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As part of the Switching on Darwin project, a huge number of smart devices were installed in Darwin city in order to collect big data

As part of the "Switching on Darwin" project, a huge number of smart devices were installed in Darwin city in order to collect big data for their Smart city dashboard. This includes 684 LED smart streetlights, 44 wifi access points, 112 cameras, 252 parking sensors and other environmental monitoring systems.

The smart city dashboard data is displayed here

https://smart.darwin.nt.gov.au/dashboards/overview.jsp_gl=1*1h48nw*_ga*NjkxNDQyODQxLjE2NzE1MDA4NDQ.*_ga_1LHNM1YVHP*MTY3MTUwMDg0My4xLjAuMTY3MTUwMDg0My42 MC4wLjA.

and allows citizens to understand their environment better and therefore make more informed decisions while in the city.

Suppose the council are going to install such devices near you, so that your suburb can have its own local smart data dashboard. You have been asked to lead a team which will initially perform analytics on the data over a few months in order to see that the devices are optimally placed and everything is working properly. Following that, you will decide on additional data to be collected and the devices to be used. Lastly, you will work with analysts so that the final data set can be displayed in the form of a local smart data dashboard.

The main aims of the project are

Perform analytics on the available data for accuracy

Analyse and advise on device location with the view to installing more devices if not optimal, and decide on the final data set to be obtained, analysed and displayed

Evaluate the smart dashboard

Work with a team to implement the smart dashboard

With the CRISP-DM overall methodology in mind, answer the following questions

  • In a short paragraph, introduce the project and define four business questions, in your own opinio, that you could ask in relation to this project
  • Set two relevant KPI's for the project. These should be related to the business questions, and may be concerned with timelines, data collection or analytics methods.
  • Describe the specific data to be used for the project.
  • Writ a paragraph describing general features of the waterfall project methodology and how it would be applied to this project
  • Writ a paragraph describing how one of the newer Agile/Hybrid project methodologies (Scrum, Kanban,etc.) could be applied to this project.
  • Explain how you would evaluate and deploy (implement) the project.
  • Describe possible issues you may encounter as analytics meets project management.

Answers should be in the context of CRISP-DM.

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