Management Factors for Strategic BI Success

Management Factors for Strategic BI Success

Somya Chaudhary (Bellsouth Telecommunications Inc., USA)
DOI: 10.4018/978-1-59140-206-0.ch010
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Abstract

This chapter focuses on the factors necessary for strategic Business Intelligence (BI) success from a managerial point of view. BI results from the various information and human knowledge source systems, as well as the holistic view of the business processes within an organization. However, for the BI process to be synergetic within an organization, the management of the organization should be responsible for providing an environment that is conducive to yielding optimum BI generation and utilization. The goal should be to maximize the resources and minimize the inefficiencies that are systematic within an organization. Open lines of communication, with shared goals and objectives, and organization-wide standards are crucial for overall success. The factors for BI success are all interrelated and non-sequential. However, each needs to be executed and communicated with complete diligence on part of the management for overall strategic success. Lastly, to accommodate a healthy and ethical BI environment, the corporate philosophy and work methodologies may warrant necessary modification.

Complete Chapter List

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Dedication
Table of Contents
Foreword
Thomas L. Hill
Preface
Mahesh S. Raisinghani
Acknowledgment
Mahesh S. Raisinghani
Chapter 1
Clare Brindley, Bob Ritchie
This chapter proposes that the initial perceptions of uncertainty and risk relating to decision making are unlikely to be modified irrespective of... Sample PDF
Reducing Risk in Information Search Activities
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Chapter 2
Mahesh Raisinghani, John H. Nugent
This chapter presents a high-level model for employing intelligent agents in business management processes, much like has been successfully... Sample PDF
Intelligent Agents for Competitive Advantage: Requirements and Issues
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Chapter 3
Andi Baritchi
In today’s business world, the use of computers for everyday business processes and data recording has become virtually ubiquitous. With the advent... Sample PDF
Data Mining and Knowledge Discovery
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Chapter 4
Ulfert Gartz
Although capacity and functionality of information management systems increased remarkably in the last years, the information and knowledge supply... Sample PDF
Enterprise Information Management
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Chapter 5
Rahul Singh, Lakshmi Iyer, Al Salam
This chapter presents an Intelligent Knowledge-Based Multi-Agent Architecture for Collaboration (IKMAC) in B2B e-Marketplaces. IKMAC is built upon... Sample PDF
An Intelligent Knowledge-Based Multi-Agent Architecture for Collaboration (IKMAC) in B2B e-Marketplaces
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Chapter 6
Dan Sullivan
As the demand for more effective Business Intelligence (BI) techniques increases, BI practitioners find they must expand the scope of their data to... Sample PDF
Text Mining in Business Intelligence
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Chapter 7
James E. Skibo
This chapter describes both the nature of trade allowances and the unique approach taken by one major retailer in overcoming legacy system obstacles... Sample PDF
Bypassing Legacy Systems Obstacles: How One Company Built Its Intelligence to Identify and Collect Trade Allowances
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Chapter 8
Edilberto Casado
This chapter explores the opportunities to expand the forecasting and business understanding capabilities of Business Intelligence (BI) tools with... Sample PDF
Expanding Business Intelligence Power with System Dynamics
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Chapter 9
Jeffrey Hsu
Most businesses generate, are surrounded by, and are even overwhelmed by data — much of it never used to its full potential for gaining insights... Sample PDF
Data Mining and Business Intelligence: Tools, Technologies, and Applications
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Chapter 10
Somya Chaudhary
This chapter focuses on the factors necessary for strategic Business Intelligence (BI) success from a managerial point of view. BI results from the... Sample PDF
Management Factors for Strategic BI Success
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Chapter 11
Hércules Antonio do Prado, José Palazzo Moreira de Oliveira, Edilson Ferneda, Leandro Krug Wives, Edilberto Magalhaes, Stanley Loh
Business Intelligence (BI) can benefit greatly from the bulk of knowledge that stays hidden in the large amount of textual information existing in... Sample PDF
Transforming Textual Patterns into Knowledge
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Chapter 12
John D. Wells, Traci J. Hess
Many businesses have made or are making significant investments in data warehouses that reportedly support a myriad of decision support systems... Sample PDF
Understanding Decision-Making in Data Warehousing and Related Decision Support Systems: An Explanatory Study of a Customer Relationship Management Application
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Chapter 13
Hamid R. Nemati, Christopher D. Barko, Ashfaaq Moosa
Electronic Customer Relationship Management (e-CRM) Analytics is the process of analyzing and reporting online customer/visitor behavior patterns... Sample PDF
E-CRM Analytics: The Role of Data Integration
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About the Authors