Application
This unit describes the skills and knowledge required to analyse transactional and non-transactional big data in order to provide insights that are used in an organisation. It involves identifying trends and relationships within big data, and establishing data acceptability. It also involves forming recommendations based on the analysis, and reporting on analysis findings.
It applies to those who work in a broad range of industries and job roles using big data analysis techniques in their day-to-day work.
No licensing, legislative or certification requirements apply to this unit at the time of publication.
Elements and Performance Criteria
1. Determine purpose and scope of big data analysis | 1.1 Determine organisational requirements for big data analysis 1.2 Identify internal and external sources of big data to be analysed according to organisational policies and procedures and legislative requirements 1.3 Establish and confirm parameters to be applied in analysis according to organisational policies and procedures |
2. Analyse initial trends and relationships in captured big data | 2.1 Categorise and prepare captured big data for analysis 2.2 Extract and transform structured and unstructured big data in preparation for data analysis 2.3 Analyse big data and derive insights into trends using required tools and dashboards |
3. Finalise big data analysis | 3.1 Conduct statistical analysis to confirm accuracy of big data analysis 3.2 Isolate and remove identified incorrect results 3.3 Develop report on key outcomes from analysis 3.4 Store analytics results, associated report and supporting evidence according to organisational policies and procedures, and legislative requirements |
Evidence of Performance
The candidate must demonstrate the ability to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including evidence of the ability to:
analyse trends and relationships in two different sets of big data: one transactional and one non-transactional
report on the results and insights from each analysis
store analytics results from each of the two big data sets according to organisational policies and procedures.
Evidence of Knowledge
The candidate must be able to demonstrate knowledge to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including knowledge of:
purpose and benefits to organisation of big data analysis
legislative requirements relating to analysing big data, including data protection and privacy laws and regulations
organisational policies and procedures relating to analysing big data, including for:
identifying big data sources
establishing and confirming categories to be applied in analysis
analysing data to identify business insights
integrating big data sources, including structured, semi-structured, and unstructured
combining external big data sources, such as social media, with in-house big data
reporting on analysis of big data, including the use of suitable reporting and business intelligence (BI) tools
industry protocols and procedures required to write basic queries to search combined big data
required analytical techniques and tools to analyse transactional and non-transactional big data, including:
data mining
ad hoc queries
operational and real-time business intelligence
text analysis
statistical concepts relating to big data analytics
relationship between raw big data and big datasets
common models and tools to analyse big data, including features and functions of Excel software for advanced analytics of external big data
sources of uncertainty within big data
classification categories of analytics, including text, audio/video, web and network
role of technology and automation tools in performing big data analytics.
Assessment Conditions
Skills must be assessed in a workplace or simulated environment where conditions are typical of a work environment that uses big data.
Access is required to:
information and telecommunications equipment required to analyse big data
big data sets to be analysed
industry standards, organisational procedures, and legislative requirements required to demonstrate the performance evidence.
Assessors of this unit must satisfy the requirements for assessors in applicable vocational education and training legislation, frameworks and/or standards.
Foundation Skills
Learning | Modifies behaviour following exposure to new information |
Numeracy | Uses mathematical and statistical concepts required to analyse big data Completes at times complex calculations and records numerical data |
Reading | Identifies and interprets information from sources to complete work |
Writing | Uses clear, specific and industry-related terminology to represent outcomes of big data analysis in reports |
Planning and organising | Efficiently and logically sequences the stages of big data analysis |
Technology | Uses appropriate technology platforms to analyse big data Basic programming to conduct big data analysis |
Sectors
Data Literacy – Data Literacy