The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!
From the Wiki University
What evidence can you provide to prove your understanding of each of the following citeria?
Analyse request to develop solution
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Specific problem or question is clarified in consultation with end user to establish end result specifications . Completed |
Evidence:
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Information required to achieve result is defined and required data sets are correctly determined. Completed |
Evidence:
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Assess data availability
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Availability of required data sets is ascertained through research of internal and external sources . Completed |
Evidence:
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Custodianship of data is confirmed and access and pricing are determined. Completed |
Evidence:
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Data is obtained in line with industry standards, statutory requirements and council policy. Completed |
Evidence:
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Where appropriate, procedures are developed to capture data. Completed |
Evidence:
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Assess data quality
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Data is assessed for integrity to determine suitability for task. Completed |
Evidence:
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Disparities between data sets are investigated and resolved to ensure integrity of data used. Completed |
Evidence:
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Run standard query
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Appropriate standard query is selected. Completed |
Evidence:
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Selected query is run to achieve required outcome . Completed |
Evidence:
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Validate outcome
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Appropriate data validation procedures are determined. Completed |
Evidence:
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Outcome is validated in line with predetermined procedures. Completed |
Evidence:
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Procedures to refine model or analytical procedures are developed. Completed |
Evidence:
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End user is consulted regarding suitability of outcome and amendments are negotiated as necessary. Completed |
Evidence:
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Analyse request to develop solution
|
|
Specific problem or question is clarified in consultation with end user to establish end result specifications . Completed |
Evidence:
|
Information required to achieve result is defined and required data sets are correctly determined. Completed |
Evidence:
|
Assess data availability
|
|
Availability of required data sets is ascertained through research of internal and external sources . Completed |
Evidence:
|
Custodianship of data is confirmed and access and pricing are determined. Completed |
Evidence:
|
Data is obtained in line with industry standards, statutory requirements and council policy. Completed |
Evidence:
|
Where appropriate, procedures are developed to capture data. Completed |
Evidence:
|
Assess data quality
|
|
Data is assessed for integrity to determine suitability for task. Completed |
Evidence:
|
Disparities between data sets are investigated and resolved to ensure integrity of data used. Completed |
Evidence:
|
Run standard query
|
|
Appropriate standard query is selected. Completed |
Evidence:
|
Selected query is run to achieve required outcome . Completed |
Evidence:
|
Validate outcome
|
|
Appropriate data validation procedures are determined. Completed |
Evidence:
|
Outcome is validated in line with predetermined procedures. Completed |
Evidence:
|
Procedures to refine model or analytical procedures are developed. Completed |
Evidence:
|
End user is consulted regarding suitability of outcome and amendments are negotiated as necessary. Completed |
Evidence:
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