Data Driven: Profiting from Your Most Important Business AssetHarvard Business Press, 22.09.2008 г. - 257 страници 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 The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions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. |
Съдържание
| 1 | |
| 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 |
Други издания - Преглед на всички
Data Driven: Profiting from Your Most Important Business Asset Thomas C. Redman Ограничен достъп - 2008 |
Често срещани думи и фрази
answer assets better bring chapter clients communications companies complete continue copies costs course create customers data and information data quality database decision makers define demands departments develop difficult direction discussed effective effort errors exactly example execute facts figure Finally focus further habits hard identify illustrates important improvement individual industry interesting investment involves issues keep knowledge lead manufacturers means measurement meet noted operations opportunities organization’s organizations percent perhaps potential problem question reason recognize reports require responsible role share simply sources specific standards step strategy suppliers task technical technologies term things tion trade trust understand