Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Making Big Data Work for Your Business

You're reading from   Making Big Data Work for Your Business A clear, practical and simple guide to ensuring effective Big Data analytics for your business

Arrow left icon
Product type Paperback
Published in Oct 2014
Publisher
ISBN-13 9781783000982
Length 170 pages
Edition Edition
Concepts
Arrow right icon
Author (1):
Arrow left icon
Sudhi Ranjan Sinha Sudhi Ranjan Sinha
Author Profile Icon Sudhi Ranjan Sinha
Sudhi Ranjan Sinha
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

Making Big Data Work for Your Business
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
Preface
1. Building Your Strategy Framework 2. Creating an Opportunity Landscape and Collecting Your Gold Coins FREE CHAPTER 3. Managing Your Big Data Projects Effectively 4. Building the Right Technology Landscape 5. Building a Winning Team 6. Managing Investments and Monetization of Data 7. Driving Change Effectively 8. Driving Communication Effectively

Creating a visualization of your Big Data


One of the most important activities in Big Data processing and analysis is creating a powerful visualization of the data and insights. Many researchers have concluded that the human brain understands anything graphical better than it understands anything textual or numerical. During the analytical process, you will need to constantly make sense of data and manipulate its usage and interpretation; this will be much easier if you could visualize the data instead of reading it from tables, columns, or text files. When you have insights, your business stakeholders will want to understand those in the context of the data; you need some pictorial representation for that as well.

There are many key considerations you need to keep in mind when developing data visualizations:

  • Which form of graphical representation to use for which type of data

  • How to design a visualization approach that allows interactive capabilities, for example, to drill down from summary...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime