Three leaders in intellectual capital management, Dr. Kuan-Tsae Huang, Professor Yang W. Lee, and Professor Richard Y. Wang, show how information can be assessed, evaluated, managed, and promulgated to make your business more responsive, efficient, and effective. They illustrate their ideas with real-world examples of companies that have faced million-dollar losses due to poor data management, as well as industry leaders who have prospered through Total Data Quality Management.
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* Manage your information as a product
* Capitalize your knowledge as assets
* Survive and prosper in the digital economy
One of your company's most valuable assets is going to waste!
Whatever business you're in, chances are you've never really assessed how you manage your most valuable product-information.
Now three leaders in intellectual capital management, Dr. Kuan-Tsae Huang, Professor Yang W. Lee, and Professor Richard Y. Wang, show how information can be assessed, evaluated, managed, and promulgated to make your business more responsive, efficient, and effective. They illustrate their ideas with real-world examples of companies that have faced million-dollar losses due to poor data management, as well as industry leaders who have prospered through Total Data Quality Management. Topics include:
* Fostering an environment for knowledge creation and sharing, especially in today's global businesses
* Transforming tacit understanding into explicit knowledge
* Capitalizing on organizational insights and creating quality information from organizational experience
* Creating customized solutions using intellectual capital, knowledge reuse, and data mining
* Defining the Information Product Manager's job description and responsibilities
* Making the most of your intranet and other corporate information systems
So you've spent millions on information systems to deliver knowledge throughout your company. How do you know you're not just sending bad information faster? Data quality management can bring great rewards in customer service, productivity, and responsiveness. Lack of data quality can cost your company millions. The authors take you step by step through assessing your information assets, planning and implementing quality controls, and institutionalizing continuous information quality improvement efforts. Learn how to structure knowledge management so that your company thrives even in times of high employee turnover.
Turn information into a product, not a by-product, and transform it into profitable knowledge.About the Author:
Kuan-Tsae Huang is a leader in the field of intellectual capital management. A vice-president of IBM, he is responsible for e-business applications. He was Director of Knowledge Management and Asset Reuse at the IBM Global Services, in charge of knowledge management and asset reuse across IBM Global Industries and Services. He won the 1998 Gold Medal of Giga Excellence Award on knowledge management and business process for IBM's innovative implementation and strategic use of Intellectual Capital Management AssetWeb. He has published widely on knowledge management. Dr. Huang received his Ph.D. degree from M.I.T.
Yang W. Lee is Assistant Professor at the College of Business Administration, Northeastern University and Associate Director for the Total Data Quality Management program at Massachusetts Institute of Technology. She co-founded Cambridge Research Group, a firm specializing in quality information and knowledge management. Her research focuses on information quality, institutional learning, and knowledge management. A recipient of the 1990 Distinguished Research Award from the Association of Management, she has published in leading journals such as Communications of the ACM, Sloan Management Review, and IEEE Computer. Professor Lee received her Ph.D. degree from M.I.T.
Richard Y. Wang is a pioneer and prominent leader in the field of information quality. He is Associate Professor at Boston University and Co-Director for the Total Data Quality Management program at Massachusetts Institute of Technology where he has been a professor for a decade. Professor Wang has published extensively in top journals on developing concepts, principles, tools, methods, and techniques related to information quality. His other books include Data Quality Systems (Cambridge Market Intelligence), Models of Information Quality (Kluwer Academic Publishers), and Information Technology in Action (Prentice Hall). Professor Wang received his Ph.D. degree from M.I.T.
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