From Big Data to Big ProfitsFrom Big Data to Big Profits

2015-07-01 Russell Walker

that the data positioning, more so than anything else, has led to the rapid creation of big profits at Uber and Airbnb. These firms are examples of how successfully leveraged digital platforms and Big Data can disrupt business ...

Author: Russell Walker

Publisher: Oxford University Press

ISBN: 9780199378333

Category:

Page: 352

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Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential. Now, more firms are following suit and looking to monetize Big Data for big profits. Such changes will have implications for both businesses and consumers in the coming years. In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies. Such changes, as Walker points out, will require careful consideration of legal and unspoken business practices as they affect consumer privacy. Companies looking to develop a Big Data strategy will find great value in the SIGMA framework, which he has developed to assess companies for Big Data readiness and provide direction on the steps necessary to get the most from Big Data. Rigorous and meticulous, From Big Data to Big Profits is a valuable resource for students, researchers, and professionals with an interest in Big Data, digital platforms, and analytics

The Big Data Driven BusinessThe Big Data Driven Business

2014-11-24 Russell Glass

Written by a marketing journalist and the CEO of a multi-million-dollar B2B marketing platform that reaches more than 90% of the U.S. business population, this book is a comprehensive and accessible guide on how to win customers, beat ...

Author: Russell Glass

Publisher: John Wiley & Sons

ISBN: 9781118889800

Category:

Page: 228

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Get the expert perspective and practical advice on big data The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits makes the case that big data is for real, and more than just big hype. The book uses real-life examples—from Nate Silver to Copernicus, and Apple to Blackberry—to demonstrate how the winners of the future will use big data to seek the truth. Written by a marketing journalist and the CEO of a multi-million-dollar B2B marketing platform that reaches more than 90% of the U.S. business population, this book is a comprehensive and accessible guide on how to win customers, beat competitors, and boost the bottom line with big data. The marketplace has entered an era where the customer holds all the cards. With unprecedented choice in both the consumer world and the B2B world, it's imperative that businesses gain a greater understanding of their customers and prospects. Big data is the key to this insight, because it provides a comprehensive view of a company's customers—who they are, and who they may be tomorrow. The Big Data-Driven Business is a complete guide to the future of business as seen through the lens of big data, with expert advice on real-world applications. Learn what big data is, and how it will transform the enterprise Explore why major corporations are betting their companies on marketing technology Read case studies of big data winners and losers Discover how to change privacy and security, and remodel marketing Better information allows for better decisions, better targeting, and better reach. Big data has become an indispensable tool for the most effective marketers in the business, and it's becoming less of a competitive advantage and more like an industry standard. Remaining relevant as the marketplace evolves requires a full understanding and application of big data, and The Big Data-Driven Business provides the practical guidance businesses need.

From Big Data to Big ProfitsFrom Big Data to Big Profits

2016 Russell Walker

Russell Walker investigates the use of big data to stimulate innovations in operational effectiveness and business growth.

Author: Russell Walker

Publisher:

ISBN: 0190628138

Category:

Page: 283

View: 215

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Russell Walker investigates the use of big data to stimulate innovations in operational effectiveness and business growth. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of big data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way big data is created and used by companies. Companies looking to develop a big data strategy will find great value in the SIGMA framework, which he has developed to assess companies for big data readiness and provide direction on the steps necessary to get the most from big data.--Back cover.

Predictive Analytics Data Mining and Big DataPredictive Analytics Data Mining and Big Data

2014-07-01 S. Finlay

What if they could identify those that make the big profits? If they could do this, then it might be profitable to target some of those with low scores, because the higher profit per case would offset the increased response cost.

Author: S. Finlay

Publisher: Springer

ISBN: 9781137379283

Category:

Page: 260

View: 405

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This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

Handbook of Research on Smart Management for Digital TransformationHandbook of Research on Smart Management for Digital Transformation

2022-03-11 Barbosa, Belem

How Netflix Uses Big Data to Create Content and Enhance User Experience. https:// ... A Comparative Study on How Big Data is Scaling. International Journal of Enhanced ... From Big Data to Big Profits Success with Data and Analytics.

Author: Barbosa, Belem

Publisher: IGI Global

ISBN: 9781799890102

Category:

Page: 614

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In a global and digital society, businesses are constantly being challenged by innovative and disruptive management strategies. The dramatic changes that took place in all corners of the world during the COVID-19 pandemic confirmed that companies need to update their resources and anticipate trends. The current changes introduced by digitalization offer endless innovation scenarios and strategic opportunities to companies but also demand an accurate and structured analysis of drivers, motivations, and determinants for success in this transformation. The Handbook of Research on Smart Management for Digital Transformation analyzes the drivers of digital transformation in businesses and assesses digital transformation success factors in the short, medium, and long run. This critical reference source is comprised of theoretical and empirical chapters as well as case studies on digital adoption by companies in different business sectors. Covering topics such as brand messaging, digital media platforms, and success determinants, this book is an essential resource for managers, researchers, educators of higher education, business students, digital strategists, business associations, communication and marketing agencies, entrepreneurs, and academicians.

New Developments in Competition Law and EconomicsNew Developments in Competition Law and Economics

2019-03-18 Klaus Mathis

J Eur Econ Assoc 1:990–1029 Rubinstein IS (2013) Big data: the end of privacy or a new beginning? Int Data Privacy Law 3:74–87 Schultz J ... Antitrust Source Walker R (2015) From big data to big profits: success with data and analytics.

Author: Klaus Mathis

Publisher: Springer

ISBN: 9783030116118

Category:

Page: 358

View: 194

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This book further develops both the traditional and the behavioural approach to competition law, and applies these approaches to a variety of timely issues. It discusses several fundamental questions regarding competition law and economics, and explores the applications of competition law and economics. In turn, the book analyses the interplay of intellectual property rights and patents in various aspects of competition law, and investigates the impacts that developments in information technology, such as big data analytics, have on competition law. The book also discusses the impact of energy law reforms on energy markets from a competition law perspective. Competition law is a classic field of economic analysis. This is largely due to the fact that competition law uses terms such as market, price, and competition and must therefore rely on economic know-how and analyses. In the United States, economic analysis has greatly influenced not just the scholarship on antitrust law, but also judicial decisions and agency enforcement. Antitrust law and economics are based on the traditional paradigm of neoclassical economics, which relies on the assumption that the market players, i.e. consumers and producers, are rational. This approach to competition law was later received in Europe under the banner of a “more economic approach”. For the past two decades, behavioural law and economics, which seeks to generate better insights into legal phenomena by providing more realistic psychological foundations for economic models, and to offer a multitude of applications in legislation and legal adjudication, has challenged the traditional economic approach to law in general and, more recently, to competition law specifically.

Big Data AnalyticsBig Data Analytics

2012-11-28 Frank J. Ohlhorst

This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine ...

Author: Frank J. Ohlhorst

Publisher: John Wiley & Sons

ISBN: 9781118147597

Category:

Page: 176

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Unique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities. Reveals big data analytics as the next wave for businesses looking for competitive advantage Takes an in-depth look at the financial value of big data analytics 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. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business's growth strategy.

Big DataBig Data

2020-02-12 Anthony S. Williams

Big data analytics, alongside the complex data analytics models and algorithms associated with artificial intelligence and machine ... Companies and businesses that rely on big data generally perform better, generate bigger profits, ...

Author: Anthony S. Williams

Publisher: Anthony S. Williams

ISBN:

Category:

Page: 344

View: 960

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Big Data - 4 book BUNDLE!! Data Analytics for Beginners In this book you will learn: Putting Data Analytics to Work The Rise of Data Analytics Big Data Defined Cluster Analysis Applications of Cluster Analysis Commonly Graphed Information Data Visualization Four Important Features of Data Visualization Software Big Data Impact Envisaged by 2020 Pros and Cons of Big Data Analytics And of course much more! Deep Learning with Keras In this book you will learn: Deep Neural Network Neural Network Elements Keras Models Sequential Model Functional API Model Keras Layers Core Keras Layers Convolutional Keras Layers Recurrent Keras Layers Deep Learning Algorithms Supervised Learning Algorithms Applications of Deep Learning Models Automatic Speech and Image Recognition Natural Language Processing Video Game Development Real World Applications And of course much more! Analyzing Data with Power BI In this book you will learn: Basics of data analysis processes Fundamental data analysis algorithms Basic of data and text mining, data visualization and business intelligence Techniques used for analysing quantitative data Basic data analysis tasks Conceptual, logical and physical data models Power BI service and data modelling Creating reports and visualizations in Power BI Data transformation and data cleaning in Power BI Real world applications of data analysis Convolutional Neural Networks In Python In this book you will learn: Architecture of convolutional neural networks Solving computer vision tasks using convolutional neural networks Python and computer vision Automatic image and speech recognition Theano and TenroeFlow image recognition How to use MNIST vision dataset What are commonly used convolutional filters Download this book bundle NOW and SAVE money!!

Entrepreneurship and Big DataEntrepreneurship and Big Data

2021-09-30 Meghna Chhabra

A whole ambit of societal transformation warrants structured channels to divert from routine profit-making towards community sustainability. This sets the stage for convergence of Big Data and the social entrepreneurial terrain.

Author: Meghna Chhabra

Publisher: CRC Press

ISBN: 9781000455700

Category:

Page: 288

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The digital age has transformed business opportunities and strategies in a resolutely practical and data-driven project universe. This book is a comprehensive and analytical source on entrepreneurship and Big Data that prospective entrepreneurs must know before embarking upon an entrepreneurial journey in this present age of digital transformation. This book provides an overview of the various aspects of entrepreneurship, function, and contemporary forms. It covers a real-world understanding of how the entrepreneurial world works and the required new analytics thinking and computational skills. It also encompasses the essential elements needed when starting an entrepreneurial journey and offers inspirational case studies from key industry leaders. Ideal reading for aspiring entrepreneurs, Entrepreneurship and Big Data: The Digital Revolution is also useful to students, academicians, researchers, and practitioners.

How not to PlanHow not to Plan

2018-07-12 APG Ltd

And that's where big profits lie. So just as we need to balance short and long-term marketing strategies, so we should balance granular, bottomup analysis with broader, top-down perspectives. That means designing data systems that allow ...

Author: APG Ltd

Publisher: Troubador Publishing Ltd

ISBN: 9781789011852

Category:

Page: 200

View: 862

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In the sink or swim world of planners, strategists and their clients, now more than ever, there is a need for a practical handbook to guide us through all the main parts of the process. And thanks to Les Binet and Sarah Carter at Adam&eveDDB we now have just that.