Elements and Performance Criteria
- Identify background to reliable sources of data
- Evaluate the importance of large and dynamic data sets for business insight and decision making
- Evaluate the business value of large and dynamic data sets
- Document and describe the interdisciplinary, social and industrial contexts of data impacting organisation
- Evaluate reliability of potential sources, considering timeliness, authority, audience, relevance and potential for bias
- Access selected sources in accordance with the relevant organisational policy
- Analyse and synthesise numerical datasets
- Select methods of numerical data analysis in accordance with relevant industry standards, precedents and techniques
- Compare and contrast how structured and unstructured data is stored and accessed
- Evaluate the importance of real-time data access in exploiting large data sets
- Identify trends and draw inferences in accordance with relevant industry standards, precedents and techniques
- Produce meaningful outputs
- Determine which trends and inferences are relevant in line with the purpose of the analysis and the relevant organisational strategies
- Identify appropriate methods of reporting, considering the intended audience and relevant organisational requirements
- Produce output that is clear and concise within a pre-determined timeframe
- Circulate to appropriate stakeholders in accordance with relevant organisational policy