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Data Driven: Profiting from Your Most Important Business Asset
Thomas C. Redman
€ 36.99
€ 31.93
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Description for Data Driven: Profiting from Your Most Important Business Asset
Hardback. Num Pages: 272 pages, Illustrations. BIC Classification: KJM. Category: (P) Professional & Vocational. Dimension: 162 x 238 x 25. Weight in Grams: 552.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2008
Publisher
Harvard Business Review Press United States
Number of pages
272
Condition
New
Number of Pages
272
Place of Publication
, United States
ISBN
9781422119129
SKU
V9781422119129
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About 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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