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[Reading] ➸ Big Data at Work By Thomas H. Davenport – Brazilianportuguesetranslator.us

Big Data at Work Go Ahead, Be Skeptical About Big Data The Author Was At First.When The Term Big Data First Came On The Scene, Bestselling Author Tom Davenport Competing On Analytics, Analytics At Work Thought It Was Just Another Example Of Technology Hype But His Research In The Years That Followed Changed His Mind.Now, In Clear, Conversational Language, Davenport Explains What Big Data Means And Why Everyone In Business Needs To Know About It Big Data At Work Covers All The Bases What Big Data Means From A Technical, Consumer, And Management Perspective What Its Opportunities And Costs Are Where It Can Have Real Business Impact And Which Aspects Of This Hot Topic Have Been Oversold.This Book Will Help You Understand Why Big Data Is Important To You And Your Organization What Technology You Need To Manage It How Big Data Could Change Your Job, Your Company, And Your Industry How To Hire, Rent, Or Develop The Kinds Of People Who Make Big Data Work The Key Success Factors In Implementing Any Big Data Project How Big Data Is Leading To A New Approach To Managing AnalyticsWith Dozens Of Company Examples, Including UPS, GE United Healthcare, Citigroup, And Many Others, This Book Will Help You Seize All Opportunities From Improving Decisions, Products, And Services To Strengthening Customer Relationships It Will Show You How To Put Big Data To Work In Your Own Organization So That You Too Can Harness The Power Of This Ever Evolving New Resource.

[Reading] ➸ Big Data at Work  By Thomas H. Davenport – Brazilianportuguesetranslator.us
  • Hardcover
  • 240 pages
  • Big Data at Work
  • Thomas H. Davenport
  • English
  • 25 May 2017
  • 1422168166

    10 thoughts on “[Reading] ➸ Big Data at Work By Thomas H. Davenport – Brazilianportuguesetranslator.us


  1. says:

    ARC provided by NetGalleyBig data What is it and why the heck do we keep hearing people talk about it Hasn t it been around for years and years Haven t we always looked at data Yes..and no In Big Data at Work author Tom Davenport, expert in analytics, shares with us that at one time he too thought big data was just a retread of old information But then he started looking into it and he discoveredbig data is new In this book Davenport tells us in a concise, nonsense, and nontechnical wa AR...


  2. says:

    This book is a simple accessible guide to help business owners and executives make sense of big data technologies, including their numerous opportunities, potential benefits, required talents, business strategies, implementation processes, etc Don t expect any nitty gri...


  3. says:

    Absolutely interesting All the articles are written with such clarity that it is a pleasure to enjoy the reading I loved the way the authors describe how the new trends are re shaping diverse industries and how the data scientists are never going to be out of work which makes me sigh in relief


  4. says:

    A good managerial overview on what you should do with data Technology is advancing so fast in this space, any in depth analysis or high level for that matter will be out of date before publication The business aspects are good and always the bigger challenge IT should drive governanc...


  5. says:

    If you are in the data mining analysis field, this is probably a fascinating read I found certain parts of it interesting but for the most part it was really dry and I thought it would never end And I really got tired of hearing the term early days As in, It s still early days, but.


  6. says:

    The author stole my money on this book This one contains exactly what his other books, but with a new cover


  7. says:

    DNF If after 40 pages the value proposition of the book doesn t come through I can t continue.


  8. says:

    This is a very dry book and feels slightly outdated since it was released It feels like this book could be condensed into an article without loss of content.


  9. says:

    Surprisingly readable book on the explosion of big data and its emergence within modern businesses I expected a dry overview of data analytics Instead, I was given a clear introduction to the nature of big data, the reason for its growing focus within so many organizations, and the change if not havoc it will bring on future commerce, traffic, security, innovation, etc Data is growing exponentially Nowadays it encompasses not just the facts i.e name, rank, serial number but shopping pat Surprisingly readable book on the explosion of big data and its emergence within modern businesses I expected a dry overview of data analytics Instead, I was given a clear introduction to the nature of big data, the reason for its growing focus within so many organizations, and the change if not havoc it will bring on future commerce, traffic, security, innovation, etc Data is growing exponentially Nowadays it encompasses not just the facts i.e name, rank, serial number but shopping patterns, video clips, social media, podcasts, music They are a gold mine for all kinds of information, which can help a physician determine the best treatment for a patient, or a travel agent can curate an entire hotel package for an executive at a convention The author discusses crucial software programs like Hadoop, which probably by now 3 years later is obsolete, and the necessary communication and relationship skills to interpret data and find effectiv...


  10. says:

    I read this book to gain a better understanding of how Big Data can benefit companies who develop intentional efforts to harness all that big data has to offer Given that I don t have a large technical background in data analysis or programming, I appreciated the easy to follow language that was used throughout the book With that being said, I don t feel like I gained a deeper understanding of how to harness this resource that is taking the business world by storm The examples given were very I read this book to gain a better understanding of how Big Data can benefit companies who develop intentional efforts to harness all that big data has to offer Given that I don t have a large technical background in data analysis or programming, I appreciated the easy to follow language that was used throughout the book With that being said, I don t feel like I ...

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