What is Big Data, and why should you care?Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims.But how well do you know big data?You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun?Yes. Yes, you can.Timandra Harkness writes comedy, not computer code. The only programmes she makes are on the radio. If you can read a newspaper you can read this book.Starting with the basics – what IS data? And what makes it big? – Timandra takes you on a whirlwind tour of how people are using big data today: from science to smart cities, business to politics, self-quantification to the Internet of Things. Finally, she asks the big questions about where it's taking us; is it too big for its boots, or does it think too small? Are you a data point or a human being? Will this book be full of rhetorical questions? No. It also contains puns, asides, unlikely stories and engaging people, inspiring feats and thought-provoking dilemmas. Leaving you armed and ready to decide what you think about one of the decade's big ideas: big data.
Published by: Bloomsbury Sigma | Publication date: 06/02/2016Kindle book details: Kindle Edition, 320 pages
Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance
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
Published by: Wiley | Publication date: 01/09/2015Kindle book details: Kindle Edition, 233 pages
New and expanded edition.An International Bestseller - Over One Million Copies Sold!Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award.Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why.We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.
Published by: John Murray | Publication date: 03/14/2013Kindle book details: Kindle Edition, 320 pages, ISBN 9781848547902
Is the Brexit vote successful big data politics or the end of democracy? Why do airlines overbook, and why do banks get it wrong so often? How does big data enable Netflix to forecast a hit, CERN to find the Higgs boson and medics to discover if red wine really is good for you? And how are companies using big data to benefit from smart meters, use advertising that spies on you and develop the gig economy, where workers are managed by the whim of an algorithm?The volumes of data we now access can give unparalleled abilities to make predictions, respond to customer demand and solve problems. But Big Brother’s shadow hovers over it. Though big data can set us free and enhance our lives, it has the potential to create an underclass and a totalitarian state. With big data ever-present, you can’t afford to ignore it. Acclaimed science writer Brian Clegg - a habitual early adopter of new technology (and the owner of the second-ever copy of Windows in the UK) - brings big data to life.
Published by: Icon Books Ltd | Publication date: 08/03/2017Kindle book details: Kindle Edition, 176 pages
A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life - and threaten to rip apart our social fabricWe live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: everyone is judged according to the same rules, and bias is eliminated. And yet, as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and incontestable, even when they're wrong. Most troubling, they reinforce discrimination. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort CVs, grant or deny loans, evaluate workers, target voters, and monitor our health. O'Neil calls on modellers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.
Published by: Penguin | Publication date: 09/06/2016Kindle book details: Kindle Edition, 220 pages
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.
Published by: Kogan Page | Publication date: 04/03/2017Kindle book details: Kindle Edition, 200 pages
Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage
Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you will be amazed at how you can transform your company, and significantly improve KPIs across a broad range of business units and applications.Find out how an ecommerce company avoided two million product returns per year, how a newspaper saw triple-digit annual growth in digital subscriptions, how researchers in England learned to better detect pending cardiovascular problems, and how AI programs taught themselves to win games using techniques that even their human programmers didn’t understand, all thanks to big data. Find out also how one company realized it could swap a million dollar hardware system with a twenty thousand dollar replacement. With simple and straightforward chapters that allow you to map examples onto your own business, Big Data Demystified will help you:· Know which data is most useful to collect now and why it’s important to start collecting that data as soon as possible.· Understand big data and data science and how they can help you reach your business goals and gain competitive advantage.· Use big data to understand where you are now and how you can improve in the future. · Understand factors in choosing a big data system, including whether to go with cloud-based solutions.· Construct your big data team in a way that supports an effective strategy and helps make your business more data-driven.BIG DATA MAKES A BIG DIFFERENCE“Read this book! It is an essential guide to using data in a practical way that drives results." Ian McHenry, CEO Beyond Pricing“This is the book we’ve been missing: big data explained without the complexity.” Marc Salomon, Professor in Decision Sciences and Dean at University of Amsterdam Business School"Big Data for the rest of us! I have never come across a book that is so full of practical advice, actionable examples and helpful explanations. Read this one book and start executing Big Data at your workplace tomorrow!"Tobias Wann CEO at @Leisure Group
Published by: FT Publishing International | Publication date: 02/12/2018Kindle book details: Kindle Edition, 240 pages
THE NEW YORK TIMES BESTSELLERAN ECONOMIST BOOK OF THE YEARA NEW STATESMAN BOOK OF THE YEAR'This book is about a whole new way of studying the mind ... Endlessly fascinating' Steven Pinker'A whirlwind tour of the modern human psyche' EconomistEverybody lies, to friends, lovers, doctors, pollsters – and to themselves. In Internet searches, however, people confess the truth.Insightful, funny and always surprising, Everybody Lies explores how this huge collection of data, unprecedented in human history, could just be the most important ever collected. It offers astonishing insights into the human psyche, revealing the biases deeply embedded within us, the questions we're afraid to ask that might be essential to our well-being, and the information we can use to change our culture for the better.
Published by: Bloomsbury Publishing | Publication date: 05/29/2017Kindle book details: Kindle Edition, 352 pages
Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world's population, the amount of data generated each day became huge, and continues to grow exponentially. It includes all our uploaded documents, video, and photos, all our social media traffic, our online shopping, even the GPS data from our cars.'Big Data' represents a qualitative change, not simply a quantitative one. The term refers both to the new technologies involved, and to the way it can be used by business and government. Dawn E. Holmes uses a variety of case studies to explain how data is stored, analysed, and exploited by a variety of bodies from big companies to organizations concerned with disease control. Big data is transforming the way businesses operate, and the way medical research can be carried out. At the sametime, it raises important ethical issues; Holmes discusses cases such as the Snowden affair, data security, and domestic smart devices which can be hijacked by hackers.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
Published by: OUP Oxford | Publication date: 11/16/2017Kindle book details: Kindle Edition, 151 pages
AN AMAZON #1 BESTSELLER CYBERPUNKIf you think artificial intelligence is dangerous, then you don’t know the real threat to humanity’s future… Luna Valencia is the founder of the hottest big data and artificial intelligence startup in history. She’s about to become incredibly rich and powerful. But just when she’s about to take her company public, her world begins to fall apart. On the day of her startup’s IPO, a stock exchange shooter plummets Luna into a downward spiral toward a threat more menacing than she ever imagined possible. Faced with losing her company, her entire world, Luna searches for answers to a series of terrifying accusations. Failing to uncover the truth could destroy her company… but success would get her killed. Big Data is a fresh approach to the artificial intelligence sci-fi thriller. If you like fast-paced action, heart-stopping tension, and tech-filled worlds set in the near future, then you’ll love Lucas Carlson’s latest novel. Buy Big Data to discover the AI twist today!
Published by: Craftsman Founder | Publication date: 09/11/2016Kindle book details: Kindle Edition, 403 pages