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Synopsis
This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. Additionally. it progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration.
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About the Author
Dr. Jerzy Surma is an assistant professor at Warsaw School of Economics and a director of postgraduate studies on business intelligence. Prior to his teaching positions, he worked as a business consultant in an information management group and was responsible for the design and implementation of business intelligence solutions for international companies. He is a member of the Strategic Management Society and IESE Business School Alumni. Currently, Dr. Surma has been working on applying advanced data mining techniques in reality mining and analytical customer relationship management.
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Business Intelligence: Making Decisions through Data Analytics (AGENCY/DISTRIBUTED)
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Business Intelligence : Making Decisions Through Data Analytics
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Business Intelligence: Making Decisions Through Data Analytics (Paperback or Softback)
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Business Expert Press 3/6/2011, 2011
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Business Intelligence (Strategic Management Collection)
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Business Intelligence
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ISBN 10: 1606491857
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Paperback. Condition: New. This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration. Seller Inventory # LU-9781606491850
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