Big Data, Big Innovation

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Author : Evan Stubbs
Genre : BUSINESS & ECONOMICS

Summary : 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. --

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Author : Evan Stubbs
Genre : Business & Economics

Summary : 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.

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Author : Marianna Sigala
Genre : Business & Economics

Summary : 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.

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Author : Evan Stubbs
Genre : Big data

Summary : 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."

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Author : Edward Curry
Genre : Computers

Summary : 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.

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Author : OECD
Genre :

Summary : 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.

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Author :
Genre : Competition, International

Summary :