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The power to predict :how real-time ...

Ranadive, Vivek.

The power to predict :how real-time businesses anticipate customer needs, create opportunities, and beat the competition /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The power to predict :Vivek Ranadive.
Reminder of title:	how real-time businesses anticipate customer needs, create opportunities, and beat the competition /
Author:	Ranadive, Vivek.
Published:	New York :McGraw-Hill,c2006.
Description:	xv, 239 p. :ill. ;24 cm.
Subject:	Real-time data processingManagement.
ISBN:	9780071450140

The power to predict :how real-time businesses anticipate customer needs, create opportunities, and beat the competition /
Ranadive, Vivek.

The power to predict :how real-time businesses anticipate customer needs, create opportunities, and beat the competition /Vivek Ranadive. - New York :McGraw-Hill,c2006. - xv, 239 p. :ill. ;24 cm.

Includes bibliographical references (p. 193-204) and index.

Why predictive business today? -- The success of the real-time business -- The power to predict -- Excellence in financial services -- Answering Telco's call --Transportation and logistics: improving delivery -- Powering retail and consumer goods -- Predictive business in healthcare and life science -- Energy efficiency -- The predictive battlespace -- Getting your business ready for predictive -- What's next.

ISBN: 9780071450140

LCCN: 2005034472Subjects--Topical Terms:

231644
Real-time data processing
--Management.

LC Class. No.: HF5548.3 / .R185 2006

Dewey Class. No.: 658.7/03

The power to predict :how real-time businesses anticipate customer needs, create opportunities, and beat the competition /
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020 $a 9780071450140
020 $a 0071450149 : $c NT$888
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050 4 $a HF5548.3 $b .R185 2006
082 0 0 $2 22 $a 658.7/03
100 $a Ranadive, Vivek. $3 245657
245 1 4 $a The power to predict : $b how real-time businesses anticipate customer needs, create opportunities, and beat the competition / $c Vivek Ranadive.
260 $a New York : $c c2006. $b McGraw-Hill,
300 $a xv, 239 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references (p. 193-204) and index.
505 0 $a Why predictive business today? -- The success of the real-time business -- The power to predict -- Excellence in financial services -- Answering Telco's call --Transportation and logistics: improving delivery -- Powering retail and consumer goods -- Predictive business in healthcare and life science -- Energy efficiency -- The predictive battlespace -- Getting your business ready for predictive -- What's next.
650 $a Real-time data processing $x Management. $3 231644
650 $a Business $x Data processing $x Management. $3 184443
650 $a Selling. $3 231179
650 $a Customer services. $3 200368
650 $a Consumer satisfaction. $3 220965