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Elements and Performance Criteria

1. Identify and access data sources available to the business
   • Scope and define data collection requirements of the business question or issue
   • Identify and assess data sources
   • Research and/or collate data in accordance with legislation, policies and guidelines
   • Evaluate accuracy and appropriateness of data
   • Record data in the desired format in accordance with professional, business and task requirements
2. Apply data analysis and decision making techniques to analyse business data
   • Collect, store and retrieve data using software in accordance with legislation, policy and guidelines
   • Use spreadsheet tools to retrieve data and present it in suitable formats
   • Display graphical data in accordance with presentation principles
   • Perform quantitative and/or qualitative analysis to obtain required outcome
   • Use analysis and descriptive tools and techniques appropriately given the nature of the information and the required outcomes
   • Identify and describe methodological limitations
   • Calculate summary statistics from the given data set in accordance with the business requirement
3. Produce information for business decision making
   • Interpret data summaries and trends in accordance with accepted standards
   • Interpret and explain statistical tests
   • Interpret data to enable informed business decision-making
   • Present data, charts and maps clearly for ease of understanding
   • Include glossaries, technical notes and referencing, where required
   • Prepare and present reports that include statistical concepts, tables, charts and maps in accordance with enterprise policies and procedures
   • Present findings appropriately for the audience
   • Use charts appropriately in presentations, taking into account the variables being charted and accepted standards
   • Communicate assumptions informing interpretation in accordance with audience needs
4. Identify and access data sources available to the business
   • Scope and define data collection requirements of the business question or issue
   • Identify and assess data sources
   • Research and/or collate data in accordance with legislation, policies and guidelines
   • Evaluate accuracy and appropriateness of data
   • Record data in the desired format in accordance with professional, business and task requirements
5. Apply data analysis and decision making techniques to analyse business data
   • Collect, store and retrieve data using software in accordance with legislation, policy and guidelines
   • Use spreadsheet tools to retrieve data and present it in suitable formats
   • Display graphical data in accordance with presentation principles
   • Perform quantitative and/or qualitative analysis to obtain required outcome
   • Use analysis and descriptive tools and techniques appropriately given the nature of the information and the required outcomes
   • Identify and describe methodological limitations
   • Calculate summary statistics from the given data set in accordance with the business requirement
6. Produce information for business decision making
   • Interpret data summaries and trends in accordance with accepted standards
   • Interpret and explain statistical tests
   • Interpret data to enable informed business decision-making
   • Present data, charts and maps clearly for ease of understanding
   • Include glossaries, technical notes and referencing, where required
   • Prepare and present reports that include statistical concepts, tables, charts and maps in accordance with enterprise policies and procedures
   • Present findings appropriately for the audience
   • Use charts appropriately in presentations, taking into account the variables being charted and accepted standards
   • Communicate assumptions informing interpretation in accordance with audience needs

Range Statement

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Performance Evidence

Candidates must complete workplace-relevant activities which involve assembling or obtaining raw data, processing it, and analysing and interpreting it in a way that enables sound decision-making. Evidence must demonstrate the candidate's consistency of performance over time.

Candidates must demonstrate ability to:

analyse and interpret data

identify sources of data, collect data, follow analysis procedures and explain results

apply decision making skills

negotiate effectively

collect data and produce reports

use problem-solving, initiative and enterprise skills to produce information relevant to business decision making

use research skills to identify and collect data

manage risk

differentiate between different types of data

differentiate between inferential and descriptive statistics

apply linear regression and correlation analysis techniques

provide advice for business decision making based on the results of statistical analysis

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Knowledge Evidence

Candidates must demonstrate specialised and integrated technical and theoretical knowledge of:

relevant legislation, codes of practice and standards

use of statistical data for business decision making

methods of data presentation

methods of describing data

risk and uncertainty

interval estimation

hypothesis testing

comparing group differences

simple linear regression and correlation

multiple regression

time-series analysis

the strengths and limitations of results produced by each statistical technique (error correction and hypothesis testing)

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