This is a business analytics project aimed at generating innovative analytics solutions. It will allow students to show innovation and creativity in applying SAP Business Object/Predictive Analytics and designing useful visualization solutions and predictive models for different types of analytics problems.
The topic will be on environmental issues. Your main task is to apply any of the analytical tools to develop innovative analytics visualization solutions and predictive models with regards to environment, e.g. climate change, energy consumption, carbon footprint, greenhouse gas emission, pollution dashboard, etc. Besides the suggested datasets/sources, you may apply any other real-world dataset to illustrate your approach (the different datasets can be combined too). Please find the attached sample reports.
You will also submit a 9-10 pages report (about 3000 words not counting cover page and references). At least 15 references in your report must be from peer reviewed sources. All sources of information must be included, as well as any person(s) you interviewed for this project.
Reports are to be presented in hard copy in size 12 Arial Font and double spaced. Your report should include a list of references used in the essay and a bibliography of the wider reading you have done to familiarize yourself on the topic.
A passing grade will be awarded to assignments adequately addressing all assessment criteria. Higher grades require better quality and more effort. For example, a minimum is set on the wider reading required. A student reading vastly more than this minimum will be better prepared to discuss the issues in depth and consequently their report is likely to be of a higher quality. So before submitting, please read through the assessment criteria very carefully.
Attachment:- Report.rar