This project is a cross-collaboration between research and operations to generate a report that can be run to identify causal relationships and predict the requirements of the Charles Perkins Centre (CPC) hub moving into the future. This involved the Extraction, Transfer and Loading (ETL) of several large data sources, visualisations and data analysis.
21 Aug 2017
Completed 04 Oct 2017
The Project team are expecting the data to help answer the following questions:
L1b. Clear allocation of duties, workload and regular team updates.
C2. Project owners unsure of privacy and consent requirements across their individual datasets.
Machine Learning output
Data Blob Storage
Using big data and data analytics, researchers can visualise complex concepts as interactive graphs, charts and maps. This can s...