Data is a powerful tool for the healthcare industry to use for managing, analyzing, and reporting on critical events in the field. The analysis of broad, salient data files aids healthcare businesses in uncovering hidden patterns, market trends, and customer preferences; these details may then be used to improve the quality and delivery of care to…

The expansion of technical concepts into everyday business practices suggests a need for effectively teaching difficult subjects to non-technical users. This paper describes hands-on analogy, an innovative method for teaching technically difficult concepts using interactive, experiential learning activities and a gamified exercise. We demonstrate…

This paper describes an innovative approach for teaching the challenges in the management of data warehouse development. The approach contains lecture material providing conceptual background about the management of data warehouse development, a simulation game supporting experiential learning, and a post-play debriefing to support synthesis of…

Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments…

The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…

Academic standards and performance outcomes are a major focus of the current Cycle 2 Australian Universities Quality Agency (AUQA) audits. AUQA has clearly stated that universities will need to provide "evidence of setting, maintaining, and reviewing institutional academic standards and outcomes" (2010, p. 27). To do this, universities…

Despite all the speeches, articles, and meetings about data-based instructional decision making, the author's observation after more than 20 years of working with middle and high school teams is that teachers and administrators often make important instructional decisions on the basis of historical precedent, anecdotal information, experience, or…

Data mining is an emerging field of study in Information Systems programs. Although the course content has been streamlined, the underlying technology is still in a state of flux. The purpose of this paper is to describe how we utilized Microsoft Excel's data mining add-ins as a front-end to Microsoft's Cloud Computing and SQL Server 2008 Business…

Describes applications of microcomputers to aspects of accounting and auditing, including such areas as financial statements, recordkeeping, and operations analysis. (SK)

Studies the similarities and differences between data processing and word processing. Recommends the merger of the two technologies into a system that can provide both functions effectively. (SK)

Offers several reasons, including the security of the administrative file, for the separation of instructional and administrative computing on campus. (IRT)

The administrative data processing department at Michigan State provides support to all colleges and departments, and designs, programs, tests, and implements university management systems. A steering committee determines priorities for development projects and provides a sounding board for long-range plans of information systems. (MLW)

Improved data processing services have increased efficiency and productivity at Pacific Lutheran. By performing administrative tasks more efficiently, the university can maintain accurate records, report information promptly, and extend better overall service to the university community. (MLW)

The ability of operating departments of an institution to mechanically gather, summarize, and report "local" data is discussed. Problems are outlined that arise when departments have the ability to produce data and do so with rigorous quality control by the institution's central information management organization. (MLW)

With a unique organizational structure, the Rockefeller University's need for administrative information systems is different from most institutions of higher education. The financial reporting needs of the many different laboratories led the university to purchase a computer-based accounting system. (MLW)