Data Driven: Profiting from Your Most Important Business AssetHarvard Business Press, 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 The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions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. |
Altre edizioni - Visualizza tutto
Data Driven: Profiting from Your Most Important Business Asset Thomas C. Redman Anteprima limitata - 2008 |
Parole e frasi comuni
assets AT&T bad data baseline Bell Labs best data better bring data business processes chapter chief data office ChoicePoint clients companies content providers costs create customer-supplier model data and information data council data mining data modeling data quality data quality program data warehouse database decision makers define demands departments develop Edwards Deming effort employees errors exactly the right example figure focus focused habits Harvard Business Harvard Business School identify important improvement industry infomediators Information Age information appliances information asymmetries Informationalization inputs Interactive Data Internet investment involves issues little-p manufacturers marketplace mation measurement ment metadata Morningstar operations opportunities organization’s organizational organizations percent poor data potential privacy and security problem process management question recognize repackagers reports require responsible right data role share simply sources step strategy suppliers technical technologies Tele-Tech tion trade trust unbundling understand