The Leading eBooks Store Online
for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, Sony Reader...
Big Data Analytics
Turning Big Data into Big Money
- iPhone / iPad
- Android phones & tablets
- Kindle Fire
- e-readers with Adobe Digital Editions installed
- PC
- Mac
This book is available for the following devices:
- iPhone
- iPad
- Android
- Kindle Fire
- Windows
- Mac
- Sony Reader
- Cool-er Reader
- Nook
- Kobo Reader
- iRiver Story
You can also read this book online in eb20 format without having to download anything.
Printing
Copy/Paste
Read Aloud
Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities.
- Reveals big data analytics as the next wave for businesses looking for competitive advantage
- Takes an in-depth look at the financial value of big data analytics
- Offers tools and best practices for working with big data
Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business's growth strategy.
less208 pages; ISBN 9781118239049
Read online, or download in EPUB or secure PDF format
- Academic > Economics > Industries. Land use. Labor > Large industry. Factory system. Big business > Industrial policy
- Academic > Economics > Industries. Land use. Labor > Management. Industrial management
- Academic > Economics > Industries. Land use. Labor > Industry
- Computers > Database Management > Data Mining
- Business > Management
- Business > Knowledge Management
- Business > Information Management