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Unit of competency details

BSBITU501 - Conduct data analysis (Release 1)

Summary

Usage recommendation:
Superseded
Mapping:
MappingNotesDate
Is superseded by BSBDAT501 - Analyse data 18/Oct/2020

Releases:
ReleaseRelease date
1 1 (this release) 27/Sep/2018


Classifications

SchemeCodeClassification value
ASCED Module/Unit of Competency Field of Education Identifier 080317 Quality Management  

Classification history

SchemeCodeClassification valueStart dateEnd date
ASCED Module/Unit of Competency Field of Education Identifier 080317 Quality Management  15/Nov/2018 
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Unit of competency

Modification History

Release 

Comments 

Release 1

This version first released with BSB Business Services Training Package Version 3.0.

Application

This unit describes the skills and knowledge required to identify and analyse numerical datasets from a range of sources. This unit also describes the necessary skills and knowledge to report findings of data analysis.

This unit applies to individuals who are required to analyse numerical datasets and deduce findings as part of their job roles. Individuals that undertake this unit are typically in roles in which they are required to analyse data and communicate trends and/or make recommendations.

No licensing, legislative, regulatory or certification requirements apply to this unit at the time of publication.

Unit Sector

Information and Communications Technology – IT Use

Elements and Performance Criteria

ELEMENT 

PERFORMANCE CRITERIA 

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Identify background to reliable sources of data

1.1 Evaluate the importance of large and dynamic data sets for business insight and decision making

1.2 Evaluate the business value of large and dynamic data sets

1.3 Document and describe the interdisciplinary, social and industrial contexts of data impacting organisation

1.4 Evaluate reliability of potential sources, considering timeliness, authority, audience, relevance and potential for bias

1.5 Access selected sources in accordance with the relevant organisational policy

2. Analyse and synthesise numerical datasets

2.1 Select methods of numerical data analysis in accordance with relevant industry standards, precedents and techniques

2.2 Compare and contrast how structured and unstructured data is stored and accessed

2.3 Evaluate the importance of real-time data access in exploiting large data sets

2.4 Identify trends and draw inferences in accordance with relevant industry standards, precedents and techniques

3. Produce meaningful outputs

3.1 Determine which trends and inferences are relevant in line with the purpose of the analysis and the relevant organisational strategies

3.2 Identify appropriate methods of reporting, considering the intended audience and relevant organisational requirements

3.3 Produce output that is clear and concise within a pre-determined timeframe

3.4 Circulate to appropriate stakeholders in accordance with relevant organisational policy

Foundation Skills

This section describes those language, literacy, numeracy and employment skills that are essential to performance but not explicit in the performance criteria.

Skill 

Description 

Reading

  • Researches, analyses and evaluates textual information, from a wide range of sources, to identify information relevant to numerical data analysis

Writing

  • Develops complex plans and strategies using language and format appropriate to the audience and purpose

Oral Communication

  • Uses a range of techniques to communicate complex concepts

Numeracy

  • Analyses and synthesises highly embedded mathematical information while testing and analysing results

Navigate the world of work

  • Recognises and considers the implications of legal and regulatory responsibilities on own work
  • Adheres to implicit and explicit organisational procedures and policies, seeking advice from others if necessary

Interact with others

  • Actively identifies the requirements of important communication exchanges, selecting appropriate channel, format, tone and content to suit purpose and audience

Get the work done

  • Uses logical processes to plan, implement and monitor learning in the workplace
  • Evaluates outcomes of data analysis processes to identify opportunities for improvement

Unit Mapping Information

Code and title  

current version 

Code and title 

previous version 

Comments 

Equivalence status 

BSBITU501 Conduct data analysis

Release 1

Not applicable

New unit

No equivalent unit

Links

Companion Volume implementation guides are found in VETNet - https://vetnet.gov.au/Pages/TrainingDocs.aspx?q=11ef6853-ceed-4ba7-9d87-4da407e23c10

 

Assessment requirements

Modification History

Release 

Comments 

Release 1

This version first released with BSB Business Services Training Package Version 3.0.

Performance Evidence

Evidence of the ability to:

  • identify, evaluate and safely access sources of information
  • analyse complex numerical datasets that is based on:
  • analysis of the organisation’s objectives, existing processes and resources
  • research of existing best practice in industry
  • articulate trends and inferences drawn from numerical data and how they may apply in an organisational context, in such a manner that is understandable to a diverse audience group.

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

Knowledge Evidence

The candidate must be able to demonstrate the following knowledge to effectively complete the tasks outlined in the elements and performance criteria of this unit, and to manage tasks and reasonably foreseeable contingencies in the context of the work role:

  • key features of an information source and its reliability for organisational purposes
  • key details of datasets and techniques for synthesising complex numerical information
  • key features of existing organisational policies relating to:
  • the access of information
  • the recording and reporting of information
  • key features of industry standards and techniques relating to data analysis
  • key legislative requirements relating to workplace procedures.

Assessment Conditions

Assessment must be conducted in a safe environment where evidence gathered demonstrates consistent performance of typical activities experienced in the Information and Communications Technology – IT Use field of work and include access to:

  • office equipment, technology, software and consumables required to analyse data
  • case studies and, where possible, real situations
  • organisational operational policies and procedures required for role.

Assessors of this unit must satisfy the assessor requirements in applicable vocational education and training legislation, frameworks and/or standards.

Links

Companion Volume implementation guides are found in VETNet - https://vetnet.gov.au/Pages/TrainingDocs.aspx?q=11ef6853-ceed-4ba7-9d87-4da407e23c10