Assessor Resource

BSBXBD406
Present big data insights

Assessment tool

Version 1.0
Issue Date: May 2024


This unit describes the skills and knowledge required to present insights relating to transactional and non-transactional big data in a format that is appropriate and accessible to the work area requesting it.

It applies to those who use big data analysis and presentation techniques in their day-to-day work in a broad range of industries and job roles.

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:

present the insights obtained from two different sets of big data using interactive dashboards and other models that serve to best visualise the insights.

One of the above sets must be transactional big data and one must be non-transactional.

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:

importance and benefits of big data presentation

strategies for determining requirements for presenting big data, including analysis of business areas that need improvement

methodology for conducting exploration and discovery of new and big data, including:

visualisation software to combine data from various sources to drive better business insights

business intelligence tools to discover and present hidden insights in data sets

structured, semi-structured and unstructured big data visualisation tools and techniques

organisational policies, procedures and protocols relating to presenting transactional and non-transactional big data insights, including:

using statistical graphs, plots, and information graphics to communicate big data insights

seeking feedback from stakeholders on presented big data

in-house and external sources of big data

appropriate methods and tools for creating and representing big data reports, including:

charts

heat maps

scatterplots

dashboards

interactive maps

real-time data

design approaches for visualising big data, including key performance indicators for the big data presentations in the performance evidence

dashboard design principles, including audience, context and aesthetics.

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 and technology required to present and visualise big data

big data 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:

present the insights obtained from two different sets of big data using interactive dashboards and other models that serve to best visualise the insights.

One of the above sets must be transactional big data and one must be non-transactional.

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:

importance and benefits of big data presentation

strategies for determining requirements for presenting big data, including analysis of business areas that need improvement

methodology for conducting exploration and discovery of new and big data, including:

visualisation software to combine data from various sources to drive better business insights

business intelligence tools to discover and present hidden insights in data sets

structured, semi-structured and unstructured big data visualisation tools and techniques

organisational policies, procedures and protocols relating to presenting transactional and non-transactional big data insights, including:

using statistical graphs, plots, and information graphics to communicate big data insights

seeking feedback from stakeholders on presented big data

in-house and external sources of big data

appropriate methods and tools for creating and representing big data reports, including:

charts

heat maps

scatterplots

dashboards

interactive maps

real-time data

design approaches for visualising big data, including key performance indicators for the big data presentations in the performance evidence

dashboard design principles, including audience, context and aesthetics.

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 and technology required to present and visualise big data

big data 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
Confirm business requirements for presenting big data insights 
Determine context and target audience for presentation 
Identify required big data relevant to business requirements 
Create and test proof of concepts for presenting identified business solution 
Identify key features and trends of captured big data in context of purpose and intended audience of presentation 
Generate big data models based on key performance indicators for big data presentation 
Produce interactive dashboards and other models that visualise identified data insights 
Present big data to required stakeholders in a format that meets business needs 
Seek feedback from required stakeholders on presented big data according to organisational policies and procedures 
Integrate feedback into big data presentation 

Forms

Assessment Cover Sheet

BSBXBD406 - Present big data insights
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

BSBXBD406 - Present big data insights

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: