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Elements and Performance Criteria
Performance Evidence
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:
purpose and benefits to organisation of big data analysislegislative requirements relating to analysing big data, including data protection and privacy laws and regulationsorganisational policies and procedures relating to analysing big data, including for:identifying big data sourcesestablishing and confirming categories to be applied in analysisanalysing data to identify business insightsintegrating big data sources, including structured, semi-structured, and unstructuredcombining external big data sources, such as social media, with in-house big datareporting on analysis of big data, including the use of suitable reporting and business intelligence (BI) toolsindustry protocols and procedures required to write basic queries to search combined big datarequired analytical techniques and tools to analyse transactional and non-transactional big data, including:data miningad hoc queriesoperational and real-time business intelligencetext analysisstatistical concepts relating to big data analyticsrelationship between raw big data and big datasetscommon models and tools to analyse big data, including features and functions of Excel software for advanced analytics of external big data sources of uncertainty within big dataclassification categories of analytics, including text, audio/video, web and networkrole of technology and automation tools in performing big data analytics.