Assessor Resource

BSBXBD404
Use big data for operational decision making

Assessment tool

Version 1.0
Issue Date: May 2024


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.

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.

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.

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.

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.
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 confirm operational decision-making requirements 
Identify opportunities for use of big data in business decision making 
Confirm nature and scope of report requirements 
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 
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 

Forms

Assessment Cover Sheet

BSBXBD404 - Use big data for operational 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

BSBXBD404 - Use big data for operational 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: