Profiting from Your Most Important Business Asset
By (author) Thomas C. Redman
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Data Driven by Thomas C. Redman
Book DescriptionYour 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 The author reveals: * The special properties that make data such a powerful asset * The hidden costs of flawed, outdated, or otherwise poor-quality data * How to improve data quality for competitive advantage * Strategies for exploiting your data to make better business decisions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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Book DetailsISBN: 9781422119129
(241mm x 165mm x 23mm)
Imprint: Harvard Business Review Press
Publisher: Harvard Business Review Press
Publish Date: 25-Sep-2008
Country of Publication: United States
Books By Author Thomas C. Redman
Getting in Front on Data, Paperback (September 2016)» View all books by Thomas C. Redman
This book lays out the roles everyone, up and down the organization chart, can and must play to ensure that data is up to the demands of its use, in day-in, day-out work, decision-making, planning, and analytics.
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Author Biography - Thomas C. Redman
Thomas C. Redman is President of Navesink Consulting Group and was the first to extend quality principles to data and information. He is the author of Data Quality: The Field Guide, Data Quality for the Information Age, and Data Quality: Management and Technology.
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