Unit of Competency Mapping – Information for Teachers/Assessors – Information for Learners

BSBMKG528 Mapping and Delivery Guide
Mine data to identify industry directions

Version 1.0
Issue Date: May 2024


Qualification -
Unit of Competency BSBMKG528 - Mine data to identify industry directions
Description
Employability Skills
Learning Outcomes and Application This unit describes the skills and knowledge required to select data sources and apply analysis tools to identify trends in data that inform industry directions for a product, brand or organisation.It applies to individuals working in a variety of marketing communications occupational roles who have responsibility for undertaking data mining to support plans and strategy development in an integrated marketing environment.No licensing, legislative or certification requirements apply to this unit at the time of publication.
Duration and Setting X weeks, nominally xx hours, delivered in a classroom/online/blended learning setting.

Assessment must be conducted in a safe environment where evidence gathered demonstrates consistent performance of typical activities experienced in the marketing communications field of work and include access to:

relevant legislation and regulations

communications equipment and technology

relevant workplace documentation and resources

case studies or, where possible, real situations

industry software packages and apps (where applicable).

Assessors of this unit must satisfy the requirements for assessors in applicable vocational education and training legislation, frameworks and/or standards.
Prerequisites/co-requisites
Competency Field
Development and validation strategy and guide for assessors and learners Student Learning Resources Handouts
Activities 		Slides
PPT 		Assessment 1 Assessment 2 Assessment 3 Assessment 4
Elements of Competency Performance Criteria              
Element: Determine purpose of data mining
  • Identify and review relevant client or organisational requirements for data mining
  • Confirm potential uses of data mining outcomes and recommendations
  • Recognise privacy and other requirements within current legislation, regulation and organisational policy that impact on data mining activities
       
Element: Identify data sources
  • Identify available data sources from public, client and organisation systems
  • Negotiate access rights and intellectual property release for relevant data sources
  • Rank and prioritise data sources for validity, reliability and completion rates
       
Element: Apply data mining techniques
  • Select appropriate tools and techniques suitable for the type and expected degree of complexity in data analysis
  • Classify data according to relevant factors including type, content, relationships, location, demographics and maturity
  • Analyse data to identify patterns, clusters and relationships
  • Use suitable graphical tools to visualise aggregated data
       
Element: Report and recommend on findings
  • Assess results of data mining against requirements in order to draw relevant insights
  • Weight insights for reliability and validity
  • 4.3 Report data mining process and outcomes in suitable format to support the organisation's knowledge base
  • Document lessons learned during the processes for future use
       


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. Determine purpose of data mining

1.1 Identify and review relevant client or organisational requirements for data mining

1.2 Confirm potential uses of data mining outcomes and recommendations

1.3 Recognise privacy and other requirements within current legislation, regulation and organisational policy that impact on data mining activities

2. Identify data sources

2.1 Identify available data sources from public, client and organisation systems

2.2 Negotiate access rights and intellectual property release for relevant data sources

2.3 Rank and prioritise data sources for validity, reliability and completion rates

3. Apply data mining techniques

3.1 Select appropriate tools and techniques suitable for the type and expected degree of complexity in data analysis

3.2 Classify data according to relevant factors including type, content, relationships, location, demographics and maturity

3.3 Analyse data to identify patterns, clusters and relationships

3.4 Use suitable graphical tools to visualise aggregated data

4. Report and recommend on findings

4.1 Assess results of data mining against requirements in order to draw relevant insights

4.2 Weight insights for reliability and validity

4.3 Report data mining process and outcomes in suitable format to support the organisation's knowledge base

4.4 Document lessons learned during the processes for future use

Evidence of the ability to:

determine data mining requirements from client and organisational sources

negotiate intellectual property rights release

apply current industry tools and techniques to a current customer data set to identify patterns and cluster trends

prepare graphical representation of data patterns

make recommendations based on an analysis of data mining results.

Note: If a specific volume or frequency is not stated, then evidence must be provided at least once.

To complete the unit requirements safely and effectively, the individual must:

list the various uses of data mining in the context of marketing communications

identify privacy and other relevant legislation related to public and private data

explain the terms 'data validity', 'reliability' and 'completion'

compare the characteristics of public, client and organisational data sets

identify and list the uses of current industry tools and techniques used in data mining.

Submission Requirements

List each assessment task's title, type (eg project, observation/demonstration, essay, assignment, 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. Determine purpose of data mining

1.1 Identify and review relevant client or organisational requirements for data mining

1.2 Confirm potential uses of data mining outcomes and recommendations

1.3 Recognise privacy and other requirements within current legislation, regulation and organisational policy that impact on data mining activities

2. Identify data sources

2.1 Identify available data sources from public, client and organisation systems

2.2 Negotiate access rights and intellectual property release for relevant data sources

2.3 Rank and prioritise data sources for validity, reliability and completion rates

3. Apply data mining techniques

3.1 Select appropriate tools and techniques suitable for the type and expected degree of complexity in data analysis

3.2 Classify data according to relevant factors including type, content, relationships, location, demographics and maturity

3.3 Analyse data to identify patterns, clusters and relationships

3.4 Use suitable graphical tools to visualise aggregated data

4. Report and recommend on findings

4.1 Assess results of data mining against requirements in order to draw relevant insights

4.2 Weight insights for reliability and validity

4.3 Report data mining process and outcomes in suitable format to support the organisation's knowledge base

4.4 Document lessons learned during the processes for future use

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
Identify and review relevant client or organisational requirements for data mining 
Confirm potential uses of data mining outcomes and recommendations 
Recognise privacy and other requirements within current legislation, regulation and organisational policy that impact on data mining activities 
Identify available data sources from public, client and organisation systems 
Negotiate access rights and intellectual property release for relevant data sources 
Rank and prioritise data sources for validity, reliability and completion rates 
Select appropriate tools and techniques suitable for the type and expected degree of complexity in data analysis 
Classify data according to relevant factors including type, content, relationships, location, demographics and maturity 
Analyse data to identify patterns, clusters and relationships 
Use suitable graphical tools to visualise aggregated data 
Assess results of data mining against requirements in order to draw relevant insights 
Weight insights for reliability and validity 
4.3 Report data mining process and outcomes in suitable format to support the organisation's knowledge base 
Document lessons learned during the processes for future use 

Forms

Assessment Cover Sheet

BSBMKG528 - Mine data to identify industry directions
Assessment task 1: [title]

Student name:

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

Student signature:

Result: Competent Not yet competent

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Assessor name:

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Assessment Record Sheet

BSBMKG528 - Mine data to identify industry directions

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:

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