Learning Outcomes Assessed: S1,S2,S3,K3, K4, A1,A2 Purpose: To encourage and provide students on-hands experiences of using SAP Analytics tools to explore, extract and analyse enterprise data 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 Some datasets/sources: http://data.un.org/Explorer.aspx http://data.worldbank.org/topic/environment https://data.oecd.org/ http://geodata.grid.unep.ch/ http://open-data.europa.eu/en/data/publisher/eea https://www.data.gov/ Report Submission: Hard-copy to tutors/lecturers assignment box in week 10. Doublesided printing for the hard-copy is encouraged in order to save paper. 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.