Elements and Performance Criteria

The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording, if used in the performance criteria, is detailed below. Essential operating conditions that may be present with training and assessment (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) may also be included.

Business intelligence may include:
analytics
benchmarking
business performance management
data mining
online analytical processing
predictive analytics
reporting
text mining.
System development methodology may include:
agile unified process (AUP)
prop-typing
rational unified process (RUP)
spiral
systems development life cycle (SDLC)
waterfall.
Metadata standard may include:
common warehouse meta-model (CWM)
data documentation initiative (DDI)
digital object identifier (DOI)
Dublin core
eGovernment Metadata Standard (E-GMS)
ISO 23081
ISO/IEC 11179
multimedia content description interface (MPEG-7)
online information exchange (ONIX).
Data-modelling techniques may include:
Bachman diagrams
Barker's notation
Chen's notation
data vault modelling (DVM)
Extended Backus-Naur form
IDEF1X
object role modelling (ORM)
object-relational mapping
relational model.
Load balancing algorithm may include:
biasing algorithm
round-robin algorithm.
Middleware may include:
application servers
web servers.
Data repository may include:
component-repository management
digital repository
information repository
repository open-service interface definition
software repository.

The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria, required skills and knowledge, range statement and the Assessment Guidelines for the Training Package.

Overview of assessment

Critical aspects for assessment and evidence required to demonstrate competency in this unit
Evidence of the ability to:
determine the human factors that need to be analysed when managing people and groups
conduct business meetings applying effective communication techniques
determine essential requirements of a product, applying quality management principles
monitor and implement training for staff
resolve problems and conflicts in a business environment
support human resource management program.
Context of and specific resources for assessment
Assessment must ensure access to:
a business intelligence focus
relevant enterprise documentation, including HR and quality management policies.
Where applicable, physical resources should include equipment modified for people with special needs.
Method of assessment
A range of assessment methods should be used to assess practical skills and knowledge. The following examples are appropriate for this unit:
direct observation of the candidate running a productive business meeting and using effective interview techniques
verbal or written questioning to assess the candidate’s required knowledge of:
business intelligence
data warehousing
data modelling
business domain
review of quality reports prepared by the candidate on the development of the business intelligence framework
evidence of candidate’s consultations with staff and management.
Guidance information for assessment
Holistic assessment with other units relevant to the industry sector, workplace and job role is recommended, where appropriate.
Assessment processes and techniques must be culturally appropriate, and suitable to the communication skill level, language, literacy and numeracy capacity of the candidate and the work being performed.
Indigenous people and other people from a non-English speaking background may need additional support.
In cases where practical assessment is used it should be combined with targeted questioning to assess required knowledge.