Data Mining and Business Intelligence: A Guide to Productivity
| Author | : | |
| Rating | : | 4.42 (711 Votes) |
| Asin | : | 1930708033 |
| Format Type | : | paperback |
| Number of Pages | : | 180 Pages |
| Publish Date | : | 2016-10-24 |
| Language | : | English |
DESCRIPTION:
Diehl, Global Operations Team Leader, BOC GasesThe authors provide an overview of data mining technology and how it is applied in a business environment. "This book takes the reader on a comprehensive tour through the methods and the tools required to transform data into meaningful information and knowledge." -- Matthew J. -- Business Horizons, September-October 2001“Provides an overview of data mining technology and how it is applied in a business environment.” -- Book News, Inc., 4-1-01
In 1999 he returned to independent consulting and is currently based in Amsterdam in the Netherlands. He is now an economic consultant with Cognos Corporation where he applies data mining and business intelligence technology to devise productivity enhancing strategies for organizations around the globe. After initially working as a consultant, he started Right Information Systems (RIS),
Methodologies are described that solve a variety of business problems and enhance firm-level efficiency in a less technical, managerial style. The book also incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. An overview of data mining technology and how it is applied in a business environment. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various software applications that promote efficiency for the firm.
Data Mining and Business Intelligence Vincent Polito, International Chairman, Business Intelligence in Knowledge Management Committee Finally, a practical book that discusses the use of data mining technologies from the position of "adding value" to the business, and tied to fundamental proven economic methods.The focus of the book is on connecting information technologies and tools to the "business drivers." Data mining technologies frequently are misunderstood, inappropriately planned and deployed, and typically left to the mathematicians instead of putting the tools in the hands of those who could us. "Give it a shot, you won't regret it!" according to A Customer. The market is saturated with IT/business books and often times it's hard to spot something that in fact might be useful. This book seems to be one of those few picks. Without going into a Give it a shot, you won't regret it! The market is saturated with IT/business books and often times it's hard to spot something that in fact might be useful. This book seems to be one of those few picks. Without going into a 300 page narrative, the authors manage to clearly address their points and fill in the bottomless gap between sophisticated IT and business solutions. Data Mining became a hot topic only a few years ago, but it has a great future. The earlier you get a handle on it, the better chance you. 00 page narrative, the authors manage to clearly address their points and fill in the bottomless gap between sophisticated IT and business solutions. Data Mining became a hot topic only a few years ago, but it has a great future. The earlier you get a handle on it, the better chance you. Jeffrey G. Nicola said Jeff Nicola, Business Strategy Consultant. This book, following a conversational yet didactic format, touches upon the critical issues surrounding the effective use and implementation of business intelligence tools / concepts. Kudyba and Hoptroff have distilled the salient features of complex data preparation, analysis, and presentation methodologies with the average business user in mind. It was refreshing to finally find a book that attempts to "put all the BI - instead of the BS - together" for the enterprise.