Big Data Big Innovation


Big Data Big Innovation
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Big Data Big Innovation


Big Data Big Innovation
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Author : Evan Stubbs
language : en
Publisher:
Release Date : 2014

Big Data Big Innovation written by Evan Stubbs and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with BUSINESS & ECONOMICS categories.


This book details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth. Topics include: building an effective analytics team, and empowering them with the right tools; learning how big data drives both evolutionary and revolutionary innovation, and who should be responsible; identifying data collection and analysis opportunities and implementing action plans; designing the platform that suits your company's current and future needs; quantifying performance with statistics, programming, and research for a more complete picture of operations. --



Big Data Big Innovation


Big Data Big Innovation
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Author : Evan Stubbs
language : en
Publisher: John Wiley & Sons
Release Date : 2014-07-21

Big Data Big Innovation written by Evan Stubbs and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-21 with Business & Economics categories.


A practical guide to leveraging your data to spur innovation and growth Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth – you just need the proper analytics. In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in your un-mined data. As Chief Analytics Officer for SAS Australia/New Zealand, Stubbs brings an industry insider's perspective to guide you through pattern recognition, analysis, and implementation. Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth. Build an effective analytics team, and empower them with the right tools Learn how big data drives both evolutionary and revolutionary innovation, and who should be responsible Identify data collection and analysis opportunities and implement action plans Design the platform that suits your company's current and future needs Quantify performance with statistics, programming, and research for a more complete picture of operations Effective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics can show you how to use what you already have and acquire what you need to succeed.



Big Data Big Innovation Enabling Competitive Differentiation Through Business


Big Data Big Innovation Enabling Competitive Differentiation Through Business
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Author : Evan Stubbs
language : en
Publisher: CreateSpace
Release Date : 2014-09-26

Big Data Big Innovation Enabling Competitive Differentiation Through Business written by Evan Stubbs and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-26 with Big data categories.


Ignoring the big data hype and diving right into the value proposition, Big Data, Big Innovation takes a long, hard look at making sure that businesses don't stray off course when chasing innovation. It focuses on real-world goals, strategies that will help meet those goals, and a locked-down adherence to seeking value at all times. It provides the requisite knowledge for visionary leaders to create real change by cultivating the right culture, making sure technology becomes an enabler rather than an inhibitor, putting together and retaining the right teams, defining the corporate vision for evolutionary and revolutionary uses of data analytics, and seizing opportunities that can put businesses on the fast track to innovation and success. This comprehensive guide to big data and innovation will help your organization: Hire the right people and empower them with the right culture and motivation Define the right reporting lines and organizational structure Learn how big data drives both evolutionary and revolutionary innovation and who should be responsible Merge the agility of a start-up with the scale of a blue-chip "This book is a comprehensive look at the tidal wave of change that big data is driving across the globe. It is a must read practical guide for key decision makers in the big data space. Once again Evan has done an excellent job demystifying the 'How to' challenge that every organisation is facing today." Mark Steyn, CEO Asia Pacific, Hudson "Big Data, Big Innovation joins an exclusive club as one of the very few practical guides to analytics for the business person. This is a book to keep by your side as you build capability and the confidence to go out and do it for yourself. Load it on to your ebook now. You're going to need it." Steve Bennett, Head of Analytics and Information Management, News Corporation "Evan explores the intersection of two of the biggest corporate game changers of our generation: the increasingly burgeoning amount of information available and the strategy shift from a fixation on operational performance to business innovation." Doug Laney, VP Information Innovation, Gartner "Evan Stubbs' new book provides great insight into driving innovation through the sea of Big Data and Business Analytics. He captures some of the key trends in this emerging area for organizational success. Don't miss out!" Jay Liebowitz, Orkand Endowed Chair in Management and Technology, University of Maryland University College; editor of the book, Big Data and Business Analytics "Brilliant and scintillating read, peppered with pragmatic doses of analytical insights ... the rise of the new age analytics worker, the cataclysmic shift in company culture and mindset coupled with nimble operating models have become the raison d'etre for analytics success. Evan's ability to weave together a confluence of factors into a coherent and clear framework for organizations embarking on this journey makes it a remarkable read." Rahul Bhandari, Chief Analytics Officer, Cathay Pacific Asia Miles "Big Data, Big Innovation highlights why we need to play "big league" Business Analytics - Evan makes a compelling case for why organisations need to be Analytics-enabled by design." Professor Dineli Mather, Head of School of School of Information & Business Analytics, Deakin University "Analytics as a Business Function is well accepted as an enabler for disruption and competitive advantage at a Department level, and is now trying to find its way as a permanent agenda item in C-level discussions. The organisations who recognise only this are, at best, in the middle of the pack ... this book elegantly captures this Zeitgeist in a way that serves as both a comprehensive framework for the late starters and robust checkpoint for the early adopters."



Big Data And Innovation In Tourism Travel And Hospitality


Big Data And Innovation In Tourism Travel And Hospitality
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Author : Marianna Sigala
language : en
Publisher: Springer
Release Date : 2019-02-26

Big Data And Innovation In Tourism Travel And Hospitality written by Marianna Sigala and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-26 with Business & Economics categories.


This book brings together multi-disciplinary research and practical evidence about the role and exploitation of big data in driving and supporting innovation in tourism. It also provides a consolidated framework and roadmap summarising the major issues that both researchers and practitioners have to address for effective big data innovation. The book proposes a process-based model to identify and implement big data innovation strategies in tourism. This process framework consists of four major parts: 1) inputs required for big data innovation; 2) processes required to implement big data innovation; 3) outcomes of big data innovation; and 4) contextual factors influencing big data exploitation and advances in big data exploitation for business innovation.



The Elements Of Big Data Value


The Elements Of Big Data Value
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Author : Edward Curry
language : en
Publisher: Springer Nature
Release Date : 2021-08-01

The Elements Of Big Data Value written by Edward Curry and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-01 with Computers categories.


This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.



Data Driven Innovation Big Data For Growth And Well Being


Data Driven Innovation Big Data For Growth And Well Being
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2015-10-06

Data Driven Innovation Big Data For Growth And Well Being written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-06 with categories.


This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.



Big Data


Big Data
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Author :
language : en
Publisher:
Release Date : 2011

Big Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Competition, International categories.




Ai And Big Data S Potential For Disruptive Innovation


Ai And Big Data S Potential For Disruptive Innovation
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Author : Strydom, Moses
language : en
Publisher: IGI Global
Release Date : 2019-09-27

Ai And Big Data S Potential For Disruptive Innovation written by Strydom, Moses and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.


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.



New Horizons For A Data Driven Economy


New Horizons For A Data Driven Economy
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Author : José María Cavanillas
language : en
Publisher: Springer
Release Date : 2016-04-04

New Horizons For A Data Driven Economy written by José María Cavanillas and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-04 with Computers categories.


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.



Taming The Big Data Tidal Wave


Taming The Big Data Tidal Wave
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Author : Bill Franks
language : en
Publisher: John Wiley & Sons
Release Date : 2012-03-19

Taming The Big Data Tidal Wave written by Bill Franks and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-19 with Business & Economics categories.


You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior.... As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you’re in the area, you can get 10% off if you stop by in the next 20 minutes.... As you drink your coffee, you receive an apology from the manufacturer of a product that you complained about yesterday on your Facebook page, as well as on the company’s web site.... Finally, once you get back home, you receive notice of a special armor upgrade available for purchase in your favorite online video game. It is just what is needed to get past some spots you’ve been struggling with.... Sound crazy? Are these things that can only happen in the distant future? No. All of these scenarios are possible today! Big data. Advanced analytics. Big data analytics. It seems you can’t escape such terms today. Everywhere you turn people are discussing, writing about, and promoting big data and advanced analytics. Well, you can now add this book to the discussion. What is real and what is hype? Such attention can lead one to the suspicion that perhaps the analysis of big data is something that is more hype than substance. While there has been a lot of hype over the past few years, the reality is that we are in a transformative era in terms of analytic capabilities and the leveraging of massive amounts of data. If you take the time to cut through the sometimes-over-zealous hype present in the media, you’ll find something very real and very powerful underneath it. With big data, the hype is driven by genuine excitement and anticipation of the business and consumer benefits that analyzing it will yield over time. Big data is the next wave of new data sources that will drive the next wave of analytic innovation in business, government, and academia. These innovations have the potential to radically change how organizations view their business. The analysis that big data enables will lead to decisions that are more informed and, in some cases, different from what they are today. It will yield insights that many can only dream about today. As you’ll see, there are many consistencies with the requirements to tame big data and what has always been needed to tame new data sources. However, the additional scale of big data necessitates utilizing the newest tools, technologies, methods, and processes. The old way of approaching analysis just won’t work. It is time to evolve the world of advanced analytics to the next level. That’s what this book is about. Taming the Big Data Tidal Wave isn’t just the title of this book, but rather an activity that will determine which businesses win and which lose in the next decade. By preparing and taking the initiative, organizations can ride the big data tidal wave to success rather than being pummeled underneath the crushing surf. What do you need to know and how do you prepare in order to start taming big data and generating exciting new analytics from it? Sit back, get comfortable, and prepare to find out!