Highlights
Background
ABC QLD is a not-for-profit (NFP) organization located in Queensland Australia. As part of the 2021 strategy, ABC QLD has developed an aspirational future for the organisation which focuses on becoming an expert in youth development. To achieve the strategy, ABC QLD commits funds raised from various sources to a range of programs across multiple geographic areas.
To be socially responsible and ensure that the funds are used efficiently to achieve its strategy, ABC QLD’s manager has consulted you about the possibility of setting up a data analytics project so that you can help her understand how the organization performs. To conduct this project, your first task is to help the manager narrow down some specific questions.
ABC QLD has an internal data platform, which archives some data resulting from the organization’s daily operations. The archived data includes information with respect to all sessions/programs run over a period of 6 months across multiple locations. A detailed data dictionary will be provided on Moodle for your access.
These archived datasets, albeit not perfect, will be provided to help your exploration of operational activities. Because of the growing awareness that data analytics can facilitate organizations’ performance, ABC QLD is very supportive of collating any new data items for you may require once you have identified any sensible business questions.
Requirements:
Data analytics process can be described as IMPACT cycle. The purpose of this assignment is to offer you an opportunity to apply the IMPACT cycle to work on a real case, although the scope of the case has been scaled down.
The expected outcome of the assignment is a short report to present your insights gleaning from the background information and data provided. Insights can include, but are not limited to, how the organization performs currently and how the organization can improve its performance. The report can inform the manager of how the organization is operating and lays the foundation for further data analytics work.
The questions appearing in the background or requirements are vague. Please identify business questions (at least five questions) on your own, state the identified questions clearly, raise your hypothetical expectations and discuss the underlying reasons leading to your expectations. As an example, a specific question can be: which program is the most popular?
Data provided in case has its own limitations. Please discuss the limitations of the data which prevent you from exploring your questions to draw better conclusions/insights.
When you plan your analyses, please articulate how you will explore your own identified questions. Specifically, what tests do you want to use? Do you need new data items collected? If so, what are those data items? How will you visualize your findings?
After articulating your plan, please execute your plan accordingly.
In communicating your insights, you are encouraged to use dashboards. There is no limit about the number of dashboards, with 3 to 5 dashboards expected as a general guidance.
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