i3. The top down approach imagines the future, innovates to achieve
the ...

Multimedia Data Mining and Analytics

Author: Aaron K. Baughman

Publisher: Springer

ISBN: 3319149989

Page: 454

View: 105

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.

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 instruction

Disruptive and Emerging Technology Trends Across Education and the Workplace

Author: Delello, Julie Anne

Publisher: IGI Global

ISBN: 1799829162

Page: 353

View: 359

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.

Big Data Big Analytics

Emerging Business Intelligence and Analytic Trends for Today's Businesses
Michael Minelli, Michele Chambers, Ambiga Dhiraj ... “Disruptive Analytics” The
changing health care landscape is an excellent example of where data science
and ...

Big Data  Big Analytics

Author: Michael Minelli

Publisher: John Wiley & Sons

ISBN: 1118239156

Page: 224

View: 733

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.

The Influences of Big Data Analytics

Therefore, firms could create a void at the lower price points of the market place (
i.e. bottom-of-the-pyramid), hence making it easy for disruptive technologies to
enter (Lewis, 2001). Here, analytics gleaned from big data fits into this concept of

The Influences of Big Data Analytics

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

Publisher: Author House

ISBN: 1496927508

Page: 236

View: 255

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.

Delivering Business Analytics

The Challenge of Disruptive Change Taking advantage of time-based
information and social network information is disruptive innovation at its best.
When the competition follows the same core process, these augmentations can
enable ...

Delivering Business Analytics

Author: Evan Stubbs

Publisher: John Wiley & Sons

ISBN: 1118559444

Page: 368

View: 732

AVOID THE MISTAKES THAT OTHERS MAKE – LEARN WHAT LEADS TO BEST PRACTICE AND KICKSTART SUCCESS This groundbreaking resource provides comprehensive coverage across all aspects of business analytics, presenting proven management guidelines to drive sustainable differentiation. Through a rich set of case studies, author Evan Stubbs reviews solutions and examples to over twenty common problems spanning managing analytics assets and information, leveraging technology, nurturing skills, and defining processes. Delivering Business Analytics also outlines the Data Scientist’s Code, fifteen principles that when followed ensure constant movement towards effective practice. Practical advice is offered for addressing various analytics issues; the advantages and disadvantages of each issue’s solution; and how these solutions can optimally create organizational value. With an emphasis on real-world examples and pragmatic advice throughout, Delivering Business Analytics provides a reference guide on: The economic principles behind how business analytics leads to competitive differentiation The elements which define best practice The Data Scientist’s Code, fifteen management principles that when followed help teams move towards best practice Practical solutions and frequent missteps to twenty-four common problems across people and process, systems and assets, and data and decision-making Drawing on the successes and failures of countless organizations, author Evan Stubbs provides a densely packed practical reference on how to increase the odds of success in designing business analytics systems and managing teams of data scientists. Uncover what constitutes best practice in business analytics and start achieving it with Delivering Business Analytics.

Disruptive Possibilities How Big Data Changes Everything

Hadoop comes with a scheduling capability that enables several diverse forms of
processing across the entire file system. Sometimes that processing is for
analytics, sometimes for transcoding, and sometimes it enables databases and
their ...

Disruptive Possibilities  How Big Data Changes Everything

Author: Jeffrey Needham

Publisher: "O'Reilly Media, Inc."

ISBN: 1449369014

Page: 94

View: 716

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.

Making Human Capital Analytics Work Measuring the ROI of Human Capital Processes and Outcomes

Accidents (Excessive accidents are disruptive and decrease productivity.) 2.
Employee turnover (Excessive turnover is disruptive operationally and increases
costs.) 3. Unplanned absences (Excessive unplanned absences are disruptive, ...

Making Human Capital Analytics Work  Measuring the ROI of Human Capital Processes and Outcomes

Author: Jack Phillips

Publisher: McGraw Hill Professional

ISBN: 0071840621

Page: 320

View: 395

PROVE THE VALUE OF YOUR HR PROGRAM WITH HARD DATA While corporate leaders may well know the value of human capital, they don’t always understand the extent to which the HR function contributes to the bottom line. So when times get tough and business budgets get cut, HR departments often take the first hit. In this groundbreaking guide, the cofounders of ROI Institute, Jack Phillips and Patti Phillips, provide the tools and techniques you need to use analytics to show top decision makers the value of HR in your organization. Focusing on three types of analytics--descriptive, predictive, and prescriptive--Making Human Capital Analytics Work shows how you can apply analytics by: Developing relationships between variables Predicting the success of HR programs Determining the cost of intangibles that are otherwise diffi cult to value Showing the business value of particular HR programs Calculating and forecasting the ROI of various HR projects and programs Much more than a guide to using data collection and analysis, Making Human Capital Analytics Work is a template for spearheading large-scale change in your organization by dramatically influencing your department's overall image within the organization. The authors take you step-by-step through the processes of using hard data to drive decisions and demonstrate the tangible value of HR. You know that your department is more than administrative and transactional--that it's an integral player in your company's strategy. Apply the lessons in Making Human Capital Analytics Work and ensure that all other stakeholders know too.

Lean Analytics

... as well as the relationship with the target market. Initially, this can be
intentionally distant, but as the disruptive product becomes part of the host, the
handoff must be graceful. CHAPTER 30 : LEAN FROM WITHIN:

Lean Analytics

Author: Alistair Croll

Publisher: "O'Reilly Media, Inc."

ISBN: 1449335713

Page: 440

View: 295

Whether you’re a startup founder trying to disrupt an industry or an intrapreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you’ll know it’s time to move forward Apply Lean Analytics principles to large enterprises and established products

Applied Business Analytics

Even though a complete and rigorous DOE is analytically desirable, it might be
too costly or disruptive as a first option. An analytics decider should try to work
within the given business reality and construct a good-enough solution that gives

Applied Business Analytics

Author: Nathaniel Lin

Publisher: FT Press

ISBN: 0133481530

Page: 288

View: 951

Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you've collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you've gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles. You'll discover why a special breed of "analytics deciders" is indispensable for any organization that seeks to compete on analytics… how to become one of those deciders… and how to identify, foster, support, empower, and reward others to join you. Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at all levels: from top-level business questions to low-level technical details. Along the way, you'll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes: How analytical and conventional decision making differ — and the challenging implications How to determine who your analytics deciders are, and ought to be Proven best practices for actually applying analytics to decision-making How to optimize your use of analytics as an analyst, manager, executive, or C-level officer Applied Business Analytics will be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics, including Chief Analytics Officers, Chief Data Officers, Chief Scientists, Chief Marketing Officers, Chief Risk Officers, Chief Strategy Officers, VPs of Analytics and/or Big Data, data scientists, business strategists, and line of business executives. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program, including candidates for INFORMS certification.

AI and Big Data s Potential for Disruptive Innovation

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 ...

AI and Big Data   s Potential for Disruptive Innovation

Author: Strydom, Moses

Publisher: IGI Global

ISBN: 1522596895

Page: 405

View: 559

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.

Using Person Centered Health Analytics to Live Longer

I thank disruptive thinkers including Eric Topol, who demonstrated in his book,
The Creative Destruction of Medicine, how people can take more control of their
health through the digital transformation of medicine; and Clayton Christensen et
al ...

Using Person Centered Health Analytics to Live Longer

Author: Dwight McNeill

Publisher: FT Press

ISBN: 0133890147

Page: 384

View: 734

The American way of producing health is failing. It continues to rank very low among developed countries on our most vital need…to live a long and healthy life. Despite the well-intentioned actions on the part of government, life sciences, and technology, the most important resource for achieving our full health potential is ourselves. This book is about how you can do so, and how others can help you. Dwight McNeill introduces person-centered health analytics (pchA) and shows how you can use it to master five everyday behaviors that cause and perpetuate most chronic diseases. Using Person-Centered Health Analytics to Live Longer combines deep insight, a comprehensive framework, and practical tools for living longer and healthier lives. It offers a clear path forward for both individuals and stakeholders, including providers, payers, health promotion companies, technology innovators, government, and analytics practitioners.

Challenges of Implementing Artifical Intelligence Related Services What Enhancing and Inhibiting Factors Need to be Addressed by Consultancies

Software and technology-based analytics and tools that can be embedded at a
client, have the potential to provide ... whether the service innovation of Artificial
Intelligence is from the view of consultancies competence disruptive or not.
Nissen ...

Challenges of Implementing Artifical Intelligence Related Services  What Enhancing and Inhibiting Factors Need to be Addressed by Consultancies


Publisher: GRIN Verlag

ISBN: 3346003302

Page: 33

View: 242

Master's Thesis from the year 2019 in the subject Business economics - Miscellaneous, grade: 2,0, VU University Amsterdam , language: English, abstract: This thesis seeks to explore the enhancing and inhibiting factors consultancies have to address when implementing services related to artificial intelligence. To address the discussion of current research, whether AI is an enhancing or a disruptive innovation, the author compares the answers to the research question with existing literature on service innovation. He aims to show whether AI requires a different innovation process than other service innovations. Firstly, the literature review addresses the theoretical background of this study by discussing literature on service innovation capabilities. Hereby, in particular, the factors that are associated to contribute as enhancing factors. Secondly, the methods section outlines the approach of the research design, data collection and data analysis. Thirdly, in the results section, the results of the study are presented, compared with the existing literature and placed in the discussion of the existing literature. Finally, in the discussion section, the results, their implications for service innovation theory and consultancies in practise are discussed. The research concludes with its limitations and the potential areas for future research.

The New HR Analytics

Predicting the EconomicValue of Your Company's Human Capital Investments
Jac FITZ-ENZ. I P A R T 1 Introduction to Predictive Analytics This page
intentionally left blank Disruptive Technology: The Power to PART ONE:

The New HR Analytics

Author: Jac FITZ-ENZ

Publisher: AMACOM

ISBN: 0814416446

Page: 368

View: 368

In his landmark book The ROI of Human Capital, Jac Fitz-enz presented a system of powerful metrics for quantifying the contributions of individual employees to a company’s bottom line. The New HR Analytics is another such quantum leap, revealing how to predict the value of future human capital investments. Using Fitz-enz’s proprietary analytic model, readers learn how to measure and evaluate past and current returns. By combining those results with focused business intelligence and applying the exclusive analytical tools in the book, they will be able to: Evaluate and prioritize the skills needed to sustain performance • Build an agile workforce through flexible Capability Planning • Determine how the organization can stimulate and reward behaviors that matter • Apply a proven succession planning strategy that leverages employee engagement and drives top-line revenue growth • Recognize risks and formulate responses that avoid surprises • Support decision making by predicting the actions that will yield the best returns Brimming with real-world examples and input from thirty top HR practitioners and thought leaders, this groundbreaking book ushers in a new era in human resources and human capital management.

The Disruptive Substitution of Human Capital by IT

Hence, disruption makes past-oriented statistics a second best guess of what to
expect in future but suggests a rather simulation-based approach validated by
expert opinion. Therefore, we take a look at the contemporary study and
analytical ...

The Disruptive Substitution of Human Capital by IT

Author: Peter Weber

Publisher: GRIN Verlag

ISBN: 3668491054

Page: 59

View: 977

Master's Thesis from the year 2017 in the subject Business economics - Economic Policy, grade: 2, , language: English, abstract: In the course of the last century the economy experienced a gradual shift from the primary and secondary to the tertiary sector. With the emergence of disruptive IT the service sector’s traditional barriers are experiencing a fundamental erosion. In this context “disruptive IT” stands for big data, predictive analytics, machine learning and artificial intelligence. The overall hypothesis this thesis seeks to verify is “disruptive IT will substitute human capital to an extent that will irreversibly materialize in an unprecedented technological rate of unemployment”. The investigation commences with an analysis of unemployment statistics and a trend analysis over the last decades with the objective to reveal what could be perceived as technological hike of the natural rate of unemployment. It will be shown that historical data yet does not provide sufficient evidence to become scientifically convinced about the hypothesis laid out before . This does not come with surprise given the disruptive nature of recent IT advances which have yet only moderately started to unfold their full potential. Hence, disruption makes past-oriented statistics a second best guess of what to expect in future but suggests a rather simulation-based approach validated by expert opinion. Therefore, we take a look at the contemporary study and analytical model of the Oxford researchers Carl B. Frey and Michael A. Osborne followed by the criticism of their criteria-based outside-in assessment on behalf of the Organisation for Economic Co-operation and Development (OECD). Next part of the discussion is the analysis of a recent report by the World Economic Forum (WEF) based on a self-assessment of industries’ opinion leaders and field matter experts captured via means of employer survey. Finally, both the common denominator of as well as the key separators between the discussed material get consolidated and interpreted – with the distinction of the latter into those that arise out of methodological heterogeneity in contrast to those which relate to results and conclusions. It’s not academics’ primary concern to make predictions and surely not part of their routine tasks. This master thesis wants to make a contribution to the way policymakers, employers and employees as well as the society as a whole shape the future and to serve with quantified substance as facilitator in nudging science to expand the comfort zone and rethink the frontiers of academically serious work.

Disruptive Procurement

Disruptive Procurement is a radical new approach to creating value and innovation by challenging the status quo in the entire product and service line.

Disruptive Procurement

Author: Michael F. Strohmer

Publisher: Springer Nature

ISBN: 3030389502

Page: 122

View: 996

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.

Mapping Innovation A Playbook for Navigating a Disruptive Age

It encompassed four key functional areas (data, analytics, decisions, and delivery
) across four key verticals (financial services, retail, telecom, and automotive).
The firm also saw a great opportunity to use its data and analytical capabilities to

Mapping Innovation  A Playbook for Navigating a Disruptive Age

Author: Greg Satell

Publisher: McGraw Hill Professional

ISBN: 1259862240

Page: 240

View: 337

Map the innovation space—and blaze a path to profits and growth Countless books, articles, and other advice promise leaders solutions to the complex challenges they face. Some offer quick, silver-bullet remedies—a straight line to success!—and some are so technical that readers get lost before they begin. Now, there’s Mapping Innovation, a refreshing alternative in the crowded business innovation space. Engaging and informative without sacrificing substance and expertise, this groundbreaking guide provides thorough background on some of the greatest innovations of the past century as well as . It details the processes that advanced them from inception to world-changing products—and shows you how to replicate their success. Business innovation expert Greg Satell helps you find your way by revealing the four models of innovation: Basic Research, Breakthrough Innovation, Sustaining Innovation, and Disruptive Innovation. One size does not fit all, so he provides a framework—the Innovation Matrix—for discovering which “type” of innovation process best suits the problem you need to solve. It’s about asking the right questions, so that you can apply the right strategies to the problems you need to solve. In the end, you’ll have a crystal clear model for disrupting the marketplace, scaling your efforts to propel your enterprise forqward, and leverage digital platforms to your advantage. Mapping Innovation offers a simple and accessible but powerful approach to developing a strategy that will put you light years ahead of the competition!.

The Healthcare Mandate How to Leverage Disruptive Innovation to Heal America s Biggest Industry

This growing flood of data has a name: the healthcare analytics market. It's the
collection of data from all sources that's bought and sold and then subjected to
analytical analysis, resulting in improved and efficient healthcare services.

The Healthcare Mandate  How to Leverage Disruptive Innovation to Heal America   s Biggest Industry

Author: Nicholas Webb

Publisher: McGraw Hill Professional

ISBN: 1260468135

Page: 240

View: 187

A top healthcare futurist and consultant shows healthcare professionals and stakeholders how to redirect resources and leverage innovation to improve wellness and lower costs. Despite being the wealthiest nation on earth, the United States spends much of its healthcare money and resources pursuing the wrong goal: curing people after they get sick. In this provocative book, Nicholas J. Webb charts a bold new path that puts the focus not on reactionary treatment but on anticipation and prevention. Webb argues that we have a unique opportunity to leverage disruptive innovation to fulfill these goals. Emerging digital technologies now make it possible to collect, analyze, and act upon the enormous quantities of health-related data that every individual generates every day. This data often foreshadows disease and can alert the healthcare provider to the existence of a life-threatening condition before there are any outward symptoms, thereby enabling caregivers to pivot from treatment after the fact to anticipation, prevention, and, when necessary, reduced treatment to correct a smaller problem. This is The Healthcare Mandate—a powerful and illuminating guide to the new tools that healthcare professionals can start using right now to: See their clients not only as patients to be cured but as constituents to keep healthy. Identify and respond to emerging health problems as early as possible. Access and share constituent data with other healthcare providers. Navigate the increasingly complex world of patient data rights. Meet the challenge of non-medical online healthcare providers. Address constituent lifestyle choices that lead to obesity, diabetes, and heart disease. Respond to the increasing consumerization of healthcare. Drawing upon his decades of experience as an industry expert with dozens of medical patents, Webb offers a positive and achievable vision for the future of healthcare.