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Elements and Performance Criteria

Performance Evidence

The candidate must demonstrate the ability to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including evidence of the ability to:

present the insights obtained from two different sets of big data using interactive dashboards and other models that serve to best visualise the insights.

One of the above sets must be transactional big data and one must be non-transactional.

Knowledge Evidence

The candidate must be able to demonstrate knowledge to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including knowledge of:

importance and benefits of big data presentation

strategies for determining requirements for presenting big data, including analysis of business areas that need improvement

methodology for conducting exploration and discovery of new and big data, including:

visualisation software to combine data from various sources to drive better business insights

business intelligence tools to discover and present hidden insights in data sets

structured, semi-structured and unstructured big data visualisation tools and techniques

organisational policies, procedures and protocols relating to presenting transactional and non-transactional big data insights, including:

using statistical graphs, plots, and information graphics to communicate big data insights

seeking feedback from stakeholders on presented big data

in-house and external sources of big data

appropriate methods and tools for creating and representing big data reports, including:

interactive maps

design approaches for visualising big data, including key performance indicators for the big data presentations in the performance evidence

dashboard design principles, including audience, context and aesthetics.