scholarly journals A Research on the Use of Business Intelligence and Analytics Applications at Turkish Universities

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 10
Author(s):  
Gülin Ülker ◽  
Erman Coşkun

As a result of the changes in higher education, universities are utilizing business intelligence and analytics applications, which are private-sector practices. This study aimed to determine the extent of the use of business intelligence and analytics applications at Turkish universities. For this purpose, case studies were conducted at 12 Turkish universities that have different characteristics. Case studies were conducted face to face as semi-structured interviews. It was revealed that universities use information systems for their business processes; however, they lack the utilization of business analytics applications, especially predictive and prescriptive analytics.

2019 ◽  
Vol 1 (1) ◽  
pp. 1028-1035
Author(s):  
Aleksandra Grabińska ◽  
Leszek Ziora

AbstractThe goal of the paper is to present the application of Business Intelligence systems belonging to the area of business analytics in the domain of logistics and particularly indicate its role and meaning in supporting logistics decision making processes. Its content embraces the characteristic of BI systems, its functionality, construction and benefits resulting from its implementation. The paper also presents review of research and case studies connected to the BI usage in such areas of logistics as optimization of supply chain, managerial dashboard design and improvement of business processes.


2010 ◽  
Vol 1 (2) ◽  
pp. 1-8 ◽  
Author(s):  
Thomas Coghlan ◽  
George Diehl ◽  
Eric Karson ◽  
Matthew Liberatore ◽  
Wenhong Luo ◽  
...  

Business intelligence and analytics in general are currently experiencing a resurgence in interest from both the business and academic communities. As a response, a Business Analytics Special Interest Group (SIG) was formed at Villanova University in 2007 to better link these two communities and support the growing needs of business. As a multi-disciplinary group composed of both analytics professionals and academics, one of the first tasks was to investigate how businesses viewed analytics and how they were incorporating them in actual practice. With this in mind, an interview questionnaire was developed and senior-level executives from a diverse group of sixteen different firms were interviewed in a group context. Their responses led to the development of a new, integrated analytics curriculum and the establishment of a new Analytics Round Table. The results from this series of semi-structured interviews are presented in this paper.


2014 ◽  
Vol 4 (4) ◽  
pp. 59
Author(s):  
Ilse Baumgartner

Since more than a decade, all kinds of businesses and organisations are intensively exploring enterprise-level information systems to better integrate their business processes, information flows and people. Consequently, the industry demands for technically skilled, but also “business-savvy” IT professionals are permanently growing. To meet this need, more and more computing education programs try to incorporate enterprise-level information systems into their curricula. While there is some computing education research done to investigate the need for this new type of IT-business professional and to analyse general implications for higher education, only very few research works or practice papers exist which report on concrete attempts to design and deliver higher education computing courses which intensively use enterprise-level systems. In this paper, the author reports on a series of experiences made within the Bachelor of Science (Information Systems Management) degree program offered by the School of Information Systems (SIS) at the Singapore Management University (SMU). The primary focus of this paper is put on establishing a working set of best practices for the design of an effective structure of the face-to-face teaching sessions for courses which use enterprise-level systems and applications in their curricula. While this paper is principally based on education experiences made within the frame of an Information Systems program, the best practices presented in this paper are equally applicable to any other computing education field or even to the engineering education in general.


2006 ◽  
Vol 14 (1) ◽  
Author(s):  
Geraldine A. Price

Research into the behaviours manifested by the dyslexic condition has often focused upon younger dyslexic pupils and the lower-order skill difficulty in decoding and encoding. A surge in interest in the writing process has shifted the focus to higher-order skills, and a growing body of research is emerging within the higher education context (Hughes & Suritsky, 1994; McNaughton et al., 1997; Hatcher, 2001; Singleton & Aisbett, 2001; Farmer et al., 2002). Students are expected to be ‘expert’ writers, and the mark of a good student is the ability to use writing as a tool for thinking. Drawing upon data from semi-structured interviews with undergraduate and postgraduate dyslexic students and their real-time writing logs, three case studies are presented and used to explore creative ways of using technology to manage dyslexia. The students demonstrate how they use different types of software to overcome writing anxiety, ‘fear of the blank page’ syndrome and issues of plagiarism. The experiences of the students within the case studies demonstrate that often simple software can provide the best solutions, and that students combine features from software programs in creative ways to compensate for weaknesses in their cognitive profile.DOI: 10.1080/09687760500479894


Author(s):  
S. YU. Kuznetsov

Business intelligence is a new management tool of an innovative enterprise. Business intelligence as a continuous innovation in business analytics of the new intellectual enterprise can integrate all activities into an efficient and sustainable business organization. BI promotes the prosperity of the firm, through intelligent management of strategies, finance, marketing, business processes, staff and assets in a world of unlimited information.


2021 ◽  
Vol 4 (2) ◽  
pp. 31
Author(s):  
Alison Clapp

 AbstractDuring the COVID-19 pandemic there has been an almost universal pivot to emergency online teaching in higher education, requiring staff development as online teaching differs from teaching face-to-face. The transition has been at short notice, with rapidly created training and little time to engage. Past research into the transition to teach online is scarce. The study described here, carried out in the year before COVID-19, aimed to investigate the how previous experiences of learning and training affected transition, and how staff made sense of the experience, adding to knowledge on successful transition to teaching online distance learning courses. Interpretive phenomenological analysis was carried out after interviewing five experienced online teaching staff in a Graduate School, using semi-structured interviews and open-ended questioning. The overarching themes found were connections to online learning and teaching communities, and developing membership of, and activities in, these communities themselves. Staff with good connections to the online teaching community via other experienced staff, training, and prior experience as online students were able to make the transition to teach online with comparative ease, compared to those who did not. With little connection to the online teaching community, transition was slow and staff retained a greater connection to face-to-face teaching and its community. Post-pandemic, the study suggests that designs for staff development, relational agency (working for short periods with online teaching experts) and situated learning within an online environment are beneficial if elements of online learning and teaching are to be retained for the future.


2017 ◽  
Vol 34 (2) ◽  
pp. 189-202 ◽  
Author(s):  
Kim Burwell

While studio-based instrumental and vocal learning is widely regarded as both important and effective in higher education music, research to date has offered little concrete information about studio practices that students have regarded as ineffective. Two recent case studies investigated what appear to be exceptional instances in which students expressed dissatisfaction with the approaches taken by their current teachers. In this paper, data from these studies is mined again, focusing particularly on verbal behaviour from semi-structured interviews. The two studies are compared with each other and with data from a broader study from which they had been drawn, asking how the ‘dissonant’ cases are distinct, and how student interviews might cast fresh light on the complexities of studio practices.


2017 ◽  
Vol 12 (1) ◽  
pp. 21-40 ◽  
Author(s):  
Billy Tak Ming Wong

Purpose The purpose of this paper is to present a systematic review of the mounting research work on learning analytics. Design/methodology/approach This study collects and summarizes information on the use of learning analytics. It identifies how learning analytics has been used in the higher education sector, and the expected benefits for higher education institutions. Empirical research and case studies on learning analytics were collected, and the details of the studies were categorized, including their objectives, approaches, and major outcomes. Findings The results show the benefits of learning analytics, which help institutions to utilize available data effectively in decision making. Learning analytics can facilitate evaluation of the effectiveness of pedagogies and instructional designs for improvement, and help to monitor closely students’ learning and persistence, predict students’ performance, detect undesirable learning behaviours and emotional states, and identify students at risk, for taking prompt follow-up action and providing proper assistance to students. It can also provide students with insightful data about their learning characteristics and patterns, which can make their learning experiences more personal and engaging, and promote their reflection and improvement. Originality/value Despite being increasingly adopted in higher education, the existing literature on learning analytics has focussed mainly on conventional face-to-face institutions, and has yet to adequately address the context of open and distance education. The findings of this study enable educational organizations and academics, especially those in open and distance institutions, to keep abreast of this emerging field and have a foundation for further exploration of this area.


Author(s):  
O. Vasylenko

The article studies domestic and foreign papers and defines the main tendencies of applying business analytics in business management. The information volume and change space is expected provide for tenfold increase in 3 years. The success of management decisions will depend on the speed of response to new technological opportunities and quality analysis using modern systems. The experience in modern tools of business analytics application in the field of running business and entrepreneurship is investigated. The expediency of business analytics tools and methods application and mechanisms of business processes optimization in management organization of an agricultural institution of higher education is proved. Business analytics tools that can be used to monitor the activities of agricultural institution of higher education were identified. The online visualize and BI-platform Tableau Public were used to analyze the market of agricultural education services according to various competitiveness criteria. The ability to import data from online sources and various document formats, the ability to simultaneously visualize several criteria using different forms of data presentation and filters, as well as instant automatic changes in analytics when changing data are the advantages of using these tools. The algorithm of competitive strategy in the BP Simulator business process simulator is developed. It includes six stages of development: studying the educational services market and defining the needs of consumers of various groups of stakeholders; identification of leaders in the educational services market; identification of strengths and weaknesses of competitors; self-analysis of the institution running, identification of its own strengths and weaknesses; differentiation of services in order to create a unique service; designing a competitive strategy. Key words: business analytics, business process, institution of higher education, competitiveness, internal quality management system, educational services market, student, stakeholders.


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