Analyse the data and utilise a set of performance metrics

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Reference no: EM133710141

Data Visualisation Software

Business case background:

You have been hired as a sports analyst at a premier analytics consultancy firm, which generates revenue by monetising its strategic insights and expertise. Your primary role is to analyse both player and team performance data to make recommendations on contracts for the next season, as well as to identify potential sponsorship and advertising opportunities. Your task is to analyse the data and utilise a set of performance metrics to make recommendations to the league or individual teams, helping guide future business decisions in order to generate revenue for your consultancy.

Comprehensive Report: After refining your dashboard, you will create a written report aimed at a specific audience.

The specific requirements for this report and dashboard are:

Refinement of dashboard:

Make sure you have a variety of charts and at least one advanced chart in your dashboard.
Consider the theory of effective visualisations as you make refinements.
Make sure you have at least one drill through item (page) in your dashboard, such as teams or players.

Report:

Part A:
Clearly and concisely introduce the business problem.

Part B:

Perform some basic analyses of the data in addition to the dashboard.
Provide a comprehensive interpretation of the outputs (dashboard and additional analyses).
Make realistic recommendations regarding the players.

Part C:

Justify the visualisations by discussing them in the context of the theory in DATA4100, i.e. cognitive load, pre-attentive attributes and Tufte's principles.

No additional references, other than your learning materials are required.

Reference no: EM133710141

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