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Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge

Elements and Performance Criteria

1. Identify business requirements relating to big data
   • Scope and confirm operational decision-making requirements
   • Identify opportunities for use of big data in business decision making
   • Confirm nature and scope of report requirements
2. Interpret big data sources and summaries
   • Access required big data sources and summaries according to organisational policies and procedures and legislative requirements
   • Apply insight analysis and descriptive statistics that support operational decision making
   • Use findings to identify insights that relate to identified operational decision-making requirements
3. Make operational decision based on big data analysis
   • Draft report on data analytics, applying identified insights to operational decision-making requirements
   • Seek input and integrate feedback from required stakeholders according to organisational policies and procedures
   • Finalise and distribute recommendations to required personnel according to organisational and legislative requirements

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:

interpret and use a big data set as the basis for two different operational decisions in work area.

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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:

legislative requirements relating to accessing and using sources and summaries of big data and big data sets, including data protection and privacy laws and regulations

organisational policies and procedures relating to using big data, including for:

scoping and confirming operational decision-making requirements

accessing big data sources and summaries

combining external big data sources, such as social media, with in-house big data sets

integrating big data and analytics into operational workflow

reporting on use of big data in relation to operational decisions described in performance evidence

seeking input and feedback from required stakeholders

distributing report on big dataanalytics

operational decision-making requirements relating to use of big data, including timelines

procedures for data-driven decision making, including what-if analysis scenarios and tools for optimisation and simulations

techniques for presenting big data analytics:

charts

heat maps

scatterplots

dashboards

statistical tools

key programming protocols and techniques required to use big data for operational decision making

domain knowledge of business processes required to demonstrate the performance evidence.

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