This unit describes the skills and knowledge required to analyse, interpret and apply insights from big data when making operational decisions. It involves applying skills in decision making and techniques for using big data in day-to-day work.

It applies to those who work in leadership and management positions, including in their own small business, in a broad range of industries who use big data analytics to drive their operational decision making.

No licensing, legislative or certification requirements apply to this unit at the time of publication.

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.

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.

Skills must be assessed in a workplace or simulated environment where conditions are typical of a work environment that uses big data.

Access is required to:

information and telecommunications equipment required to analyse and use big data sets

big data sources and summaries suited to business requirement in performance evidence

industry standards, organisational procedures, and legislative requirements required to demonstrate the performance evidence.

Assessors of this unit must satisfy the requirements for assessors in applicable vocational education and training legislation, frameworks and/or standards.

This section describes those language, literacy, numeracy and employment skills that are essential to performance but not explicit in the performance criteria.

Data Literacy – Data Literacy