Unit of competency Outline

Date retreived
22/07/2026 1:12 PM AWST

Whilst all efforts are made to provide accurate and timely information from the relevant source/documentation, please be aware that the information supplied may not be the most current version. The accuracy of the detail has not been confirmed by the Department and therefore should not be relied upon without first confirming the contents.

Mine data to identify industry directions

Mine data to identify industry directions

Unit of competency
National Code
BSBMKG528
State Code
AWF80
TGA Status
Replaced
DTWD Status
Replaced
Current Release Number
1.00
Current Release Date
14/01/2016
State Implementation and Classification
Approved Date
05/07/2016
Field of Education
080505 - Marketing
Original Release Date
05/07/2016
Nominal Hours
65
Description
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.
Notes
Elements and Performance Criteria
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
No information
No information
Replaced By
State Code National Code Title Type
OCF38 BSBMKG543 Plan and interpret market research Unit of competency