• Complain

Marr - Big data: using SMART big data, analytics and metrics to make better decisions and improve performance

Here you can read online Marr - Big data: using SMART big data, analytics and metrics to make better decisions and improve performance full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. City: Hoboken, year: 2015;2016, publisher: John Wiley & Sons, genre: Politics. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Marr Big data: using SMART big data, analytics and metrics to make better decisions and improve performance
  • Book:
    Big data: using SMART big data, analytics and metrics to make better decisions and improve performance
  • Author:
  • Publisher:
    John Wiley & Sons
  • Genre:
  • Year:
    2015;2016
  • City:
    Hoboken
  • Rating:
    3 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 60
    • 1
    • 2
    • 3
    • 4
    • 5

Big data: using SMART big data, analytics and metrics to make better decisions and improve performance: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Big data: using SMART big data, analytics and metrics to make better decisions and improve performance" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

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 everyones 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 --;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 everyones 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 -- Provided by publisher.

Marr: author's other books


Who wrote Big data: using SMART big data, analytics and metrics to make better decisions and improve performance? Find out the surname, the name of the author of the book and a list of all author's works by series.

Big data: using SMART big data, analytics and metrics to make better decisions and improve performance — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Big data: using SMART big data, analytics and metrics to make better decisions and improve performance" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Amazing That was my first word when I started reading this book Fascinating - photo 1

Amazing. That was my first word, when I started reading this book. Fascinating was the next. Amazing, because once again, Bernard masterfully takes a complex subject, and translates it into something anyone can understand. Fascinating because the detailed real-life customer examples immediately inspired me to think about my own customers and partners, and how they could emulate the success of these companies. Bernard's book is a must have for all Big Data practitioners and Big Data hopefuls!

Shawn Ahmed, Senior Director, Business Analytics and IoT at Splunk


Finally a book that stops talking theory and starts talking facts. Providing real-life and tangible insights for practices, processes, technology and teams that support Big Data, across a portfolio of organizations and industries. We often think Big Data is big business and big cost, however some of the most interesting examples show how small businesses can use smart data to make a real difference. The businesses in the book illustrate how Big Data is fundamentally about the customer, and generating a data-driven customer strategy that influences both staff and customers at every touch point of the customer journey.

Adrian Clowes, Head of Data and Analytics at Center Parcs UK


Big Data in Practice by Bernard Marr is the most complete book on the Big Data and analytics ecosystem. The many real-life examples make it equally relevant for the novice as well as experienced data scientists.

Fouad Bendris, Business Technologist, Big Data Lead at Hewlett Packard Enterprise


Bernard Marr is one of the leading authors in the domain of Big Data. Throughout Big Data in Practice Marr generously shares some of his keen insights into the practical value delivered to a huge range of different businesses from their Big Data initiatives. This fascinating book provides excellent clues as to the secret sauce required in order to successfully deliver competitive advantage through Big Data analytics. The logical structure of the book means that it is as easy to consume in one sitting as it is to pick up from time to time. This is a must-read for any Big Data sceptics or business leaders looking for inspiration.

Will Cashman, Head of Customer Analytics at AIB


The business of business is now data! Bernard Marr's book delivers concrete, valuable, and diverse insights on Big Data use cases, success stories, and lessons learned from numerous business domains. After diving into this book, you will have all the knowledge you need to crush the Big Data hype machine, to soar to new heights of data analytics ROI, and to gain competitive advantage from the data within your organization.

Kirk Borne, Principal Data Scientist at Booz Allen Hamilton, USA


Big Data is disrupting every aspect of business. You're holding a book that provides powerful examples of how companies strive to defy outmoded business models and design new ones with Big Data in mind.

Henrik von Scheel, Google Advisory Board Member


Bernard Marr provides a comprehensive overview of how far Big Data has come in past years. With inspiring examples he clearly shows how large, and small, organizations can benefit from Big Data. This book is a must-read for any organization that wants to be a data-driven business.

Mark van Rijmenam, Author Think Bigger and Founder of Datafloq


This is one of those unique business books that is as useful as it is interesting. Bernard has provided us with a unique, inside look at how leading organizations are leveraging new technology to deliver real value out of data and completely transforming the way we think, work, and live.

Stuart Frankel, CEO at Narrative Science Inc.


Big Data can be a confusing subject for even sophisticated data analysts. Bernard has done a fantastic job of illustrating the true business benefits of Big Data. In this book you find out succinctly how leading companies are getting real value from Big Data highly recommended read!'

Arthur Lee, Vice President of Qlik Analytics at Qlik


If you are searching for the missing link between Big Data technology and achieving business value look no further! From the world of science to entertainment, Bernard Marr delivers it and, importantly, shares with us the recipes for success.

Achim Granzen, Chief Technologist Analytics at Hewlett Packard Enterprise


A comprehensive compendium of why, how, and to what effects Big Data analytics are used in today's world.

James Kobielus, Big Data Evangelist at IBM


A treasure chest of Big Data use cases.

Stefan Groschupf, CEO at Datameer, Inc.


This edition first published 2016

2016 Bernard Marr

Registered office
John Wiley and Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom

For details of our global editorial offices, for customer services and for information about how to apply for permission to reuse the copyright material in this book please see our website at www.wiley.com.

The right of the author to be identified as the author of this work has been asserted in accordance with the Copyright, Designs and Patents Act 1988.

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by the UK Copyright, Designs and Patents Act 1988, without the prior permission of the publisher.

Wiley publishes in a variety of print and electronic formats and by print-on-demand. Some material included with standard print versions of this book may not be included in e-books or in print-on-demand. If this book refers to media such as a CD or DVD that is not included in the version you purchased, you may download this material at http://booksupport.wiley.com. For more information about Wiley products, visit www.wiley.com.

Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and product names used in this book and on its cover are trade names, service marks, trademarks or registered trademarks of their respective owners. The publisher and the book are not associated with any product or vendor mentioned in this book. None of the companies referenced within the book have endorsed the book.

Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. It is sold on the understanding that the publisher is not engaged in rendering professional services and neither the publisher nor the author shall be liable for damages arising herefrom. If professional advice or other expert assistance is required, the services of a competent professional should be sought.

Library of Congress Cataloging-in-Publication Data is available

A catalogue record for this book is available from the British Library.

ISBN 978-1-119-23138-7 (hbk) ISBN 978-1-119-23139-4 (ebk)
ISBN 978-1-119-23141-7 (ebk) ISBN 978-1-119-27882-5 (ebk)

Cover Design: Wiley
Cover Image: vs148/Shutterstock

This book is dedicated to the people who mean most to me: My wife
Claire and our three children Sophia, James and Oliver.

INTRODUCTION

We are witnessing a movement that will completely transform any part of business and society. The word we have given to this movement is Big Data and it will change everything, from the way banks and shops operate to the way we treat cancer and protect our world from terrorism. No matter what job you are in and no matter what industry you work in, Big Data will transform it.

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Big data: using SMART big data, analytics and metrics to make better decisions and improve performance»

Look at similar books to Big data: using SMART big data, analytics and metrics to make better decisions and improve performance. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Big data: using SMART big data, analytics and metrics to make better decisions and improve performance»

Discussion, reviews of the book Big data: using SMART big data, analytics and metrics to make better decisions and improve performance and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.