Data Driven: Profiting from Your Most Important Business Asset

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Harvard Business Press, 22 set 2008 - 257 pagine
Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making.

In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals:

· The special properties that make data such a powerful asset

· The hidden costs of flawed, outdated, or otherwise poor-quality data

· How to improve data quality for competitive advantage

· Strategies for exploiting your data to make better business decisions

· The many ways to bring data to market

· Ideas for dealing with political struggles over data and concerns about privacy rights

Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.
 

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Stretches the imagination of what data can be

Recensione dell'utente  - jjeffnyc - Borders

This is an incredibly insightful book. Thoughtful in its approach and really pushes the reader hard to rethink the role that day plays in business and in the world. I was particularly interested in ... Leggi recensione completa

Sommario

Introduction
1
The Wondrous and Perilous Properties
11
The Often Hidden Costs of Poor Data and Information
35
Assessing and Improving Data Quality
53
Making Better Decisions
89
Bringing Data and Information to the Marketplace
111
Bringing Data and Information to the Marketplace
135
The Management System for Data and Information
157
Evolving the Management System for Data and Information
179
The Next One Hundred Days
207
The Ascent of Process
219
Metadata Processes
227
Copyright

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