Tag: Business Intelligence Degrees
Business Intelligence Degrees
The changing scope of business, technology and the link between these two disciplines with the ever increasing demands for human control of data and information have led to the development of a wide range of disciplines to meet the current and future trends. For instance, the educational curriculum in Turkey has adopted the teaching practice of Business Intelligence and Analytics as a relatively new field in the business and technology world. At the core of Business Intelligence and Analytics as a degree course in Turkey as provided by the Sabancı University is the specialization of the individuals studying the course in certain useful industrial techniques. This analysis considers the nature of the Business Intelligence and Analytics degree courses in Turkey as offered by Sabancı University. Moreover, the analysis will also delve into the a comparison of different institutions that offer Business Intelligence and Analytics degree courses within Turkey with a view to developing a postulate on the future trends that the course may have on the business and technological niche.
Business Intelligence and Analytics degree at Sabancı University pays special focus on the tools or mechanisms that experts usually adopt in a bid to categorize data for proper synthesis. The synthesized data is important in the sense that it helps organizations as well as other public and international agencies to obtain the requisite set of information from the available data (Zhang, 2011). The field of Business Intelligence and Analytics is most relevant since the graduates from such a bachelor’s degree or master’s degree in Business Intelligence and Analytics Sabancı University have the opportunity to obtain highly paying placements within the industry as technology or business decision makers under the support role in organizations. Sabancı University offers both the bachelor’s degree and master’s degree in Business Intelligence at the school of engineering as seen in the categorization of the degree course as either a bachelor’s or a master’s of science degree. The university also mentions the operational angle of the graduates of the degree course by explaining that the professionals within the niche of business intelligence operate in unique way from the traditional support information technology experts (Jordan, 2014). For instance, this distinction is readily evident in the sense that the professionals in Business Intelligence and Analytics adopt the usage of complex software in programming as well as other essential management skills as a basis to complete the support decision making function in the context of an organization.
This approach to bachelor’s degree or master’s degree in Business Intelligence Sabancı University fundamentally differs from the rest of the universities in Turkey which also offer courses in business intelligence. The universities under comparison in this analysis include Bahcesehir University which offers a course in Big Data Analytics and Management, Istanbul Sehir University which offers a course in Business Analytics both on a thesis and non- thesis basis (Guha & Kumar, 2018). The current trend that is easily notable from the analysis of the Business Intelligence and Analytics degree by Sabancı University is that this course seeks to explore and manage information in a fun provoking manner that is enjoyable to the professionals within the field or students under the course (Maheshwari, 2015). For instance, at the current moment, the Business Intelligence and Analytics degree is crucial in the sense that it enables an individual to acquire the useful set of skills in information gathering and analysis. This is a venture that is crucial for the present times as well as for the future of business information technology in the manner in which the skill allows a person so sieve through a large amount of data in a very short period of time to eradicate unreliable or data that is majorly irrelevant to the demands of the moment (Minelli, Chambers & Dhiraj, 2013). The Business Intelligence and Analytics course within Turkey is crucial towards the future of business and technological success since it will help businesses to narrow down on the time that is consumed in analysis of information or big data as well as the decision analysis and decision making (Haertzen, 2012). These are important frontiers that determine the future success of businesses hence this discipline is likely to prove most important to large organizations as more stakeholders seeks methods to ensure success.
The Business Intelligence at Sabancı University is similar to the courses offered by Bahcesehir University which offers a course in Big Data Analytics and Management as well as Istanbul Sehir University which offers a course in Business Analytics in certain ways (Fong et al., 2015). For instance, all the courses emphasize the need for the adoption of business intelligence as a crucial tool towards gauging the needs of the business as well as the changing scope of consumer behavior within the market environment (Salahshour, Nilashi & Mohamed, 2018). However, the three universities are essentially different in their conceptualization of the courses in business intelligence since the modes of instruction of the learners vary depending on the combination of the use of data knowledge, statistics as well as computer programming and software engineering knowledge. The field of Business Intelligence has different concentration areas under the course stipulation within Sabancı University and the career choices could include: program developer, BI manager, statistical and data analyst as well as system analysts within the different organizations (Anderson, 2012). The emphasis is heavily placed on the learners within the context of Business Intelligence degree to enable the optimum attainment of the general knowledge under the bachelor’s degree. The specialization initiatives under Business Intelligence usually occurs at the master’s level as the professional narrows down on a smaller niche to grow the skills and knowledge set under demand within the industry (Akhgar & Arabnia, 2013).
In conclusion, the Business Intelligence and Analytics course of Sabancı University in Turkey is peer- based and it runs for a total duration of about twenty one months and is majorly undertaken within the Behavioral Analytics & Visualization Lab. The programme is taught in English language and prior to the admission; an individual is bound to attend an entry level exam as well as a rigorous process of interviewing. The online resources that are used in the course training include the use of practical Behavioral Analytics & Visualization Lab, the use of webinars and podcasts for long- distance learning and sharing of notes and other useful resources through the e-learning portal and blackboards.
University Similarity Differences
Sabancı University Long-distance learning for all; online resources like e-learning portals and blackboards; peer- based learning Use of Behavioral Analytics & Visualization Lab;
Bahcesehir University Long-distance learning for all; online resources like e-learning portals and Peer- based learning process
Big Data Analytics and Management
Istanbul Sehir University Long-distance learning for all; online resources like e-learning portals and Peer- based learning process
Business Intelligence and Analytics are both thesis and non- thesis
Anderson, R. K. (2012). Visual data mining: The VisMiner approach. Chichester, West Sussex, U.K: Wiley.
The article discussed the important role that the concept of data mining plays in the search for simple solutions in complex databases by use of business intelligence and analytics skills.
Jordan, K. (February 01, 2014). Initial Trends in Enrolment and Completion of Massive Open Online Courses. International Review of Research in Open and Distance Learning, 15, 1, 133-160.
The author considers the rate of growth of open online courses as a consequence of the advent of more data platforms. The work also highlights the rising number of enrolment as a result of increased participation of people due to information availability.
Guha, S., & Kumar, S. (September 01, 2018). Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap. Production and Operations Management, 27, 9, 1724-1735.
The work renders a comprehensive discussion on the rise of big data projects and the extent to which this new digital footprint dominates websites as well as its influence on the daily lives of individuals.
In Akhgar, B., & In Arabnia, H. (2013). Emerging trends in ICT security. Waltham, Massachusetts: Morgan Kaufmann/Elsevier.
The author explains the recent trends in Information Technology and links them to the foundational aspects of open data and its analysis in the current world order as discussed under the Jordan State.
International Conference on the Applications of Digital Information and Web Technologies, In Mizera- Pietraszko, J., & In Fong, S. (2015). Advances in digital technologies: Proceedings of the 6th International Conference on Applications of Digital Information and Web Technologies 2015. Amsterdam: IOS Press.
The author explains the concept of Business Intelligence and its crucial nature towards the future of business and technological success since it will help businesses to narrow down on the time that is consumed in analysis of information or big data as well as the decision analysis and decision making.
Haertzen, D. (2012). The analytical puzzle: Profitable data warehousing, business intelligence and analytics. Westfield, NJ: Technics Publications.
The article explains that business intelligence is an important frontiers that determine the future success of businesses hence this discipline is likely to prove most important to large organizations as more stakeholders seeks methods to ensure success.
Maheshwari, A. (2015). Business intelligence and data mining. New York, New York (222 East 46th Street, New York, NY 10017): Business Expert Press.
The article captures the fact that professionals in Business Intelligence and Analytics adopt the usage of complex software in programming as well as other essential management skills as a basis to complete the support decision making function in the context of an organization.
Minelli, M., Chambers, M., & Dhiraj, A. (2013). Big data, big analytics: Emerging business intelligence and analytic trends for today’s businesses. Hoboken, New Jersey: John Wiley & Sons, Inc.
The author conceptualizes the important role that the availability of Big Data plays in both the present and future of information analysis and how this is likely to affect organizations and other future trends in business intelligence and analytics.
Salahshour, R. M., Nilashi, M., & Mohamed, D. H. (June 01, 2018). Information technology adoption: a review of the literature and classification. Universal Access in the Information Society: International Journal, 17, 2, 361-390.
This article emphasizes the intensive nature of the research work that is currently ongoing in the field of information technology as a basis for search of innovation on the usefulness of open data to governments, organizations and other corporate bodies.
Zhang, S. (July 01, 2011). Information enhancement for data mining. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 1, 4, 284-295.
The author discussed enhancement techniques that are crucial in the process of invention of the usefulness of open data in the rapidly evolving digital world.