Assessor Resource

AMPMGT809
Analyse data for business decision making

Assessment tool

Version 1.0
Issue Date: March 2024


This unit describes the statistical skills and knowledge required to support decision making for a business or business unit.

This unit applies to leaders or managers who use data analysis and decision-making skills and techniques in the management of their day-to-day work. They must assemble or obtain raw data, process that data and analyse and interpret it in a way that enables sound decision-making.

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

You may want to include more information here about the target group and the purpose of the assessments (eg formative, summative, recognition)



Evidence Required

List the assessment methods to be used and the context and resources required for assessment. Copy and paste the relevant sections from the evidence guide below and then re-write these in plain English.

Element

Performance criteria

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Identify and access data sources available to the business

1.1 Scope and define data collection requirements of the business question or issue

1.2 Identify and assess data sources

1.3 Research and/or collate data in accordance with legislation, policies and guidelines

1.4 Evaluate accuracy and appropriateness of data

1.5 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

2.1 Collect, store and retrieve data using software in accordance with legislation, policy and guidelines

2.2 Use spreadsheet tools to retrieve data and present it in suitable formats

2.3 Display graphical data in accordance with presentation principles

2.4 Perform quantitative and/or qualitative analysis to obtain required outcome

2.5 Use analysis and descriptive tools and techniques appropriately given the nature of the information and the required outcomes

2.6 Identify and describe methodological limitations

2.7 Calculate summary statistics from the given data set in accordance with the business requirement

3. Produce information for business decision making

3.1 Interpret data summaries and trends in accordance with accepted standards

3.2 Interpret and explain statistical tests

3.3 Interpret data to enable informed business decision-making

3.4 Present data, charts and maps clearly for ease of understanding

3.5 Include glossaries, technical notes and referencing, where required

3.6 Prepare and present reports that include statistical concepts, tables, charts and maps in accordance with enterprise policies and procedures

3.7 Present findings appropriately for the audience

3.8 Use charts appropriately in presentations, taking into account the variables being charted and accepted standards

3.9 Communicate assumptions informing interpretation in accordance with audience needs

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

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)

Competency must be demonstrated through sustained performance over time, at an appropriate level of responsibility and under typical operating and production conditions for the enterprise.

Assessment must ensure:

competence is consistently demonstrated over time, and over a range and variety of complex tasks/projects and situations

access to resources normally used in the workplace including organisational policies and procedures, relevant legislation

Assessors must satisfy current standards for RTOs.


Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assingnment, checklist) and due date here

Assessment task 1: [title]      Due date:

(add new lines for each of the assessment tasks)


Assessment Tasks

Copy and paste from the following data to produce each assessment task. Write these in plain English and spell out how, when and where the task is to be carried out, under what conditions, and what resources are needed. Include guidelines about how well the candidate has to perform a task for it to be judged satisfactory.

Element

Performance criteria

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Identify and access data sources available to the business

1.1 Scope and define data collection requirements of the business question or issue

1.2 Identify and assess data sources

1.3 Research and/or collate data in accordance with legislation, policies and guidelines

1.4 Evaluate accuracy and appropriateness of data

1.5 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

2.1 Collect, store and retrieve data using software in accordance with legislation, policy and guidelines

2.2 Use spreadsheet tools to retrieve data and present it in suitable formats

2.3 Display graphical data in accordance with presentation principles

2.4 Perform quantitative and/or qualitative analysis to obtain required outcome

2.5 Use analysis and descriptive tools and techniques appropriately given the nature of the information and the required outcomes

2.6 Identify and describe methodological limitations

2.7 Calculate summary statistics from the given data set in accordance with the business requirement

3. Produce information for business decision making

3.1 Interpret data summaries and trends in accordance with accepted standards

3.2 Interpret and explain statistical tests

3.3 Interpret data to enable informed business decision-making

3.4 Present data, charts and maps clearly for ease of understanding

3.5 Include glossaries, technical notes and referencing, where required

3.6 Prepare and present reports that include statistical concepts, tables, charts and maps in accordance with enterprise policies and procedures

3.7 Present findings appropriately for the audience

3.8 Use charts appropriately in presentations, taking into account the variables being charted and accepted standards

3.9 Communicate assumptions informing interpretation in accordance with audience needs

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

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)

Competency must be demonstrated through sustained performance over time, at an appropriate level of responsibility and under typical operating and production conditions for the enterprise.

Assessment must ensure:

competence is consistently demonstrated over time, and over a range and variety of complex tasks/projects and situations

access to resources normally used in the workplace including organisational policies and procedures, relevant legislation

Assessors must satisfy current standards for RTOs.

Copy and paste from the following performance criteria to create an observation checklist for each task. When you have finished writing your assessment tool every one of these must have been addressed, preferably several times in a variety of contexts. To ensure this occurs download the assessment matrix for the unit; enter each assessment task as a column header and place check marks against each performance criteria that task addresses.

Observation Checklist

Tasks to be observed according to workplace/college/TAFE policy and procedures, relevant legislation and Codes of Practice Yes No Comments/feedback
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 
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 
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 
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 
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 
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 

Forms

Assessment Cover Sheet

AMPMGT809 - Analyse data for business decision making
Assessment task 1: [title]

Student name:

Student ID:

I declare that the assessment tasks submitted for this unit are my own work.

Student signature:

Result: Competent Not yet competent

Feedback to student

 

 

 

 

 

 

 

 

Assessor name:

Signature:

Date:


Assessment Record Sheet

AMPMGT809 - Analyse data for business decision making

Student name:

Student ID:

Assessment task 1: [title] Result: Competent Not yet competent

(add lines for each task)

Feedback to student:

 

 

 

 

 

 

 

 

Overall assessment result: Competent Not yet competent

Assessor name:

Signature:

Date:

Student signature:

Date: