An edition of The decoded company (2014)

The decoded company

know your talent better than you know your customers

My Reading Lists:

Create a new list


Buy this book

Last edited by MARC Bot
August 15, 2025 | History
An edition of The decoded company (2014)

The decoded company

know your talent better than you know your customers

"Google amazes us by generating answers before we even finish asking a question. Netflix delights us with spot-on recommendations. These companies use the power of Big Data-the collection and analysis of massive amounts of information. It's one of the hottest concepts in business. But while many companies are embracing Big Data to understand their customers, very few are applying it to their own employees. One of the pioneers in that effort has been acclaimed digital marketing agency Klick Health. Now Klick's leaders share the principles that guided their fast growth and low turnover. Klick CEO Leerom Segal and his colleagues show how personalizing each employee's experience can increase their engagement, help them learn new skills faster, and be placed with the right teams. The authors outline the three transformative ideas they've developed for "decoding" any company or department-figuring out what really makes it tick, so you can maximize its potential. The authors share success stories from Klick and other organizations, and offer a bold new approach to designing and managing a workplace. The result is a groundbreaking book for any company that wants the best from its people"--

Publish Date
Publisher
Portfolio/Penguin
Language
English
Pages
326

Buy this book

Previews available in: English

Book Details


Table of Contents

The decoded company
Technology as a coach
Technology as a trainer
Data as a sixth sense
Engineered ecosystems
Getting started.

Edition Notes

Includes bibliographical references and index.

Classifications

Dewey Decimal Class
658.3/14
Library of Congress
HD58.7 .S435 2014

The Physical Object

Pagination
326 pages
Number of pages
326

Edition Identifiers

Open Library
OL27157286M
ISBN 10
1591847141
ISBN 13
9781591847144
LCCN
2013039082
OCLC/WorldCat
862066382

Work Identifiers

Work ID
OL19977129W

Community Reviews (0)

No community reviews have been submitted for this work.

Lists

Download catalog record: RDF / JSON