Unit of competency Outline
Date retreived
22/07/2026 10:52 AM AWST
22/07/2026 10:52 AM 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.
Clean and verify data
Clean and verify data
Unit of competency
National Code
ICTDAT402
ICTDAT402
State Code
OBU96
OBU96
TGA Status
Current
Current
DTWD Status
Approved
Approved
State Implementation and Classification
Approved Date
15/01/2021
Field of Education
020305 - Systems Analysis And Design
Original Release Date
15/01/2021
Nominal Hours
45
Description
This unit describes the skills and knowledge required to clean and verify data obtained from a variety of sources. It involves the use of analytics and review to ensure data quality for an organisation is according to industry practices and organisational policies, procedures and protocols. It applies to data analytics specialists who work within in a broad range of industries and are responsible for processing data sets for a business.No licensing, legislative or certification requirements apply to this unit at the time of publication.
Notes
Elements and Performance Criteria
1. Prepare data sets
- 1.1 Identify data sets and establish task requirements according to business needs
- 1.2 Unify data from different sets according to task requirements
- 1.3 Review data and confirm accuracy of input and restriction to numerical values
2. Review and clean data set
- 2.1 Identify and remove incorrect data input and formulate data according to task requirements
- 2.2 Confirm required data set parameter range according to task requirements
- 2.3 Run analytics and confirm that data set consistency according to task requirements
- 2.4 Remove any data values that are outside upper and lower threshold of acceptable range
3. Verify data set
- 3.1 Confirm consistency between digitally entered data and manually entered data
- 3.2 Identify and review over-writes according to organisational requirements
- 3.3 Review data set and confirm analytical suitability according to task requirements
- 3.4 Store data set securely according to organisational procedures, legislative requirements and industry standard practices
- 3.5 Obtain final task sign off from required personnel
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|---|---|---|---|
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