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.
ELEMENTS | PERFORMANCECRITERIA |
Elements describe the essential outcomes. | Performance criteria describe the performance needed to demonstrate achievement of the element. |
1. Access data. | 1.1. Identify organisational data collection needs. 1.2. Select methods for data collection and analysis. 1.3. Use selected methods to collect required data according to organisational data collection policies and procedures. 1.4. Store collected data according to organisational data collection policies and procedures and legal and ethical data storage requirements. |
2. Analyse data. | 2.1. Assess quality and relevance of data based on organisational data collection needs. 2.2. Cleanse and filter data to ensure captured data is relevant to organisational data collection needs. 2.3. Identify trends in performance through data mining and statistical analysis. 2.4. Analyse data to identify and determine impact of internal and external activity. 2.5. Determine return on investment of paid data collection and analysis. |
3. Report on findings. | 3.1. Use data analysis to identify and report on strengths, weaknesses, threats and opportunities. 3.2. Make recommendations for improvements based on findings. 3.3. Present findings and recommendations in appropriate format. 3.4. Communicate findings and recommendations to relevant personnel. |
Evidence of the ability to complete tasks outlined in elements and performance criteria of this unit in the context of the job role, and:
identify organisational data collection needs and follow organisational policies and procedures to collect performance data across one sales period
undertake an analysis of data captured during the above sales period to determine:
impact of internal activity
impact of external activity
customer insights
ecommerce performance
data trends
use data analysis findings to document:
strengths
weaknesses
opportunities
threats
recommendations for improved performance.
Demonstrated knowledge required to complete the tasks outlined in elements and performance criteria of this unit:
key legal and ethical considerations as related to data collection and storage
role of data collection and analysis in ecommerce
current ecommerce data collection methods:
benefits
limitations
role of data collection in identifying:
site visits
origin of customer traffic
paths to purchase
shopping cart abandonment
impact of internal and external activities
product viewings
customer behaviours online
future behaviours
social media impacts
customer relationship management and loyalty
click-throughs
net promoter score
search engine marketing and search engine optimisation
data quality measures:
validity
consistency
timeliness
accuracy
integrity
common analytical terminology used in an online sales environment
techniques to analyse and draw conclusions from data
formats for reporting data analysis.
Skills must be demonstrated in a service industries environment. This can be:
an industry workplace
a simulated industry environment.
Assessment must ensure access to:
relevant documentation:
organisational policies and procedures for:
data collection
data storage
organisational data collection needs
ecommerce performance data
data reporting template.
Assessors must satisfy the Standards for Registered Training Organisations' requirements for assessors.