St significant and essential elements from the transformation of UFV into a data-driven organisation What will likely be the important outcomes of this transformation Query 2: How do you really feel in relation towards the transformation project (distant, close, motivated, expectant, confused, etc.) Question three: How would you envision your day-to-day function in case you have been to have all of the data out there and had been functioning within this way What could be different Question 4: How would you describe an analytical mentality and data-based decision-making What would be the attitudes, behaviour, and competences of those individuals Would they be prepared Question five: Let us assume that the crucial aspects of transforming the university into a data-driven organisation are:Technology: essential to make facts useable and precise (artificial intelligence, user practical experience, single data lake); Analytic mentality: a data-based culture with all the vital competences; Leadership and decision-making: depending on information (data controls and KPIs); Improved information management (information top quality, PHA-543613 Protocol ethics, enhanced processes).With these, precise and quality information might be collected with all the important technologies and analytic mentality to produce use of this data to have a fuller picture of reality, improved decision-making, and management in the service of people and their development. Score from 1 to ten your amount of agreement with elements a, b, c, and d above, and comment on whether you’ll find any other aspects you think are vital to transformation. Query 6: Inside your opinion, that are the 3 most significant causes that justify the work to transform the university into a data-driven organisation Question 7: What value do you think this project brings for your area especially Question eight: How do you believe you must contribute to the project and to what extent do your really feel ready What would you will need to really feel ready Question 9: What will be the most important difficulties/barriers to the project How can they be overcomeSustainability 2021, 13,27 ofAppendix D. Questions for Expert Consultants Query 1: Universities are now applying information to improve their decision-making, both for their students and in organization and management elements. Examples of the use of data in American universities:Measuring Pinacidil Membrane Transporter/Ion Channel student functionality, giving guidance and assistance to people who require it, enabling for early intervention and enable for students ahead of it can be also late; Student admissions method to pick by far the most promising students and predict their potential; To assistance student enrolment and enhance the amount of students in the university; To raise additional donations (for American universities, donations are a crucial source of income); The use of info from LMS (Canvas, Moodle, and so forth) to assistance students and improve mastering outcomes; The usage of biometric information to understand patterns of strain and consideration amongst students, for example a biometric bracelet tracking electrical charges in the sympathetic nerves from the student (by analysing the information from each bracelet, teachers can decide the level of commitment in the student (or lack thereof) in true time); In construction projects to optimise the usage of space; Blockchain for safety and veracity of accreditations; Detection of safety threats to the university network; Retention of students and enhanced graduation rates.In what specific locations, and making use of what methodology (econometrics, neural networks, etc.), do you feel this information can assist the university additionally to.