Advanced analytics: opportunities and challenges

Bose, Ranjit

doi:10.1108/02635570910930073

Cited by 236 publications

(169 citation statements)

References 16 publications

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“…BA are not a technology but a group of approaches, organizational procedures and tools used in combination with one another to gain information, analyze that information, and predict outcomes of problem solutions in any of the four areas of SCOR (Plan, Source, Make, and Deliver) (definition adapted from [9]). …”

Section: Theoretical Backgroundmentioning

confidence: 99%

The impact of business analytics on supply chain performance

Trkman

McCormack

Oliveira

et al. 2010

Decision Support Systems

366

233

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The paper investigates the relationship between analytical capabilities in the plan, source, make and deliver area of the supply chain and its performance using information system support and business process orientation as moderators. Structural equation modeling employs a sample of 310 companies from different industries from the USA, Europe, Canada, Brazil and China. The findings suggest the existence of a statistically significant relationship between analytical capabilities and performance. The moderation effect of information systems support is considerably stronger than the effect of business process orientation. The results provide a better understanding of the areas where the impact of business analytics may be the strongest.

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Section: Theoretical Backgroundmentioning

confidence: 99%

The impact of business analytics on supply chain performance

Trkman

McCormack

Oliveira

et al. 2010

Decision Support Systems

366

233

View full text Add to dashboard Cite

show abstract

“…An effective and successful knowledge culture absolutely requires the visible support of top leadership (Bose, 2009;Cantner et al, 2009;Cheung, Li, Shek, Lee, & Tsang, 2007;Herschel & Jones, 2005). This is a condition of success.…”

Section: Knowledge Culturementioning

confidence: 99%

“…As this study aims to integrate practical applications, Bose's managerial interpretation of knowledge transfer is of particular interest. According to Bose, the purpose of knowledge transfer is to get the right information to the right people at the right time so they can make organizational decisions based on this information (Bose, 2009). Ultimately, the objective of knowledge transfer is to "promote and facilitate knowledge sharing, collaboration, and networking for better decision-making and effective problem solving" (S. C. Chong et al, 2011, p. 503).…”

Section: Knowledge Transfermentioning

confidence: 99%

An Examination of the Influence of Organizational Structure Types and Management Levels on Knowledge Management Practices in Organizations

Steiger¹,

Hammou²,

Galib³

2014

IJBM

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The purpose of this study was to investigate the difference between organizational structure types, and management levels, in terms of perceived levels of knowledge management practices within organizations. Data were collected from a sample of 155 individuals employed in San Diego County by way of a web-based survey, and were analyzed using analysis of variance (ANOVA). The results of the study indicate that the knowledge management practices of knowledge transfer, information filtering, and knowledge culture are influenced by organizational structure type. According to the study, knowledge sharing training is not significantly influenced by organizational structure type. Furthermore, the results of the study indicate there is no significant influence of management level on the knowledge management practices of knowledge transfer, information filtering, knowledge-sharing training, and knowledge culture. In summary, the results of this study solidify the assertion that organizational structure types do influence knowledge management practices.

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“…Potential areas for further exploration include exploring the relationship between student experience with hands-on labs and the ability of students to foster the organizational buy-in that is so important to effective use of a data warehouse in industry [11]. The labs may be reframed and modeled as a cloud service to increase exposure essential cloud computing concepts.…”

Section: Future Directionsmentioning

confidence: 99%

Design and Implementation of Web-Enabled Labs for Data Warehousing

Kourik¹

2013

IJIET

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Abstract-In the distance learning environment students are often working from remote locations. All or most of their interaction will be through the online course management system. Since students cannot attend a physical lab classroom there is a need for accessible labs to serve remote students and improve their understanding of data warehouse (DW) and the textbook materials. For the DW course specifically, a platform that supports student exploration of several features such as SQL, DW, Online Analytical Processing (OLAP), as well as design of the DW is needed. A data warehousing course that meets many recommendations from industry and academia has been successfully offered for several years at our school. The DW course is offered solely in the online format using Oracle products and datasets for labs. The class incorporates a data warehouse design process that includes planning the star schema as well as defining the metadata, physical design, and application views. The paper describes the lab for the data warehousing course, its design and implementation, the exercises students will complete in both design and data analysis, and the data warehousing tool itself.Index Terms-Web-enabled lab, data warehousing, online learning, distance education. I. INTRODUCTIONIn the distance learning environment students are often working from remote locations. All or most of their interaction will be through the online course. Since students cannot attend a physical lab classroom, accessible labs for remote students are needed to improve their understanding of data warehouse (DW) and the textbook materials. In the distance learning environment, data warehousing courses face specific challenges. In particular students need free software. The software needs to work with a variety of operating systems to provide platform independence. Further, the installation or use of DW should require no or minimal installation. Another barrier is the difficulty students must face to configure the DW software correctly for their systems [1]. For the DW course, a platform that supports student exploration of several features such as SQL, DW, Online Analytical Processing (OLAP), as well as design of the DW is needed.Data warehousing is one of many approaches in the broader field of Business Intelligence (BI). Research reveals rapid growth in the demand for professionals with skills in BI and analytics. Findings also indicate that there is a significant gap between demand and individuals with needed BI skills. Hence, there is a move to encourage more academic offerings to build capacity in all BI areas including data warehousing. Research also reveals that BI is truly an interdisciplinary field. Practitioners highlight that the need for analytical skills extends beyond technicians. Analytic skills are needed throughout the organization. Therefore educators have been encouraged to increase offerings that help develop BI and analytical skills for students across disciplines [2]- [4].Prior literature often examined ways to include data warehousing...

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Advanced analytics: opportunities and challenges

Cited by 236 publications

References 16 publications

The impact of business analytics on supply chain performance

The impact of business analytics on supply chain performance

An Examination of the Influence of Organizational Structure Types and Management Levels on Knowledge Management Practices in Organizations

Design and Implementation of Web-Enabled Labs for Data Warehousing

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