big data in practice how 45 successful companies used big data analytics to deliver extraordinary results

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Big Data In Practice

Author : Bernard Marr
ISBN : 9781119231394
Genre : Business & Economics
File Size : 77. 91 MB
Format : PDF, Docs
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The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Big Data In Practice

Author : Bernard Marr
ISBN : 9781119231387
Genre : Business & Economics
File Size : 45. 36 MB
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Machine generated contents note: Introduction 1 Walmart: How Big Data Is Used To Drive Supermarket Performance 2 CERN: Unravelling the Secrets of the Universe with Big Data 3 Netflix: How Netflix Used Big Data to Give Us the Programmes We Want 4 Rolls-Royce: How Big Data Is Used To Drive Success In Manufacturing 5 Shell: How Big Oil Uses Big Data 6 Apixio: How Big Data Is Transforming Healthcare 7 Lotus F1 Team: How Big Data Is Essential To The Success Of Motorsport Teams 8 Pendleton & Son Butchers: Big Data for Small Business 9 US Olympic Women's Cycling Team: How Big Data Analytics Is Used To Optimize Athletes' Performance 10 ZSL: Big Data In The Zoo And To Protect Animals 11 Facebook: How Facebook Use Big Data to Understand Customers 12 John Deere: How Big Data Can Be Applied On Farms 13 Royal Bank of Scotland: Using Big Data to Make Customer Service More Personal 14 LinkedIn: How Big Data Is Used To Fuel Social Media Success 15 Microsoft: Bringing Big Data To The Masses 16 Acxiom: Fuelling Marketing With Big Data 17 US Immigration and Customs: How Big Data Is Used To Keep Passengers Safe and Prevent Terrorism 18 Nest: Bringing the Internet of Things into The Home 19 GE: How Big Data Is Fuelling the Industrial Internet 20 Etsy: How Big Data Is Used In A Crafty Way 21 Narrative Science: How Big Data Is Used To Tell Stories 22 BBC: How Big Data Is Used In The Media 23 Milton Keynes: How Big Data Is Used To Create Smarter Cities 24 Palantir: How Big Data Is Used To Help The CIA And To Detect Bombs In Afghanistan 25 Airbnb: How Big Data Is Used To Disrupt the Hospitality Industry 26 Sprint: Profiling Audiences Using Mobile Network Data 27 Dickey's Barbecue Pit: How Big Data Is Used to Gain Performance Insights Into One Of America's Most Successful Restaurant Chains 28 Caesars: Big Data At The Casino 29 Fitbit: Big Data In The Personal Fitness Arena 30 Ralph Lauren: Big Data In The Fashion Industry 31 Zynga: Big Data In The Gaming Industry 32 Autodesk: How Big Data Is Transforming The Software Industry 33 Walt Disney Parks and Resorts: How Big Data Is Transforming Our Family Holidays 34 Experian: Using Big Data To Make Lending Decisions And To Crack Down On Identity Fraud 35 Transport for London: How Big Data Is Used To Improve And Manage Public Transport In London 36 The US Government: Using Big Data To Run A Country 37 IBM Watson: Teaching Computers To Understand And Learn 38 Google: How Big Data Is At The Heart Of Google's Business Model 39 Terra Seismic: Using Big Data To Predict Earthquakes 40 Apple: How Big Data Is At The Centre Of Their Business 41 Twitter: How Twitter And IBM Deliver Customer Insights From Big Data 42 Uber: How Big Data Is At The Centre Of Uber's Transportation Business 43 Electronic Arts: Big Data In Video Gaming 44 Kaggle: Crowdsourcing Your Data Scientist 45 Amazon: How Predictive Analytics Are Used To Get A 360-Degree View Of Consumers Final Thoughts About the Author Acknowledgements Index

Big Data In Practice

Author : Bernard Marr
ISBN : 9781119231417
Genre : Business & Economics
File Size : 86. 97 MB
Format : PDF, Kindle
Download : 534
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The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Big Data

Author : Viktor Mayer-Schönberger
ISBN : 9780544002937
Genre : Business & Economics
File Size : 60. 84 MB
Format : PDF
Download : 443
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A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big data. “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior. In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing. www.big-data-book.com

Data Strategy

Author : Bernard Marr
ISBN : 9780749479862
Genre : Business & Economics
File Size : 66. 97 MB
Format : PDF, ePub
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Less than 0.5 per cent of all data is currently analysed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.

Big Data

Author : Bernard Marr
ISBN : 9781118965788
Genre : Business & Economics
File Size : 50. 37 MB
Format : PDF, ePub, Docs
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Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands

Ethics Of Big Data

Author : Kord Davis
ISBN : 9781449357498
Genre : Computers
File Size : 77. 37 MB
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What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices. Both individuals and organizations have legitimate interests in understanding how data is handled. Your use of data can directly affect brand quality and revenue—as Target, Apple, Netflix, and dozens of other companies have discovered. With this book, you’ll learn how to align your actions with explicit company values and preserve the trust of customers, partners, and stakeholders. Review your data-handling practices and examine whether they reflect core organizational values Express coherent and consistent positions on your organization’s use of big data Define tactical plans to close gaps between values and practices—and discover how to maintain alignment as conditions change over time Maintain a balance between the benefits of innovation and the risks of unintended consequences

Creating Value With Big Data Analytics

Author : Peter C. Verhoef
ISBN : 9781317561927
Genre : Business & Economics
File Size : 67. 55 MB
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Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics. Creating Value with Big Data Analytics provides a nuanced view of big data development, arguing that big data in itself is not a revolution but an evolution of the increasing availability of data that has been observed in recent times. Building on the authors’ extensive academic and practical knowledge, this book aims to provide managers and analysts with strategic directions and practical analytical solutions on how to create value from existing and new big data. By tying data and analytics to specific goals and processes for implementation, this is a much-needed book that will be essential reading for students and specialists of data analytics, marketing research, and customer relationship management.

Big Data Marketing

Author : Lisa Arthur
ISBN : 9781118734025
Genre : Business & Economics
File Size : 60. 78 MB
Format : PDF, ePub, Mobi
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Leverage big data insights to improve customer experiences and insure business success Many of today's businesses find themselves caught in a snarl of internal data, paralyzed by internal silos, and executing antiquated marketing approaches. As a result, consumers are losing patience, shareholders are clamoring for growth and differentiation, and marketers are left struggling to untangle the massive mess. Big Data Marketing provides a strategic road map for executives who want to clear the chaos and start driving competitive advantage and top line growth. Using real-world examples, non-technical language, additional downloadable resources, and a healthy dose of humor, Big Data Marketing will help you discover the remedy offered by data-driven marketing. Explains how marketers can use data to learn what they need to know Details strategies to drive marketing relevance and Return On Marketing Investment (ROMI) Provides a five-step approach in the journey to a more data-driven marketing organization Author Lisa Arthur, the Chief Marketing Officer for Teradata Applications, the leader in integrated marketing software, meets with thousands of CMOs and marketing professionals annually through public speaking and events Big Data Marketing reveals patterns in your customers' behavior and proven ways to elevate customer experiences. Leverage these insights to insure your business's success.

Data Smart

Author : John W. Foreman
ISBN : 9781118839867
Genre : Business & Economics
File Size : 69. 46 MB
Format : PDF
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Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Each chapter will cover a different technique in a spreadsheet so you can follow along: Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

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