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The Fog of Data: Navigating Data to Derive Implications, Unlock Value, Get Buy-In, and Increase Transparency
Rapidly increasing volumes of data have made the push to derive data implications more challenging. And there are political risks and challenges posed by a rabid democratization of information sharing, social media, and fake news. In The Fog of Data, Chairman of The Futurist Institute, Jason Schenker, describes the best ways to navigate data challenges -- and how to derive valuable data insights.
182 pages, Kindle Edition
Published March 5, 2019
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Displaying 1 - 2 of 2 reviews
November 8, 2019
In this era of Big Data, it is tempting for a company, of any size, to jump in, head first. After all, the more data a company has, the better the "answer," right? Not exactly.
First of all, what question (or questions) is your company trying to answer? Is this the right question? Can any of that mountain of data be put aside, or trashed, or is it all needed to answer the question? Is your data in the right currency, or the right unit of measure? If your data doesn't fit, is it worth the time and money to make it fit?
Data that is, figuratively, sitting in a corner gathering dust is worthless without useful questions to answer. Good analysis is just as important as good data answering the right questions. The final answer from your data must be constantly re-tested. Just because an answer is "correct" this year does not mean it will be equally "correct" next year. Not all data is useful.
Sometimes it is necessary to create your own data. From the start, focus on getting the data you want so that you don't have to change direction somewhere in the middle. If such a change becomes necessary, do it as quickly as possible. When presenting your data, use images and pictures, not just words. If possible, tell a story with your data.
This book does an excellent job at helping the reader navigate the world of Big Data, before they jump in. It is recommended for companies both big and small.
First of all, what question (or questions) is your company trying to answer? Is this the right question? Can any of that mountain of data be put aside, or trashed, or is it all needed to answer the question? Is your data in the right currency, or the right unit of measure? If your data doesn't fit, is it worth the time and money to make it fit?
Data that is, figuratively, sitting in a corner gathering dust is worthless without useful questions to answer. Good analysis is just as important as good data answering the right questions. The final answer from your data must be constantly re-tested. Just because an answer is "correct" this year does not mean it will be equally "correct" next year. Not all data is useful.
Sometimes it is necessary to create your own data. From the start, focus on getting the data you want so that you don't have to change direction somewhere in the middle. If such a change becomes necessary, do it as quickly as possible. When presenting your data, use images and pictures, not just words. If possible, tell a story with your data.
This book does an excellent job at helping the reader navigate the world of Big Data, before they jump in. It is recommended for companies both big and small.
July 4, 2019
Very well put together advice for processing data.
This book was pretty enlightening. In a world where we are constantly overloaded with data this book helps sort out the most and least effective ways that the author has found for dealing with and processing data. The author uses their personal experience and trials and errors to teach others how to best process and present data. I believe this book is aptly named, data can be so overwhelming to deal with especially to those who are just dipping their feet into the data pool. I like that the author stresses that it is okay and even important to ignore some data that is not as useful as other data may be. It is important to know that you do not have to squeeze every single piece of information into a single report. I like that the author tries to help clear the fog of data and reminds the reader to narrow it down to the most important or relevant points that fit their needs.
This book was pretty enlightening. In a world where we are constantly overloaded with data this book helps sort out the most and least effective ways that the author has found for dealing with and processing data. The author uses their personal experience and trials and errors to teach others how to best process and present data. I believe this book is aptly named, data can be so overwhelming to deal with especially to those who are just dipping their feet into the data pool. I like that the author stresses that it is okay and even important to ignore some data that is not as useful as other data may be. It is important to know that you do not have to squeeze every single piece of information into a single report. I like that the author tries to help clear the fog of data and reminds the reader to narrow it down to the most important or relevant points that fit their needs.
Displaying 1 - 2 of 2 reviews