A Teaching Case Exploring The Development & Value Of A Retail Dashboard

This teaching case reports the development of a Dashboard designed to build a comprehensive picture (view) of an organization’s customer-base. After more than 40 years of research focused on enhancing managerial support for decision-making through technology, the observation that, developing IT applications that are truly useful for top management is a highly complex and uncertain task, is still as valid as ever. The resulting Business Intelligence and Data Warehousing system supports the delegation and decentralization of decision-making and control in the organization as top managers have guarantees that their subordinates have access to reliable and timely information. This case demonstrates the utilization of IT (Data warehousing and On-Line Analysis Processing) to aid organizational decision-making through trend analysis, resulting in competitive advantage. Therefore, as a result, closer relationships with customers are developed. Additionally, this case can and is actively used to support teaching in undergraduate and postgraduate programmes undertaking Data Warehouse and Business Intelligence development, IT infrastructure and Networking (for connectivity)

Empowering BI users: The impact of reporting automation. A case study in a retail company

Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceBusiness Intelligence continues to be a trending topic, but organizations vary in their maturity levels when it comes to utilizing analytics and data for decision-making. One of the main components of Business Intelligence is reporting. Reporting automation can save time and resources and improve the quality of the outputs. However, one question arises. How does report automation, moving from a static report to a dynamic dashboard, change the Business Intelligence experience? By following the Design Science Research Methodology this research studies the impacts on the user experience of automatizing an obsolete PowerPoint report using Power BI. The results of this change on both technical and business users were tested using quantitative data gathered through a user satisfaction survey. Results show that Perceptibility, Completeness and Efficiency are the most impacted factors. The research was conducted in a retail company and its results contributed to improving the efficiency of the teams’ work, and, at the same time, to raise awareness about the advantages and potential of using BI tools to support decision-making

Faculty Senate Monthly Packet January 2020

The January 2020 Monthly packet includes the January agenda and appendices and the Faculty Senate minutes and attachments from the meeting held December 2, 2019

Faculty Senate Monthly Packet January 2020

The January 2020 Monthly packet includes the January agenda and appendices and the Faculty Senate minutes and attachments from the meeting held December 2, 2019

Faculty Senate Monthly Packet January 2020

The January 2020 Monthly packet includes the January agenda and appendices and the Faculty Senate minutes and attachments from the meeting held December 2, 2019

The Emerging Role of Universities in Collective Impact Initiatives for Community Benefit

Universities are increasing their efforts to more clearly demonstrate their social value. This article illustrates how higher education administrators can incorporate collective impact partnerships in their community benefit strategies. The article explores two of the more familiar paradigms for community benefit—community engagement and anchor institution. Collective impact principles and practices are then presented. Finally, a case study provides a tangible example of how one university’s role in a collective impact initiative transitioned in response to the community. We end the article with ten takeaways and an invitation for higher education administrators to identify their own learning and action steps that can help shift focus from proving to improving their institution’s value to the community

Exploring the Changing Teaching Practices and Needs of Business Faculty at Santa Clara University

This report will present the findings and recommendations of a study designed to explore Santa Clara University (SCU) business faculty’s current and emerging undergraduate teaching practices. The study was led locally by researchers in the SCU Library, with parallel studies conducted at fourteen other institutions of higher education in the United States during the 2018-19 academic year. These studies were coordinated at the national level by Ithaka S&R, a not-for-profit research and consulting service that helps academic and cultural communities serve the public good and navigate economic, technological, and demographic change. Ithaka will publish a capstone report of major themes across all fourteen institutions in Winter 2020 and will include recommendations that libraries, universities, and business schools can use to support the changing teaching practices of their business faculty

Development of a Database-Driven Management System for Retail Food Packaging Eye Tracking Studies

Within the past three years, approximately two hundred one-off studies have occurred in developing eye tracking methodologies for quantifying consumer attention on packaging design preference. Due to restricted time and resources, most research analyzes consumer attention regarding a relatively small amount of products within specific planogram. However, larger questions concerning category trends and insights are not possible with these smaller, one-off studies. Broad data aggregation and analysis is important for understanding packaging design per product category in order to understand category-wide design trends and insights. Considering the excessive effort in manual data retrieval, analysis, and reporting, a method that can improve efficiency and data aggregation would be of tremendous benefit to all researchers studying consumer behavior on relevant product categories. Ultimately, the application of the relational database management system fits this need. The work herein describes a procedure of developing a database-driven management system for retail food packaging eye tracking studies and the data analytics. A relational database of eye tracking studies associated with a web portal was designed and created to aggregate, store, access, share, and analyze eye tracking data based on studies in an immersive retail environment. The comparison between this system and the file-based methods was discussed, includes eye tracking study procedure, data usage efficiency, and data analysis methodology. This body of work covers 14 eye tracking projects in aggregate, involving 34 planograms comprised of a total of 421 consumer product goods. When using this database-driven system compared to the traditional file-based process in terms of time, it was found that the developed system reduced the time of the eye tracking study process by 48%