Applied Predictive Technologies (Paperback)


Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Applied Predictive Technologies is a software company that provides business analytics software to other businesses, along with support, training, and consulting services for its software. APT's clients include Starbucks, Subway, Royal Bank of Canada, and more than 40 of the Fortune 500 across a number of industries. APT was founded in 1999 by Jim Manzi, Anthony Bruce, and Scott Setrakian, who all came from a business consulting background, and was acquired in 2006 by Accel-KKR, a private equity firm.

R1,042

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles10420
Mobicred@R98pm x 12* Mobicred Info
Free Delivery
Delivery AdviceOut of stock

Toggle WishListAdd to wish list
Review this Item

Product Description

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Applied Predictive Technologies is a software company that provides business analytics software to other businesses, along with support, training, and consulting services for its software. APT's clients include Starbucks, Subway, Royal Bank of Canada, and more than 40 of the Fortune 500 across a number of industries. APT was founded in 1999 by Jim Manzi, Anthony Bruce, and Scott Setrakian, who all came from a business consulting background, and was acquired in 2006 by Accel-KKR, a private equity firm.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Acu Publishing

Country of origin

United States

Release date

August 2011

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

August 2011

Editors

Dimensions

229 x 152 x 6mm (L x W x T)

Format

Paperback - Trade

Pages

96

ISBN-13

978-6136704999

Barcode

9786136704999

Categories

LSN

6136704994



Trending On Loot