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

ICTICT812 Mapping and Delivery Guide
Develop a business intelligence framework

Version 1.0
Issue Date: April 2024


Qualification -
Unit of Competency ICTICT812 - Develop a business intelligence framework
Description
Employability Skills
Learning Outcomes and Application This unit describes the skills and knowledge to evaluate the business intelligence (BI) requirements of an organisation, and to select the correct methodologies to develop a BI solution.It applies to individuals who work in high-level management positions and lead the analysis, implementation and management of emerging, and converging, information and communications technology (ICT) as they are integrated into the business process, to support the organisational strategic goals of medium to large organisations.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.

Gather evidence to demonstrate consistent performance in conditions that are safe and replicate the workplace. Noise levels, production flow, interruptions and time variances must be typical of those experienced in the general information and communications technology (ICT) industry, and include access to:

a business intelligence focus

relevant enterprise documentation, including human resource (HR) and quality management policies.

Assessors must satisfy NVR/AQTF assessor requirements.
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: Elicit the business intelligence requirements
  • Articulate the benefits of business intelligence
  • Select the appropriate system development methodology, through the analysis of a range of options
  • Critically evaluate the impact of business intelligence on the enterprise
  • Select the appropriate business model for a data repository
  • Adopt a metadata standard for the enterprise
  • Establish the appropriate data analysis techniques
       
Element: Direct the business intelligence data manipulation
  • Identify the data sources and scope
  • Evaluate and endorse the selected data-manipulation methods
  • Critically review, and commit to, the feasibility of the architecture design
  • Develop the acceptance criteria
  • Endorse the selected data-modelling techniques and processes
  • Endorse a load balancing algorithm for optimum processing
  • Sign off the design specifications
       
Element: Endorse the business intelligence solution architecture
  • Ensure that the data-warehousing management techniques and processes are according to the specifications
  • Lead the scoping of logical data models
  • Supervise the selection of middleware tools
  • Critically review, and commit to, a searchable data repository solution
       
Element: Finalise the testing and accept the framework
  • Finalise the physical data model
  • Complete testing of the overall model
  • Test the security
  • Test the integrity
  • Perform a user-acceptance test
       


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. Elicit the business intelligence requirements

1.1 Articulate the benefits of business intelligence

1.2 Select the appropriate system development methodology, through the analysis of a range of options

1.3 Critically evaluate the impact of business intelligence on the enterprise

1.4 Select the appropriate business model for a data repository

1.5 Adopt a metadata standard for the enterprise

1.6 Establish the appropriate data analysis techniques

2. Direct the business intelligence data manipulation

2.1 Identify the data sources and scope

2.2 Evaluate and endorse the selected data-manipulation methods

2.3 Critically review, and commit to, the feasibility of the architecture design

2.4 Develop the acceptance criteria

2.5 Endorse the selected data-modelling techniques and processes

2.6 Endorse a load balancing algorithm for optimum processing

2.7 Sign off the design specifications

3. Endorse the business intelligence solution architecture

3.1 Ensure that the data-warehousing management techniques and processes are according to the specifications

3.2 Lead the scoping of logical data models

3.3 Supervise the selection of middleware tools

3.4 Critically review, and commit to, a searchable data repository solution

4. Finalise the testing and accept the framework

4.1 Finalise the physical data model

4.2 Complete testing of the overall model

4.3 Test the security

4.4 Test the integrity

4.5 Perform a user-acceptance test

Evidence of the ability to:

research and critically analyse the business intelligence requirements

review, analyse and direct, business intelligence data manipulation

review, critically analyse and endorse, the proposed business intelligence solution architecture

initiate and contrast the tests required for the intelligence framework, for final acceptance.

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:

evaluate the application of system development methodologies and other technical considerations including:

managing and using metadata

data modelling

data warehousing/back-end software alternatives

business analytics

business intelligence tools

analyse the organisational policies and procedures, as they apply to the business intelligence frameworks

discuss behaviour theories as they apply to business intelligence, including:

responsibility and achievement

affiliation management

motivation

appraise and evaluate, the business intelligence (BI) procedures

interpret the workplace and industry environmental conditions, as they apply to business intelligence.

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. Elicit the business intelligence requirements

1.1 Articulate the benefits of business intelligence

1.2 Select the appropriate system development methodology, through the analysis of a range of options

1.3 Critically evaluate the impact of business intelligence on the enterprise

1.4 Select the appropriate business model for a data repository

1.5 Adopt a metadata standard for the enterprise

1.6 Establish the appropriate data analysis techniques

2. Direct the business intelligence data manipulation

2.1 Identify the data sources and scope

2.2 Evaluate and endorse the selected data-manipulation methods

2.3 Critically review, and commit to, the feasibility of the architecture design

2.4 Develop the acceptance criteria

2.5 Endorse the selected data-modelling techniques and processes

2.6 Endorse a load balancing algorithm for optimum processing

2.7 Sign off the design specifications

3. Endorse the business intelligence solution architecture

3.1 Ensure that the data-warehousing management techniques and processes are according to the specifications

3.2 Lead the scoping of logical data models

3.3 Supervise the selection of middleware tools

3.4 Critically review, and commit to, a searchable data repository solution

4. Finalise the testing and accept the framework

4.1 Finalise the physical data model

4.2 Complete testing of the overall model

4.3 Test the security

4.4 Test the integrity

4.5 Perform a user-acceptance test

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
Articulate the benefits of business intelligence 
Select the appropriate system development methodology, through the analysis of a range of options 
Critically evaluate the impact of business intelligence on the enterprise 
Select the appropriate business model for a data repository 
Adopt a metadata standard for the enterprise 
Establish the appropriate data analysis techniques 
Identify the data sources and scope 
Evaluate and endorse the selected data-manipulation methods 
Critically review, and commit to, the feasibility of the architecture design 
Develop the acceptance criteria 
Endorse the selected data-modelling techniques and processes 
Endorse a load balancing algorithm for optimum processing 
Sign off the design specifications 
Ensure that the data-warehousing management techniques and processes are according to the specifications 
Lead the scoping of logical data models 
Supervise the selection of middleware tools 
Critically review, and commit to, a searchable data repository solution 
Finalise the physical data model 
Complete testing of the overall model 
Test the security 
Test the integrity 
Perform a user-acceptance test 

Forms

Assessment Cover Sheet

ICTICT812 - Develop a business intelligence framework
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ICTICT812 - Develop a business intelligence framework

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