Data Driven: Profiting from Your Most Important Business Asset

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Harvard Business Press, Sep 22, 2008 - Business & Economics - 257 pages
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· The hidden costs of flawed, outdated, or otherwise poor-quality data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.

What people are saying - Write a review

Stretches the imagination of what data can be

User Review  - 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 ... Read full review


The Wondrous and Perilous Properties
The Often Hidden Costs of Poor Data and Information
Assessing and Improving Data Quality
Making Better Decisions
Bringing Data and Information to the Marketplace
Bringing Data and Information to the Marketplace
The Management System for Data and Information
Evolving the Management System for Data and Information
The Next One Hundred Days
The Ascent of Process
Metadata Processes

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