Big Data Big Innovation
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Big Data Big Innovation
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Author : Evan Stubbs
language : en
Publisher: John Wiley & Sons
Release Date : 2014-07-02
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 2014-07-02 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
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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 Analytics
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Author : Michael Minelli
language : en
Publisher: John Wiley & Sons
Release Date : 2012-12-27
Big Data Big Analytics written by Michael Minelli 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 2012-12-27 with Business & Economics categories.
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.
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.
Open And Big Data Management And Innovation
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Author : Marijn Janssen
language : en
Publisher: Springer
Release Date : 2015-10-08
Open And Big Data Management And Innovation written by Marijn Janssen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-08 with Computers categories.
This book constitutes the refereed conference proceedings of the 14th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2015, held in Delft, The Netherlands, in October 2015. The 40 revised full papers presented together with 1 keynote panel were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: adoption; big and open data; e-business, e-services,, and e-society; and witness workshop.
Big Data
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Author : Kiran Sood
language : en
Publisher: Emerald Group Publishing
Release Date : 2022-07-19
Big Data written by Kiran Sood and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-19 with Business & Economics categories.
Striking a balance between the technical characteristics of the subject and the practical aspects of decision making, spanning from fraud analytics in claims management, to customer analytics, to risk analytics in solvency, the comprehensive coverage presented makes Big Data an invaluable resource for any insurance professional.
Cutting Edge Business Technologies In The Big Data Era
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Author : Saad G. Yaseen
language : en
Publisher: Springer Nature
Release Date : 2023-08-26
Cutting Edge Business Technologies In The Big Data Era written by Saad G. Yaseen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-26 with Computers categories.
This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?
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 Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-04-20
Big Data Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-20 with Computers categories.
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.
The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy
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Author : John MacIntyre
language : en
Publisher: Springer Nature
Release Date : 2020-11-03
The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy written by John MacIntyre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-03 with Computers categories.
This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.