Analytics Tools to Explore, Extract and Analyse Enterprise Data

Purpose: To encourage and provide students on-hands experiences of using SAP or Watson

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 or Watson Analytics in 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 possible datasets/sources:

http://data.un.org/Explorer.aspx http://data.worldbank.org/topic/environment https://data.oecd.org/ http://geodata.grid.unep.ch/

http://opendata.europa.eu/en/data/publisher/eea https://www.data.gov/