Assessor Resource

BSBXBD403
Analyse big data

Assessment tool

Version 1.0
Issue Date: May 2024


This unit describes the skills and knowledge required to analyse transactional and non-transactional big data in order to provide insights that are used in an organisation. It involves identifying trends and relationships within big data, and establishing data acceptability. It also involves forming recommendations based on the analysis, and reporting on analysis findings.

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

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:

analyse trends and relationships in two different sets of big data: one transactional and one non-transactional

report on the results and insights from each analysis

store analytics results from each of the two big data sets according to organisational policies and procedures.

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:

purpose and benefits to organisation of big data analysis

legislative requirements relating to analysing big data, including data protection and privacy laws and regulations

organisational policies and procedures relating to analysing big data, including for:

identifying big data sources

establishing and confirming categories to be applied in analysis

analysing data to identify business insights

integrating big data sources, including structured, semi-structured, and unstructured

combining external big data sources, such as social media, with in-house big data

reporting on analysis of big data, including the use of suitable reporting and business intelligence (BI) tools

industry protocols and procedures required to write basic queries to search combined big data

required analytical techniques and tools to analyse transactional and non-transactional big data, including:

data mining

ad hoc queries

operational and real-time business intelligence

text analysis

statistical concepts relating to big data analytics

relationship between raw big data and big datasets

common models and tools to analyse big data, including features and functions of Excel software for advanced analytics of external big data

sources of uncertainty within big data

classification categories of analytics, including text, audio/video, web and network

role of technology and automation tools in performing big data analytics.

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 big data

big data sets to be analysed

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:

analyse trends and relationships in two different sets of big data: one transactional and one non-transactional

report on the results and insights from each analysis

store analytics results from each of the two big data sets according to organisational policies and procedures.

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:

purpose and benefits to organisation of big data analysis

legislative requirements relating to analysing big data, including data protection and privacy laws and regulations

organisational policies and procedures relating to analysing big data, including for:

identifying big data sources

establishing and confirming categories to be applied in analysis

analysing data to identify business insights

integrating big data sources, including structured, semi-structured, and unstructured

combining external big data sources, such as social media, with in-house big data

reporting on analysis of big data, including the use of suitable reporting and business intelligence (BI) tools

industry protocols and procedures required to write basic queries to search combined big data

required analytical techniques and tools to analyse transactional and non-transactional big data, including:

data mining

ad hoc queries

operational and real-time business intelligence

text analysis

statistical concepts relating to big data analytics

relationship between raw big data and big datasets

common models and tools to analyse big data, including features and functions of Excel software for advanced analytics of external big data

sources of uncertainty within big data

classification categories of analytics, including text, audio/video, web and network

role of technology and automation tools in performing big data analytics.

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 big data

big data sets to be analysed

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
Determine organisational requirements for big data analysis 
Identify internal and external sources of big data to be analysed according to organisational policies and procedures and legislative requirements 
Establish and confirm parameters to be applied in analysis according to organisational policies and procedures 
Categorise and prepare captured big data for analysis 
Extract and transform structured and unstructured big data in preparation for data analysis 
Analyse big data and derive insights into trends using required tools and dashboards 
Conduct statistical analysis to confirm accuracy of big data analysis 
Isolate and remove identified incorrect results 
Develop report on key outcomes from analysis 
Store analytics results, associated report and supporting evidence according to organisational policies and procedures, and legislative requirements 

Forms

Assessment Cover Sheet

BSBXBD403 - Analyse big data
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

BSBXBD403 - Analyse big data

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: