[AISWorld] IJBIR Issue

[Richard Herschel]

The contents of the latest issue of:

International Journal of Business Intelligence Research (IJBIR)

Official Publication of the Information Resources Management Association

Volume 2, Issue 2, April-June 2011

Published: Quarterly in Print and Electronically

ISSN: 1947-3591 EISSN: 1947-3605

Published by IGI Publishing, Hershey-New York, USA

www.igi-global.com/ijbir

 

Editors-in-Chief: Richard T. Herschel, Saint Joseph's University, USA; and Olivera Marjanovic, University of Sydney, Australia

 

EDITORIAL PREFACE

 

Richard T. Herschel, Saint Joseph’s University, USA

Olivera Marjanovic, University of Sydney, Australia

 

To read the preface, click on the link below, and then click "Preface."

http://www.igi-global.com/bookstore/titledetails.aspx?titleid=47907

 

PAPER ONE

 

Uncovering Actionable Knowledge in Corporate Data with Qualified Association Rules

 

Nenad Jukic, Loyola University Chicago, USA

Svetlozar Nestorov, University of Chicago, USA

Miguel Velasco, University of Minnesota, USA

Jami Eddington, Oklahoma State University, USA

 

Association rules mining is one of the most successfully applied data mining methods in today’s business settings (e.g. Amazon or Netflix recommendations to customers). Qualified association rules mining is an extension of the association rules data mining method, that uncovers previously unknown correlations that only manifest themselves under certain circumstances (e.g. on a particular day of the week), with the goal of improving action results, e.g. turning an underperforming campaign (spread too thin over the entire audience) into a highly targeted campaign that delivers results. Such correlations have not been easily reachable using standard data mining tools so far. This paper describes the method for straightforward discovery of qualified association rules and demonstrates the use of qualified association rules mining on an actual corporate data set. The data set is a subset of a corporate data warehouse for Sam’s Club, a division of Wal-Mart Stores, INC. The experiments described in this paper illustrate how qualified association rules supplement standard association rules data mining methods and provide additional information which can be used to better target corporate actions.

 

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/bookstore/article.aspx?titleid=53865

 

PAPER TWO

 

Champion for Business Intelligence: SMART Goals for Business Focused and Financially Backed Results

 

Irina Dymarsky, Purdue Pharma, USA

 

Although Gartner’s EXP 2006 CIO Survey ranked Business Intelligence (BI) as the top technology priority, BI projects face tough competition from other projects in IT portfolios promising more tangible financial returns (Wu & Weitzman, 2006) Two major hurdles that prevent BI projects from shining in portfolios are vague requirements and weak benefits calculations. Both can be addressed by examining and learning from a number of case studies that prove tangible ROI on BI solutions when scoped and designed with a focus on specific, measurable, achievable, results-oriented, and time bound SMART business goals. In order for BI projects to compete in IT portfolios based on financial measures, like ROI, BI champions need to approach BI requirements gathering with the goal of addressing a specific business problem as well as employ standard ways of calculating BI benefits post project go live. By examining common failures with BI requirements and case studies which demonstrate how successful BI implementations translate into tangible benefits for the organization, BI champions develop a toolkit of tips, tricks, and lessons learned for successful requirements gathering, design, implementation, and measure of business results on BI initiatives.

 

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/bookstore/article.aspx?titleid=53866

 

PAPER THREE

 

10 Principles to Ensure Your Data Warehouse Implementation is a Failure

 

Adam Hill, The Nielsen Company, USA

Thilini Ariyachandra, Xavier University, USA

Mark Frolick, Xavier University, USA

 

Demand for business intelligence solutions continues to grow in the industry at record rates to combat competitive pressures and to attain business agility. Still organizations continue to struggle on how to implement successful business intelligence solutions. Despite its growing popularity and maturity as a field, it appears that organizations follow key guidelines that ensure the failure of their business intelligence implementation. This paper highlights ten major principles that organizations follow to ensure the failure of their BI solution and in so doing describes how to avoid BI failure in terms of strategy and design, implementation management and communication, and technology and resource investment for BI solutions.

 

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/bookstore/article.aspx?titleid=53867

 

PAPER FOUR

 

Business Intelligence Conceptual Model

 

Fletcher H. Glancy, Lindenwood University, USA

Surya B. Yadav, Texas Tech University, USA

 

A business intelligence conceptual model (BISCOM) is proposed as a process-focused design theory for developing, understanding, and evaluating business intelligence (BI) systems. Previous work has concentrated on subsets of the BI systems, use of BI tools, and specific business functional area requirements. BISCOM provides a unified and comprehensive design theory that integrates and synthesizes existing research. It extends existing research by proposing functionality that does not currently exist in BI systems. The BISCOM is validated through descriptive methods that demonstrate the model utility and through prototype creation to demonstrate the need for BISCOM.

 

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/bookstore/article.aspx?titleid=53868

 

PAPER FIVE

 

Mitigating Risk: Analysis of Security Information and Event Management

 

Ken Lozito, GSK, USA

 

Business Intelligence (BI) has often been described as the tools and systems that play an essential role in the strategic planning process of a corporation. The application of BI is most commonly associated with the analysis of sales and stock trends, pricing and customer behavior to inform business decision-making. There is a growing trend in utilizing the tools and processes used in the analysis of data and applying them to security event management. Security Information and Event Management (SIEM) has emerged within the last 10 years providing a centralized source to enable both real-time and deep level analysis of historical event data to drive security standards and align IT resources in a more efficient manner.

 

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/bookstore/article.aspx?titleid=53869

 

*****************************************************

For full copies of the above articles, check for this issue of the International Journal of Business Intelligence Research (IJBIR) in your institution's library. This journal is also included in the IGI Global aggregated "InfoSci-Journals" database: http://www.igi-global.com/EResources/InfoSciJournals.aspx. *****************************************************

 

CALL FOR PAPERS

 

Mission of IJBIR:

 

The mission of the International Journal of Business Intelligence Research (IJBIR) is to advance research in the field of business intelligence and analytics. IJBIR is a peer-reviewed publication dedicated to the exchange of the latest ideas and research on all aspects of practicing and managing business intelligence in organizations. This journal publishes original research, case studies, and critical analyses by academic, business, and government contributors on strategies, practices, techniques, and technologies that advance the understanding and practice of business intelligence. The focus of this journal is to identify innovative business intelligence strategies and to assess the application of theoretical concepts to real-world situations. IJBIR takes a multidisciplinary approach to the examination of business intelligence.

 

Coverage of IJBIR:

 

The International Journal of Business Intelligence Research (IJBIR) examines all aspects of the business intelligence discipline, including organizational issues, technological developments, educational issues, and analytical techniques that foster or inhibit evidence-based decision-making in organizations. This journal provides a global forum for the investigation and reporting of diverse aspects and issues that affect business intelligence. IJBIR promotes submissions from all regions of the world that address the theories and practices that impact the field of business intelligence.

 

High quality submissions are encouraged using qualitative or quantitative research methodologies. Submissions are especially encouraged covering the following topics:

 

* Analyses of business intelligence applications and analytics

* Best practices in business intelligence

* Business intelligence and CRM

* Business intelligence and market basket analysis

* Business intelligence education

* Business intelligence in small and medium enterprises

* Business intelligence technology utilization in organizations

* Business intelligence training issues

* Case studies in business intelligence

* Critical assessments of business intelligence solutions

* Critical success factors in business intelligence adoption and practice

* Data warehousing and data mining strategies for business intelligence

* Development of business intelligence architectures

* Enablers and inhibitors for business intelligence

* Examination of the use of analytics in support of business processes and decision-making

* Global issues in business intelligence

* Group practices in business intelligence

* Issues pertaining to analyst/decision-maker interactions

* Knowledge transfer and sharing behaviors in business intelligence

* Methodologies and processes for managing business intelligence activities

* Metrics and their effectiveness in business intelligence analyses

* Organizational culture and its impact on business intelligence

* Relationship between knowledge management and business intelligence

* Retail business intelligence and analytics

* Theories that enlighten business intelligence & decision-making

* Trends in business intelligence research

* Using business intelligence for security analysis and fraud detection

 

Interested authors should consult the journal's manuscript submission guidelines www.igi-global.com/ijbir.

 

All inquiries and submissions should be sent to:

Editors-in-Chief: Dr. Richard T. Herschel at IJBIReditor at gmail.com, and Dr. Olivera Marjanovic at olivera.marjanovic at sydney.edu.au

Richard T. Herschel
Professor & Chair, Decision & System Sciences
Saint Joseph's University
5600 City Ave.
Philadelphia, PA 19131
MV 331, 610 660-1621
herschel at sju.edu

Editor-in-Chief, IJBIR
http://www.igi-global.com/journals/details.asp?id=34414

Education Channel Expert
B eye NETWORK
http://www.b-eye-network.com/channels/1531/

Business Intelligence
discover - evaluate - decide








-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.aisnet.org/pipermail/aisworld_lists.aisnet.org/attachments/20110512/94d1a35b/attachment.html>